From 444ae87042f43f5667522fad7662c65c9f3ad2d9 Mon Sep 17 00:00:00 2001 From: pytorchbot Date: Mon, 21 Aug 2023 00:47:39 +0000 Subject: [PATCH] Generate Python docs from pytorch/pytorch@c1cc74c7daa2156dd20406607dbee934be68f3a5 --- docs/main/_images/RReLU.png | Bin 34119 -> 34006 bytes docs/main/_modules/index.html | 2 +- docs/main/_modules/torch.html | 6 +- docs/main/_modules/torch/__config__.html | 2 +- docs/main/_modules/torch/_jit_internal.html | 2 +- docs/main/_modules/torch/_lobpcg.html | 10 +- .../_modules/torch/_logging/_internal.html | 2 +- docs/main/_modules/torch/_lowrank.html | 2 +- docs/main/_modules/torch/_tensor.html | 2 +- docs/main/_modules/torch/_tensor_str.html | 2 +- docs/main/_modules/torch/_utils.html | 2 +- .../_modules/torch/amp/autocast_mode.html | 2 +- .../torch/ao/nn/intrinsic/modules/fused.html | 2 +- .../nn/intrinsic/qat/modules/conv_fused.html | 2 +- .../nn/intrinsic/qat/modules/linear_relu.html | 2 +- .../dynamic/modules/linear_relu.html | 2 +- .../intrinsic/quantized/modules/bn_relu.html | 2 +- .../quantized/modules/conv_relu.html | 2 +- .../quantized/modules/linear_relu.html | 2 +- .../ao/nn/qat/dynamic/modules/linear.html | 2 +- .../torch/ao/nn/qat/modules/conv.html | 2 +- .../torch/ao/nn/qat/modules/linear.html | 2 +- .../ao/nn/quantizable/modules/activation.html | 2 +- .../torch/ao/nn/quantizable/modules/rnn.html | 6 +- .../nn/quantized/dynamic/modules/linear.html | 4 +- .../ao/nn/quantized/dynamic/modules/rnn.html | 6 +- .../torch/ao/nn/quantized/functional.html | 2 +- .../ao/nn/quantized/modules/activation.html | 2 +- .../ao/nn/quantized/modules/batchnorm.html | 2 +- .../torch/ao/nn/quantized/modules/conv.html | 2 +- .../nn/quantized/modules/embedding_ops.html | 2 +- .../quantized/modules/functional_modules.html | 2 +- .../torch/ao/nn/quantized/modules/linear.html | 2 +- .../nn/quantized/modules/normalization.html | 2 +- .../_modules/torch/ao/ns/_numeric_suite.html | 2 +- .../torch/ao/ns/_numeric_suite_fx.html | 2 +- docs/main/_modules/torch/ao/ns/fx/utils.html | 2 +- docs/main/_modules/torch/ao/quantization.html | 2 +- .../backend_config/backend_config.html | 2 +- .../torch/ao/quantization/fake_quantize.html | 2 +- .../torch/ao/quantization/fuse_modules.html | 2 +- .../ao/quantization/fx/custom_config.html | 2 +- .../torch/ao/quantization/observer.html | 2 +- .../torch/ao/quantization/qconfig.html | 2 +- .../ao/quantization/qconfig_mapping.html | 2 +- .../torch/ao/quantization/quantize.html | 2 +- .../torch/ao/quantization/quantize_fx.html | 2 +- .../_modules/torch/ao/quantization/stubs.html | 2 +- docs/main/_modules/torch/autograd.html | 2 +- .../_modules/torch/autograd/anomaly_mode.html | 8 +- .../_modules/torch/autograd/forward_ad.html | 2 +- .../_modules/torch/autograd/function.html | 2 +- .../_modules/torch/autograd/functional.html | 68 +++---- .../_modules/torch/autograd/grad_mode.html | 2 +- .../_modules/torch/autograd/gradcheck.html | 2 +- docs/main/_modules/torch/autograd/graph.html | 4 +- .../_modules/torch/autograd/profiler.html | 2 +- docs/main/_modules/torch/backends/cpu.html | 2 +- docs/main/_modules/torch/backends/cuda.html | 8 +- docs/main/_modules/torch/backends/cudnn.html | 2 +- docs/main/_modules/torch/backends/mkl.html | 2 +- docs/main/_modules/torch/backends/mkldnn.html | 2 +- docs/main/_modules/torch/backends/mps.html | 2 +- docs/main/_modules/torch/backends/openmp.html | 2 +- .../_modules/torch/backends/opt_einsum.html | 2 +- docs/main/_modules/torch/compiler.html | 2 +- docs/main/_modules/torch/cpu.html | 2 +- .../_modules/torch/cpu/amp/autocast_mode.html | 2 +- docs/main/_modules/torch/cuda.html | 2 +- docs/main/_modules/torch/cuda/_sanitizer.html | 2 +- .../torch/cuda/amp/autocast_mode.html | 2 +- .../_modules/torch/cuda/amp/grad_scaler.html | 2 +- docs/main/_modules/torch/cuda/graphs.html | 2 +- docs/main/_modules/torch/cuda/jiterator.html | 2 +- docs/main/_modules/torch/cuda/memory.html | 2 +- docs/main/_modules/torch/cuda/nvtx.html | 2 +- docs/main/_modules/torch/cuda/random.html | 2 +- docs/main/_modules/torch/cuda/streams.html | 2 +- docs/main/_modules/torch/distributed.html | 2 +- .../ddp_comm_hooks/debugging_hooks.html | 2 +- .../ddp_comm_hooks/default_hooks.html | 2 +- .../ddp_comm_hooks/powerSGD_hook.html | 2 +- .../torch/distributed/algorithms/join.html | 2 +- .../_modules/torch/distributed/autograd.html | 2 +- .../checkpoint/default_planner.html | 2 +- .../distributed/checkpoint/filesystem.html | 2 +- .../torch/distributed/checkpoint/planner.html | 2 +- .../checkpoint/state_dict_loader.html | 2 +- .../checkpoint/state_dict_saver.html | 2 +- .../torch/distributed/checkpoint/storage.html | 2 +- .../torch/distributed/distributed_c10d.html | 6 +- .../distributed/elastic/agent/server/api.html | 2 +- .../agent/server/local_elastic_agent.html | 2 +- .../torch/distributed/elastic/events.html | 2 +- .../torch/distributed/elastic/events/api.html | 2 +- .../distributed/elastic/events/handlers.html | 2 +- .../distributed/elastic/metrics/api.html | 2 +- .../distributed/elastic/multiprocessing.html | 2 +- .../elastic/multiprocessing/api.html | 2 +- .../elastic/multiprocessing/errors.html | 2 +- .../multiprocessing/errors/error_handler.html | 2 +- .../distributed/elastic/rendezvous/api.html | 2 +- .../rendezvous/c10d_rendezvous_backend.html | 2 +- .../rendezvous/dynamic_rendezvous.html | 2 +- .../elastic/rendezvous/etcd_rendezvous.html | 2 +- .../rendezvous/etcd_rendezvous_backend.html | 2 +- .../elastic/rendezvous/etcd_server.html | 2 +- .../elastic/rendezvous/etcd_store.html | 2 +- .../torch/distributed/elastic/timer/api.html | 2 +- .../elastic/timer/file_based_local_timer.html | 2 +- .../elastic/timer/local_timer.html | 2 +- .../_modules/torch/distributed/fsdp/api.html | 2 +- .../fsdp/fully_sharded_data_parallel.html | 2 +- .../distributed/nn/api/remote_module.html | 12 +- .../torch/distributed/optim/optimizer.html | 2 +- .../optim/post_localSGD_optimizer.html | 2 +- .../optim/zero_redundancy_optimizer.html | 2 +- .../torch/distributed/pipeline/sync/pipe.html | 6 +- .../pipeline/sync/skip/skippable.html | 2 +- docs/main/_modules/torch/distributed/rpc.html | 2 +- .../_modules/torch/distributed/rpc/api.html | 2 +- .../distributed/rpc/backend_registry.html | 2 +- .../torch/distributed/rpc/functions.html | 2 +- .../torch/distributed/rpc/options.html | 2 +- .../distributed/tensor/parallel/api.html | 2 +- .../distributed/tensor/parallel/ddp.html | 2 +- .../distributed/tensor/parallel/fsdp.html | 2 +- .../distributed/tensor/parallel/style.html | 2 +- .../torch/distributions/bernoulli.html | 2 +- .../_modules/torch/distributions/beta.html | 2 +- .../torch/distributions/binomial.html | 2 +- .../torch/distributions/categorical.html | 2 +- .../_modules/torch/distributions/cauchy.html | 2 +- .../_modules/torch/distributions/chi2.html | 2 +- .../distributions/constraint_registry.html | 2 +- .../torch/distributions/constraints.html | 2 +- .../distributions/continuous_bernoulli.html | 2 +- .../torch/distributions/dirichlet.html | 2 +- .../torch/distributions/distribution.html | 2 +- .../torch/distributions/exp_family.html | 2 +- .../torch/distributions/exponential.html | 2 +- .../torch/distributions/fishersnedecor.html | 2 +- .../_modules/torch/distributions/gamma.html | 2 +- .../torch/distributions/geometric.html | 2 +- .../_modules/torch/distributions/gumbel.html | 2 +- .../torch/distributions/half_cauchy.html | 2 +- .../torch/distributions/half_normal.html | 2 +- .../torch/distributions/independent.html | 6 +- .../main/_modules/torch/distributions/kl.html | 2 +- .../torch/distributions/kumaraswamy.html | 2 +- .../_modules/torch/distributions/laplace.html | 2 +- .../torch/distributions/lkj_cholesky.html | 2 +- .../torch/distributions/log_normal.html | 2 +- .../lowrank_multivariate_normal.html | 2 +- .../distributions/mixture_same_family.html | 2 +- .../torch/distributions/multinomial.html | 2 +- .../distributions/multivariate_normal.html | 2 +- .../distributions/negative_binomial.html | 2 +- .../_modules/torch/distributions/normal.html | 2 +- .../distributions/one_hot_categorical.html | 2 +- .../_modules/torch/distributions/pareto.html | 2 +- .../_modules/torch/distributions/poisson.html | 2 +- .../distributions/relaxed_bernoulli.html | 2 +- .../distributions/relaxed_categorical.html | 2 +- .../torch/distributions/studentT.html | 2 +- .../transformed_distribution.html | 2 +- .../torch/distributions/transforms.html | 2 +- .../_modules/torch/distributions/uniform.html | 2 +- .../_modules/torch/distributions/utils.html | 2 +- .../torch/distributions/von_mises.html | 2 +- .../_modules/torch/distributions/weibull.html | 2 +- .../_modules/torch/distributions/wishart.html | 2 +- docs/main/_modules/torch/func.html | 2 +- docs/main/_modules/torch/functional.html | 2 +- docs/main/_modules/torch/futures.html | 2 +- .../_modules/torch/fx/_symbolic_trace.html | 2 +- docs/main/_modules/torch/fx/graph.html | 2 +- docs/main/_modules/torch/fx/graph_module.html | 2 +- docs/main/_modules/torch/fx/interpreter.html | 2 +- docs/main/_modules/torch/fx/node.html | 2 +- docs/main/_modules/torch/fx/proxy.html | 2 +- .../_modules/torch/fx/subgraph_rewriter.html | 2 +- docs/main/_modules/torch/hub.html | 2 +- docs/main/_modules/torch/jit.html | 2 +- docs/main/_modules/torch/jit/_async.html | 2 +- docs/main/_modules/torch/jit/_freeze.html | 2 +- docs/main/_modules/torch/jit/_fuser.html | 2 +- docs/main/_modules/torch/jit/_script.html | 10 +- .../_modules/torch/jit/_serialization.html | 2 +- docs/main/_modules/torch/jit/_trace.html | 8 +- docs/main/_modules/torch/library.html | 2 +- docs/main/_modules/torch/monitor.html | 2 +- docs/main/_modules/torch/mps.html | 2 +- docs/main/_modules/torch/mps/event.html | 2 +- docs/main/_modules/torch/mps/profiler.html | 2 +- docs/main/_modules/torch/multiprocessing.html | 2 +- .../_modules/torch/multiprocessing/spawn.html | 2 +- docs/main/_modules/torch/nested.html | 2 +- docs/main/_modules/torch/nn/functional.html | 38 ++-- docs/main/_modules/torch/nn/init.html | 11 +- .../_modules/torch/nn/modules/activation.html | 2 +- .../_modules/torch/nn/modules/adaptive.html | 10 +- .../_modules/torch/nn/modules/batchnorm.html | 2 +- .../torch/nn/modules/channelshuffle.html | 2 +- .../_modules/torch/nn/modules/container.html | 8 +- docs/main/_modules/torch/nn/modules/conv.html | 9 +- .../_modules/torch/nn/modules/distance.html | 2 +- .../_modules/torch/nn/modules/dropout.html | 2 +- .../_modules/torch/nn/modules/flatten.html | 2 +- docs/main/_modules/torch/nn/modules/fold.html | 2 +- .../torch/nn/modules/instancenorm.html | 2 +- docs/main/_modules/torch/nn/modules/lazy.html | 2 +- .../_modules/torch/nn/modules/linear.html | 2 +- docs/main/_modules/torch/nn/modules/loss.html | 2 +- .../_modules/torch/nn/modules/module.html | 50 ++--- .../torch/nn/modules/normalization.html | 2 +- .../_modules/torch/nn/modules/padding.html | 2 +- .../torch/nn/modules/pixelshuffle.html | 2 +- .../_modules/torch/nn/modules/pooling.html | 2 +- docs/main/_modules/torch/nn/modules/rnn.html | 6 +- .../_modules/torch/nn/modules/sparse.html | 2 +- .../torch/nn/modules/transformer.html | 2 +- .../_modules/torch/nn/modules/upsampling.html | 2 +- .../main/_modules/torch/nn/parallel/comm.html | 2 +- .../torch/nn/parallel/data_parallel.html | 10 +- .../torch/nn/parallel/distributed.html | 6 +- docs/main/_modules/torch/nn/parameter.html | 8 +- .../_modules/torch/nn/utils/clip_grad.html | 2 +- .../torch/nn/utils/convert_parameters.html | 2 +- docs/main/_modules/torch/nn/utils/init.html | 2 +- .../torch/nn/utils/parametrizations.html | 4 +- .../_modules/torch/nn/utils/parametrize.html | 2 +- docs/main/_modules/torch/nn/utils/prune.html | 12 +- docs/main/_modules/torch/nn/utils/rnn.html | 6 +- .../torch/nn/utils/spectral_norm.html | 4 +- .../_modules/torch/nn/utils/stateless.html | 2 +- .../_modules/torch/nn/utils/weight_norm.html | 2 +- docs/main/_modules/torch/onnx.html | 2 +- .../_internal/diagnostics/_diagnostic.html | 2 +- .../torch/onnx/_internal/exporter.html | 2 +- .../main/_modules/torch/onnx/_type_utils.html | 2 +- docs/main/_modules/torch/onnx/utils.html | 2 +- .../_modules/torch/onnx/verification.html | 2 +- docs/main/_modules/torch/optim/adadelta.html | 2 +- docs/main/_modules/torch/optim/adagrad.html | 2 +- docs/main/_modules/torch/optim/adam.html | 2 +- docs/main/_modules/torch/optim/adamax.html | 2 +- docs/main/_modules/torch/optim/adamw.html | 2 +- docs/main/_modules/torch/optim/asgd.html | 2 +- docs/main/_modules/torch/optim/lbfgs.html | 2 +- .../_modules/torch/optim/lr_scheduler.html | 10 +- docs/main/_modules/torch/optim/nadam.html | 2 +- docs/main/_modules/torch/optim/optimizer.html | 2 +- docs/main/_modules/torch/optim/radam.html | 2 +- docs/main/_modules/torch/optim/rmsprop.html | 2 +- docs/main/_modules/torch/optim/rprop.html | 2 +- docs/main/_modules/torch/optim/sgd.html | 2 +- .../_modules/torch/optim/sparse_adam.html | 2 +- docs/main/_modules/torch/overrides.html | 8 +- .../file_structure_representation.html | 2 +- .../torch/package/package_exporter.html | 2 +- .../torch/package/package_importer.html | 2 +- docs/main/_modules/torch/profiler/itt.html | 2 +- .../_modules/torch/profiler/profiler.html | 2 +- docs/main/_modules/torch/quasirandom.html | 8 +- docs/main/_modules/torch/random.html | 2 +- docs/main/_modules/torch/serialization.html | 8 +- .../torch/signal/windows/windows.html | 2 +- docs/main/_modules/torch/sparse.html | 2 +- docs/main/_modules/torch/storage.html | 2 +- .../_modules/torch/testing/_comparison.html | 2 +- .../_modules/torch/testing/_creation.html | 2 +- docs/main/_modules/torch/utils.html | 2 +- .../torch/utils/backend_registration.html | 2 +- .../torch/utils/benchmark/utils/common.html | 2 +- .../torch/utils/benchmark/utils/timer.html | 2 +- .../valgrind_wrapper/timer_interface.html | 2 +- .../main/_modules/torch/utils/checkpoint.html | 2 +- .../_modules/torch/utils/cpp_backtrace.html | 2 +- .../_modules/torch/utils/cpp_extension.html | 8 +- .../torch/utils/data/_utils/collate.html | 2 +- .../torch/utils/data/_utils/worker.html | 2 +- .../_modules/torch/utils/data/dataloader.html | 22 +-- .../_modules/torch/utils/data/dataset.html | 2 +- .../torch/utils/data/distributed.html | 2 +- .../_modules/torch/utils/data/sampler.html | 4 +- docs/main/_modules/torch/utils/dlpack.html | 2 +- .../torch/utils/mobile_optimizer.html | 6 +- .../torch/utils/tensorboard/writer.html | 2 +- docs/main/_modules/typing.html | 2 +- .../_sources/generated/exportdb/index.rst.txt | 18 +- .../generated/exportdb/python.assert.rst.txt | 2 +- .../exportdb/python.control-flow.rst.txt | 2 +- .../exportdb/python.data-structure.rst.txt | 2 +- .../generated/exportdb/torch.cond.rst.txt | 10 +- .../exportdb/torch.dynamic-shape.rst.txt | 16 +- .../generated/exportdb/torch.map.rst.txt | 2 +- docs/main/amp.html | 2 +- docs/main/autograd.html | 2 +- docs/main/backends.html | 2 +- docs/main/benchmark_utils.html | 2 +- docs/main/bottleneck.html | 2 +- docs/main/checkpoint.html | 2 +- docs/main/community/build_ci_governance.html | 2 +- docs/main/community/contribution_guide.html | 2 +- docs/main/community/design.html | 2 +- docs/main/community/governance.html | 2 +- docs/main/community/persons_of_interest.html | 2 +- docs/main/complex_numbers.html | 2 +- docs/main/config_mod.html | 2 +- docs/main/cpp_extension.html | 2 +- docs/main/cpp_index.html | 2 +- docs/main/cpu.html | 2 +- docs/main/cuda._sanitizer.html | 2 +- docs/main/cuda.html | 2 +- docs/main/cudnn_persistent_rnn.html | 2 +- docs/main/cudnn_rnn_determinism.html | 2 +- docs/main/data.html | 2 +- docs/main/ddp_comm_hooks.html | 2 +- docs/main/deploy.html | 2 +- docs/main/distributed.algorithms.join.html | 2 +- docs/main/distributed.checkpoint.html | 2 +- docs/main/distributed.elastic.html | 2 +- docs/main/distributed.html | 2 +- docs/main/distributed.optim.html | 2 +- docs/main/distributed.tensor.parallel.html | 2 +- docs/main/distributions.html | 2 +- docs/main/dlpack.html | 2 +- docs/main/elastic/agent.html | 2 +- docs/main/elastic/customization.html | 2 +- docs/main/elastic/errors.html | 2 +- docs/main/elastic/events.html | 2 +- docs/main/elastic/examples.html | 2 +- docs/main/elastic/kubernetes.html | 2 +- docs/main/elastic/metrics.html | 2 +- docs/main/elastic/multiprocessing.html | 2 +- docs/main/elastic/quickstart.html | 2 +- docs/main/elastic/rendezvous.html | 2 +- docs/main/elastic/run.html | 2 +- docs/main/elastic/timer.html | 2 +- docs/main/elastic/train_script.html | 2 +- docs/main/export.html | 2 +- docs/main/fft.html | 2 +- docs/main/fsdp.html | 2 +- docs/main/func.api.html | 2 +- docs/main/func.batch_norm.html | 2 +- docs/main/func.html | 2 +- docs/main/func.migrating.html | 2 +- docs/main/func.ux_limitations.html | 2 +- docs/main/func.whirlwind_tour.html | 2 +- docs/main/futures.html | 2 +- docs/main/fx.html | 2 +- docs/main/generated/exportdb/index.html | 20 +- .../generated/exportdb/python.assert.html | 4 +- .../generated/exportdb/python.builtin.html | 2 +- .../generated/exportdb/python.closure.html | 6 +- .../exportdb/python.context-manager.html | 2 +- .../exportdb/python.control-flow.html | 4 +- .../exportdb/python.data-structure.html | 4 +- docs/main/generated/exportdb/torch.cond.html | 20 +- .../exportdb/torch.dynamic-shape.html | 26 +-- .../exportdb/torch.escape-hatch.html | 6 +- docs/main/generated/exportdb/torch.map.html | 4 +- .../DIAGSYS0001:arg-format-too-verbose.html | 2 +- .../FXE0001:fx-tracer-success.html | 2 +- .../FXE0002:fx-tracer-failure.html | 2 +- .../FXE0003:fx-frontend-aotautograd.html | 2 +- ...XE0004:fx-pass-convert-neg-to-sigmoid.html | 2 +- .../FXE0005:fx-ir-add-node.html | 2 +- .../FXE0006:atenlib-symbolic-function.html | 2 +- .../FXE0007:atenlib-fx-to-onnx.html | 2 +- .../FXE0008:fx-node-to-onnx.html | 2 +- .../FXE0009:fx-frontend-dynamo-make-fx.html | 2 +- .../FXE0010:fx-pass.html | 2 +- ...o-symbolic-function-for-call-function.html | 2 +- .../FXE0012:unsupported-fx-node-analysis.html | 2 +- .../FXE0013:op-level-debugging.html | 2 +- ...nd-opschema-matched-symbolic-function.html | 2 +- ...FXE0015:fx-node-insert-type-promotion.html | 2 +- ...d-operator-overloads-in-onnx-registry.html | 2 +- ...001:node-missing-onnx-shape-inference.html | 2 +- ...0002:missing-custom-symbolic-function.html | 2 +- ...03:missing-standard-symbolic-function.html | 2 +- ...ator-supported-in-newer-opset-version.html | 2 +- docs/main/generated/torch.Generator.html | 2 +- docs/main/generated/torch.Tensor.abs.html | 2 +- docs/main/generated/torch.Tensor.abs_.html | 2 +- .../main/generated/torch.Tensor.absolute.html | 2 +- .../generated/torch.Tensor.absolute_.html | 2 +- docs/main/generated/torch.Tensor.acos.html | 2 +- docs/main/generated/torch.Tensor.acos_.html | 2 +- docs/main/generated/torch.Tensor.acosh.html | 2 +- docs/main/generated/torch.Tensor.acosh_.html | 2 +- docs/main/generated/torch.Tensor.add.html | 2 +- docs/main/generated/torch.Tensor.add_.html | 2 +- docs/main/generated/torch.Tensor.addbmm.html | 2 +- docs/main/generated/torch.Tensor.addbmm_.html | 2 +- docs/main/generated/torch.Tensor.addcdiv.html | 2 +- .../main/generated/torch.Tensor.addcdiv_.html | 2 +- docs/main/generated/torch.Tensor.addcmul.html | 2 +- .../main/generated/torch.Tensor.addcmul_.html | 2 +- docs/main/generated/torch.Tensor.addmm.html | 2 +- docs/main/generated/torch.Tensor.addmm_.html | 2 +- docs/main/generated/torch.Tensor.addmv.html | 2 +- docs/main/generated/torch.Tensor.addmv_.html | 2 +- docs/main/generated/torch.Tensor.addr.html | 2 +- docs/main/generated/torch.Tensor.addr_.html | 2 +- docs/main/generated/torch.Tensor.adjoint.html | 2 +- docs/main/generated/torch.Tensor.all.html | 2 +- .../main/generated/torch.Tensor.allclose.html | 2 +- docs/main/generated/torch.Tensor.amax.html | 2 +- docs/main/generated/torch.Tensor.amin.html | 2 +- docs/main/generated/torch.Tensor.aminmax.html | 2 +- docs/main/generated/torch.Tensor.angle.html | 2 +- docs/main/generated/torch.Tensor.any.html | 2 +- docs/main/generated/torch.Tensor.apply_.html | 2 +- docs/main/generated/torch.Tensor.arccos.html | 2 +- docs/main/generated/torch.Tensor.arccos_.html | 2 +- docs/main/generated/torch.Tensor.arccosh.html | 2 +- .../main/generated/torch.Tensor.arccosh_.html | 2 +- docs/main/generated/torch.Tensor.arcsin.html | 2 +- docs/main/generated/torch.Tensor.arcsin_.html | 2 +- docs/main/generated/torch.Tensor.arcsinh.html | 2 +- .../main/generated/torch.Tensor.arcsinh_.html | 2 +- docs/main/generated/torch.Tensor.arctan.html | 2 +- docs/main/generated/torch.Tensor.arctan2.html | 2 +- .../main/generated/torch.Tensor.arctan2_.html | 2 +- docs/main/generated/torch.Tensor.arctan_.html | 2 +- docs/main/generated/torch.Tensor.arctanh.html | 2 +- .../main/generated/torch.Tensor.arctanh_.html | 2 +- docs/main/generated/torch.Tensor.argmax.html | 2 +- docs/main/generated/torch.Tensor.argmin.html | 2 +- docs/main/generated/torch.Tensor.argsort.html | 2 +- .../main/generated/torch.Tensor.argwhere.html | 2 +- .../generated/torch.Tensor.as_strided.html | 2 +- .../generated/torch.Tensor.as_subclass.html | 2 +- docs/main/generated/torch.Tensor.asin.html | 2 +- docs/main/generated/torch.Tensor.asin_.html | 2 +- docs/main/generated/torch.Tensor.asinh.html | 2 +- docs/main/generated/torch.Tensor.asinh_.html | 2 +- docs/main/generated/torch.Tensor.atan.html | 2 +- docs/main/generated/torch.Tensor.atan2.html | 2 +- docs/main/generated/torch.Tensor.atan2_.html | 2 +- docs/main/generated/torch.Tensor.atan_.html | 2 +- docs/main/generated/torch.Tensor.atanh.html | 2 +- docs/main/generated/torch.Tensor.atanh_.html | 2 +- .../main/generated/torch.Tensor.backward.html | 2 +- docs/main/generated/torch.Tensor.baddbmm.html | 2 +- .../main/generated/torch.Tensor.baddbmm_.html | 2 +- .../generated/torch.Tensor.bernoulli.html | 2 +- .../generated/torch.Tensor.bernoulli_.html | 2 +- .../main/generated/torch.Tensor.bfloat16.html | 2 +- .../main/generated/torch.Tensor.bincount.html | 2 +- .../generated/torch.Tensor.bitwise_and.html | 2 +- .../generated/torch.Tensor.bitwise_and_.html | 2 +- .../torch.Tensor.bitwise_left_shift.html | 2 +- .../torch.Tensor.bitwise_left_shift_.html | 2 +- .../generated/torch.Tensor.bitwise_not.html | 2 +- .../generated/torch.Tensor.bitwise_not_.html | 2 +- .../generated/torch.Tensor.bitwise_or.html | 2 +- .../generated/torch.Tensor.bitwise_or_.html | 2 +- .../torch.Tensor.bitwise_right_shift.html | 2 +- .../torch.Tensor.bitwise_right_shift_.html | 2 +- .../generated/torch.Tensor.bitwise_xor.html | 2 +- .../generated/torch.Tensor.bitwise_xor_.html | 2 +- docs/main/generated/torch.Tensor.bmm.html | 2 +- docs/main/generated/torch.Tensor.bool.html | 2 +- .../generated/torch.Tensor.broadcast_to.html | 2 +- docs/main/generated/torch.Tensor.byte.html | 2 +- docs/main/generated/torch.Tensor.cauchy_.html | 2 +- .../generated/torch.Tensor.ccol_indices.html | 2 +- docs/main/generated/torch.Tensor.cdouble.html | 2 +- docs/main/generated/torch.Tensor.ceil.html | 2 +- docs/main/generated/torch.Tensor.ceil_.html | 2 +- docs/main/generated/torch.Tensor.cfloat.html | 2 +- docs/main/generated/torch.Tensor.chalf.html | 2 +- docs/main/generated/torch.Tensor.char.html | 2 +- .../main/generated/torch.Tensor.cholesky.html | 2 +- .../torch.Tensor.cholesky_inverse.html | 2 +- .../torch.Tensor.cholesky_solve.html | 2 +- docs/main/generated/torch.Tensor.chunk.html | 2 +- docs/main/generated/torch.Tensor.clamp.html | 2 +- docs/main/generated/torch.Tensor.clamp_.html | 2 +- docs/main/generated/torch.Tensor.clip.html | 2 +- docs/main/generated/torch.Tensor.clip_.html | 2 +- docs/main/generated/torch.Tensor.clone.html | 2 +- .../main/generated/torch.Tensor.coalesce.html | 2 +- .../generated/torch.Tensor.col_indices.html | 2 +- docs/main/generated/torch.Tensor.conj.html | 2 +- .../generated/torch.Tensor.conj_physical.html | 2 +- .../torch.Tensor.conj_physical_.html | 2 +- .../generated/torch.Tensor.contiguous.html | 2 +- docs/main/generated/torch.Tensor.copy_.html | 2 +- .../main/generated/torch.Tensor.copysign.html | 2 +- .../generated/torch.Tensor.copysign_.html | 2 +- .../main/generated/torch.Tensor.corrcoef.html | 2 +- docs/main/generated/torch.Tensor.cos.html | 2 +- docs/main/generated/torch.Tensor.cos_.html | 2 +- docs/main/generated/torch.Tensor.cosh.html | 2 +- docs/main/generated/torch.Tensor.cosh_.html | 2 +- .../generated/torch.Tensor.count_nonzero.html | 2 +- docs/main/generated/torch.Tensor.cov.html | 2 +- docs/main/generated/torch.Tensor.cpu.html | 2 +- docs/main/generated/torch.Tensor.cross.html | 2 +- .../generated/torch.Tensor.crow_indices.html | 2 +- docs/main/generated/torch.Tensor.cuda.html | 2 +- docs/main/generated/torch.Tensor.cummax.html | 2 +- docs/main/generated/torch.Tensor.cummin.html | 2 +- docs/main/generated/torch.Tensor.cumprod.html | 2 +- .../main/generated/torch.Tensor.cumprod_.html | 2 +- docs/main/generated/torch.Tensor.cumsum.html | 2 +- docs/main/generated/torch.Tensor.cumsum_.html | 2 +- .../main/generated/torch.Tensor.data_ptr.html | 2 +- docs/main/generated/torch.Tensor.deg2rad.html | 2 +- .../generated/torch.Tensor.dense_dim.html | 2 +- .../generated/torch.Tensor.dequantize.html | 2 +- docs/main/generated/torch.Tensor.det.html | 2 +- docs/main/generated/torch.Tensor.detach.html | 2 +- docs/main/generated/torch.Tensor.detach_.html | 2 +- docs/main/generated/torch.Tensor.device.html | 2 +- docs/main/generated/torch.Tensor.diag.html | 2 +- .../generated/torch.Tensor.diag_embed.html | 2 +- .../main/generated/torch.Tensor.diagflat.html | 2 +- .../main/generated/torch.Tensor.diagonal.html | 2 +- .../torch.Tensor.diagonal_scatter.html | 2 +- docs/main/generated/torch.Tensor.diff.html | 2 +- docs/main/generated/torch.Tensor.digamma.html | 2 +- .../main/generated/torch.Tensor.digamma_.html | 2 +- docs/main/generated/torch.Tensor.dim.html | 2 +- docs/main/generated/torch.Tensor.dist.html | 2 +- docs/main/generated/torch.Tensor.div.html | 2 +- docs/main/generated/torch.Tensor.div_.html | 2 +- docs/main/generated/torch.Tensor.divide.html | 2 +- docs/main/generated/torch.Tensor.divide_.html | 2 +- docs/main/generated/torch.Tensor.dot.html | 2 +- docs/main/generated/torch.Tensor.double.html | 2 +- docs/main/generated/torch.Tensor.dsplit.html | 2 +- .../generated/torch.Tensor.element_size.html | 2 +- docs/main/generated/torch.Tensor.eq.html | 2 +- docs/main/generated/torch.Tensor.eq_.html | 2 +- docs/main/generated/torch.Tensor.equal.html | 2 +- docs/main/generated/torch.Tensor.erf.html | 2 +- docs/main/generated/torch.Tensor.erf_.html | 2 +- docs/main/generated/torch.Tensor.erfc.html | 2 +- docs/main/generated/torch.Tensor.erfc_.html | 2 +- docs/main/generated/torch.Tensor.erfinv.html | 2 +- docs/main/generated/torch.Tensor.erfinv_.html | 2 +- docs/main/generated/torch.Tensor.exp.html | 2 +- docs/main/generated/torch.Tensor.exp_.html | 2 +- docs/main/generated/torch.Tensor.expand.html | 2 +- .../generated/torch.Tensor.expand_as.html | 2 +- docs/main/generated/torch.Tensor.expm1.html | 2 +- docs/main/generated/torch.Tensor.expm1_.html | 2 +- .../generated/torch.Tensor.exponential_.html | 2 +- docs/main/generated/torch.Tensor.fill_.html | 2 +- .../torch.Tensor.fill_diagonal_.html | 2 +- docs/main/generated/torch.Tensor.fix.html | 2 +- docs/main/generated/torch.Tensor.fix_.html | 2 +- docs/main/generated/torch.Tensor.flatten.html | 2 +- docs/main/generated/torch.Tensor.flip.html | 2 +- docs/main/generated/torch.Tensor.fliplr.html | 2 +- docs/main/generated/torch.Tensor.flipud.html | 2 +- docs/main/generated/torch.Tensor.float.html | 2 +- .../generated/torch.Tensor.float_power.html | 2 +- .../generated/torch.Tensor.float_power_.html | 2 +- docs/main/generated/torch.Tensor.floor.html | 2 +- docs/main/generated/torch.Tensor.floor_.html | 2 +- .../generated/torch.Tensor.floor_divide.html | 2 +- .../generated/torch.Tensor.floor_divide_.html | 2 +- docs/main/generated/torch.Tensor.fmax.html | 2 +- docs/main/generated/torch.Tensor.fmin.html | 2 +- docs/main/generated/torch.Tensor.fmod.html | 2 +- docs/main/generated/torch.Tensor.fmod_.html | 2 +- docs/main/generated/torch.Tensor.frac.html | 2 +- docs/main/generated/torch.Tensor.frac_.html | 2 +- docs/main/generated/torch.Tensor.frexp.html | 2 +- docs/main/generated/torch.Tensor.gather.html | 2 +- docs/main/generated/torch.Tensor.gcd.html | 2 +- docs/main/generated/torch.Tensor.gcd_.html | 2 +- docs/main/generated/torch.Tensor.ge.html | 2 +- docs/main/generated/torch.Tensor.ge_.html | 2 +- .../generated/torch.Tensor.geometric_.html | 2 +- docs/main/generated/torch.Tensor.geqrf.html | 2 +- docs/main/generated/torch.Tensor.ger.html | 2 +- .../generated/torch.Tensor.get_device.html | 2 +- docs/main/generated/torch.Tensor.grad.html | 2 +- docs/main/generated/torch.Tensor.greater.html | 2 +- .../main/generated/torch.Tensor.greater_.html | 2 +- .../generated/torch.Tensor.greater_equal.html | 2 +- .../torch.Tensor.greater_equal_.html | 2 +- docs/main/generated/torch.Tensor.gt.html | 2 +- docs/main/generated/torch.Tensor.gt_.html | 2 +- docs/main/generated/torch.Tensor.half.html | 2 +- .../generated/torch.Tensor.hardshrink.html | 2 +- .../generated/torch.Tensor.heaviside.html | 2 +- docs/main/generated/torch.Tensor.histc.html | 2 +- .../generated/torch.Tensor.histogram.html | 2 +- docs/main/generated/torch.Tensor.hsplit.html | 2 +- docs/main/generated/torch.Tensor.hypot.html | 2 +- docs/main/generated/torch.Tensor.hypot_.html | 2 +- docs/main/generated/torch.Tensor.i0.html | 2 +- docs/main/generated/torch.Tensor.i0_.html | 2 +- docs/main/generated/torch.Tensor.igamma.html | 2 +- docs/main/generated/torch.Tensor.igamma_.html | 2 +- docs/main/generated/torch.Tensor.igammac.html | 2 +- .../main/generated/torch.Tensor.igammac_.html | 2 +- docs/main/generated/torch.Tensor.imag.html | 2 +- .../generated/torch.Tensor.index_add.html | 2 +- .../generated/torch.Tensor.index_add_.html | 2 +- .../generated/torch.Tensor.index_copy.html | 2 +- .../generated/torch.Tensor.index_copy_.html | 2 +- .../generated/torch.Tensor.index_fill.html | 2 +- .../generated/torch.Tensor.index_fill_.html | 2 +- .../generated/torch.Tensor.index_put.html | 2 +- .../generated/torch.Tensor.index_put_.html | 2 +- .../generated/torch.Tensor.index_reduce.html | 2 +- .../generated/torch.Tensor.index_reduce_.html | 2 +- .../generated/torch.Tensor.index_select.html | 2 +- docs/main/generated/torch.Tensor.indices.html | 2 +- docs/main/generated/torch.Tensor.inner.html | 2 +- docs/main/generated/torch.Tensor.int.html | 2 +- .../main/generated/torch.Tensor.int_repr.html | 2 +- docs/main/generated/torch.Tensor.inverse.html | 2 +- .../generated/torch.Tensor.is_coalesced.html | 2 +- .../generated/torch.Tensor.is_complex.html | 2 +- docs/main/generated/torch.Tensor.is_conj.html | 2 +- .../generated/torch.Tensor.is_contiguous.html | 2 +- docs/main/generated/torch.Tensor.is_cuda.html | 2 +- .../torch.Tensor.is_floating_point.html | 2 +- .../generated/torch.Tensor.is_inference.html | 2 +- docs/main/generated/torch.Tensor.is_leaf.html | 2 +- docs/main/generated/torch.Tensor.is_meta.html | 2 +- .../generated/torch.Tensor.is_pinned.html | 2 +- .../generated/torch.Tensor.is_quantized.html | 2 +- .../generated/torch.Tensor.is_set_to.html | 2 +- .../generated/torch.Tensor.is_shared.html | 2 +- .../generated/torch.Tensor.is_signed.html | 2 +- .../generated/torch.Tensor.is_sparse.html | 2 +- .../generated/torch.Tensor.is_sparse_csr.html | 2 +- docs/main/generated/torch.Tensor.isclose.html | 2 +- .../main/generated/torch.Tensor.isfinite.html | 2 +- docs/main/generated/torch.Tensor.isinf.html | 2 +- docs/main/generated/torch.Tensor.isnan.html | 2 +- .../main/generated/torch.Tensor.isneginf.html | 2 +- .../main/generated/torch.Tensor.isposinf.html | 2 +- docs/main/generated/torch.Tensor.isreal.html | 2 +- docs/main/generated/torch.Tensor.istft.html | 2 +- docs/main/generated/torch.Tensor.item.html | 2 +- .../main/generated/torch.Tensor.itemsize.html | 2 +- .../main/generated/torch.Tensor.kthvalue.html | 2 +- docs/main/generated/torch.Tensor.lcm.html | 2 +- docs/main/generated/torch.Tensor.lcm_.html | 2 +- docs/main/generated/torch.Tensor.ldexp.html | 2 +- docs/main/generated/torch.Tensor.ldexp_.html | 2 +- docs/main/generated/torch.Tensor.le.html | 2 +- docs/main/generated/torch.Tensor.le_.html | 2 +- docs/main/generated/torch.Tensor.lerp.html | 2 +- docs/main/generated/torch.Tensor.lerp_.html | 2 +- docs/main/generated/torch.Tensor.less.html | 2 +- docs/main/generated/torch.Tensor.less_.html | 2 +- .../generated/torch.Tensor.less_equal.html | 2 +- .../generated/torch.Tensor.less_equal_.html | 2 +- docs/main/generated/torch.Tensor.lgamma.html | 2 +- docs/main/generated/torch.Tensor.lgamma_.html | 2 +- docs/main/generated/torch.Tensor.log.html | 2 +- docs/main/generated/torch.Tensor.log10.html | 2 +- docs/main/generated/torch.Tensor.log10_.html | 2 +- docs/main/generated/torch.Tensor.log1p.html | 2 +- docs/main/generated/torch.Tensor.log1p_.html | 2 +- docs/main/generated/torch.Tensor.log2.html | 2 +- docs/main/generated/torch.Tensor.log2_.html | 2 +- docs/main/generated/torch.Tensor.log_.html | 2 +- .../generated/torch.Tensor.log_normal_.html | 2 +- .../generated/torch.Tensor.logaddexp.html | 2 +- .../generated/torch.Tensor.logaddexp2.html | 2 +- .../generated/torch.Tensor.logcumsumexp.html | 2 +- docs/main/generated/torch.Tensor.logdet.html | 2 +- .../generated/torch.Tensor.logical_and.html | 2 +- .../generated/torch.Tensor.logical_and_.html | 2 +- .../generated/torch.Tensor.logical_not.html | 2 +- .../generated/torch.Tensor.logical_not_.html | 2 +- .../generated/torch.Tensor.logical_or.html | 2 +- .../generated/torch.Tensor.logical_or_.html | 2 +- .../generated/torch.Tensor.logical_xor.html | 2 +- .../generated/torch.Tensor.logical_xor_.html | 2 +- docs/main/generated/torch.Tensor.logit.html | 2 +- docs/main/generated/torch.Tensor.logit_.html | 2 +- .../generated/torch.Tensor.logsumexp.html | 2 +- docs/main/generated/torch.Tensor.long.html | 2 +- docs/main/generated/torch.Tensor.lt.html | 2 +- docs/main/generated/torch.Tensor.lt_.html | 2 +- docs/main/generated/torch.Tensor.lu.html | 2 +- .../main/generated/torch.Tensor.lu_solve.html | 2 +- docs/main/generated/torch.Tensor.map_.html | 2 +- .../generated/torch.Tensor.masked_fill.html | 2 +- .../generated/torch.Tensor.masked_fill_.html | 2 +- .../torch.Tensor.masked_scatter.html | 2 +- .../torch.Tensor.masked_scatter_.html | 2 +- .../generated/torch.Tensor.masked_select.html | 2 +- docs/main/generated/torch.Tensor.matmul.html | 2 +- .../generated/torch.Tensor.matrix_exp.html | 2 +- .../generated/torch.Tensor.matrix_power.html | 2 +- docs/main/generated/torch.Tensor.max.html | 2 +- docs/main/generated/torch.Tensor.maximum.html | 2 +- docs/main/generated/torch.Tensor.mean.html | 2 +- docs/main/generated/torch.Tensor.median.html | 2 +- docs/main/generated/torch.Tensor.min.html | 2 +- docs/main/generated/torch.Tensor.minimum.html | 2 +- docs/main/generated/torch.Tensor.mm.html | 2 +- docs/main/generated/torch.Tensor.mode.html | 2 +- .../main/generated/torch.Tensor.moveaxis.html | 2 +- docs/main/generated/torch.Tensor.movedim.html | 2 +- docs/main/generated/torch.Tensor.msort.html | 2 +- docs/main/generated/torch.Tensor.mul.html | 2 +- docs/main/generated/torch.Tensor.mul_.html | 2 +- .../generated/torch.Tensor.multinomial.html | 2 +- .../main/generated/torch.Tensor.multiply.html | 2 +- .../generated/torch.Tensor.multiply_.html | 2 +- docs/main/generated/torch.Tensor.mv.html | 2 +- .../main/generated/torch.Tensor.mvlgamma.html | 2 +- .../generated/torch.Tensor.mvlgamma_.html | 2 +- .../generated/torch.Tensor.nan_to_num.html | 2 +- .../generated/torch.Tensor.nan_to_num_.html | 2 +- docs/main/generated/torch.Tensor.nanmean.html | 2 +- .../generated/torch.Tensor.nanmedian.html | 2 +- .../generated/torch.Tensor.nanquantile.html | 2 +- docs/main/generated/torch.Tensor.nansum.html | 2 +- docs/main/generated/torch.Tensor.narrow.html | 2 +- .../generated/torch.Tensor.narrow_copy.html | 2 +- docs/main/generated/torch.Tensor.nbytes.html | 2 +- docs/main/generated/torch.Tensor.ndim.html | 2 +- .../generated/torch.Tensor.ndimension.html | 2 +- docs/main/generated/torch.Tensor.ne.html | 2 +- docs/main/generated/torch.Tensor.ne_.html | 2 +- docs/main/generated/torch.Tensor.neg.html | 2 +- docs/main/generated/torch.Tensor.neg_.html | 2 +- .../main/generated/torch.Tensor.negative.html | 2 +- .../generated/torch.Tensor.negative_.html | 2 +- .../main/generated/torch.Tensor.nelement.html | 2 +- .../generated/torch.Tensor.new_empty.html | 2 +- .../main/generated/torch.Tensor.new_full.html | 2 +- .../main/generated/torch.Tensor.new_ones.html | 2 +- .../generated/torch.Tensor.new_tensor.html | 2 +- .../generated/torch.Tensor.new_zeros.html | 2 +- .../generated/torch.Tensor.nextafter.html | 2 +- .../generated/torch.Tensor.nextafter_.html | 2 +- docs/main/generated/torch.Tensor.nonzero.html | 2 +- docs/main/generated/torch.Tensor.norm.html | 2 +- docs/main/generated/torch.Tensor.normal_.html | 2 +- .../generated/torch.Tensor.not_equal.html | 2 +- .../generated/torch.Tensor.not_equal_.html | 2 +- docs/main/generated/torch.Tensor.numel.html | 2 +- docs/main/generated/torch.Tensor.numpy.html | 2 +- docs/main/generated/torch.Tensor.orgqr.html | 2 +- docs/main/generated/torch.Tensor.ormqr.html | 2 +- docs/main/generated/torch.Tensor.outer.html | 2 +- docs/main/generated/torch.Tensor.permute.html | 2 +- .../generated/torch.Tensor.pin_memory.html | 2 +- .../main/generated/torch.Tensor.pinverse.html | 2 +- .../generated/torch.Tensor.polygamma.html | 2 +- .../generated/torch.Tensor.polygamma_.html | 2 +- .../main/generated/torch.Tensor.positive.html | 2 +- docs/main/generated/torch.Tensor.pow.html | 2 +- docs/main/generated/torch.Tensor.pow_.html | 2 +- docs/main/generated/torch.Tensor.prod.html | 2 +- docs/main/generated/torch.Tensor.put_.html | 2 +- .../torch.Tensor.q_per_channel_axis.html | 2 +- .../torch.Tensor.q_per_channel_scales.html | 2 +- ...orch.Tensor.q_per_channel_zero_points.html | 2 +- docs/main/generated/torch.Tensor.q_scale.html | 2 +- .../generated/torch.Tensor.q_zero_point.html | 2 +- docs/main/generated/torch.Tensor.qr.html | 2 +- docs/main/generated/torch.Tensor.qscheme.html | 2 +- .../main/generated/torch.Tensor.quantile.html | 2 +- docs/main/generated/torch.Tensor.rad2deg.html | 2 +- docs/main/generated/torch.Tensor.random_.html | 2 +- docs/main/generated/torch.Tensor.ravel.html | 2 +- docs/main/generated/torch.Tensor.real.html | 2 +- .../generated/torch.Tensor.reciprocal.html | 2 +- .../generated/torch.Tensor.reciprocal_.html | 2 +- .../generated/torch.Tensor.record_stream.html | 2 +- .../generated/torch.Tensor.register_hook.html | 2 +- .../generated/torch.Tensor.remainder.html | 2 +- .../generated/torch.Tensor.remainder_.html | 2 +- docs/main/generated/torch.Tensor.renorm.html | 2 +- docs/main/generated/torch.Tensor.renorm_.html | 2 +- docs/main/generated/torch.Tensor.repeat.html | 2 +- .../torch.Tensor.repeat_interleave.html | 2 +- .../generated/torch.Tensor.requires_grad.html | 2 +- .../torch.Tensor.requires_grad_.html | 2 +- docs/main/generated/torch.Tensor.reshape.html | 2 +- .../generated/torch.Tensor.reshape_as.html | 2 +- docs/main/generated/torch.Tensor.resize_.html | 2 +- .../generated/torch.Tensor.resize_as_.html | 2 +- .../generated/torch.Tensor.resolve_conj.html | 2 +- .../generated/torch.Tensor.resolve_neg.html | 2 +- .../generated/torch.Tensor.retain_grad.html | 2 +- .../generated/torch.Tensor.retains_grad.html | 2 +- docs/main/generated/torch.Tensor.roll.html | 2 +- docs/main/generated/torch.Tensor.rot90.html | 2 +- docs/main/generated/torch.Tensor.round.html | 2 +- docs/main/generated/torch.Tensor.round_.html | 2 +- .../generated/torch.Tensor.row_indices.html | 2 +- docs/main/generated/torch.Tensor.rsqrt.html | 2 +- docs/main/generated/torch.Tensor.rsqrt_.html | 2 +- docs/main/generated/torch.Tensor.scatter.html | 2 +- .../main/generated/torch.Tensor.scatter_.html | 2 +- .../generated/torch.Tensor.scatter_add.html | 2 +- .../generated/torch.Tensor.scatter_add_.html | 2 +- .../torch.Tensor.scatter_reduce.html | 2 +- .../torch.Tensor.scatter_reduce_.html | 2 +- docs/main/generated/torch.Tensor.select.html | 2 +- .../torch.Tensor.select_scatter.html | 2 +- docs/main/generated/torch.Tensor.set_.html | 2 +- docs/main/generated/torch.Tensor.sgn.html | 2 +- docs/main/generated/torch.Tensor.sgn_.html | 2 +- docs/main/generated/torch.Tensor.shape.html | 2 +- .../generated/torch.Tensor.share_memory_.html | 2 +- docs/main/generated/torch.Tensor.short.html | 2 +- docs/main/generated/torch.Tensor.sigmoid.html | 2 +- .../main/generated/torch.Tensor.sigmoid_.html | 2 +- docs/main/generated/torch.Tensor.sign.html | 2 +- docs/main/generated/torch.Tensor.sign_.html | 2 +- docs/main/generated/torch.Tensor.signbit.html | 2 +- docs/main/generated/torch.Tensor.sin.html | 2 +- docs/main/generated/torch.Tensor.sin_.html | 2 +- docs/main/generated/torch.Tensor.sinc.html | 2 +- docs/main/generated/torch.Tensor.sinc_.html | 2 +- docs/main/generated/torch.Tensor.sinh.html | 2 +- docs/main/generated/torch.Tensor.sinh_.html | 2 +- docs/main/generated/torch.Tensor.size.html | 2 +- .../generated/torch.Tensor.slice_scatter.html | 2 +- docs/main/generated/torch.Tensor.slogdet.html | 2 +- docs/main/generated/torch.Tensor.smm.html | 2 +- docs/main/generated/torch.Tensor.softmax.html | 2 +- docs/main/generated/torch.Tensor.sort.html | 2 +- .../generated/torch.Tensor.sparse_dim.html | 2 +- .../generated/torch.Tensor.sparse_mask.html | 2 +- .../torch.Tensor.sparse_resize_.html | 2 +- ...torch.Tensor.sparse_resize_and_clear_.html | 2 +- docs/main/generated/torch.Tensor.split.html | 2 +- docs/main/generated/torch.Tensor.sqrt.html | 2 +- docs/main/generated/torch.Tensor.sqrt_.html | 2 +- docs/main/generated/torch.Tensor.square.html | 2 +- docs/main/generated/torch.Tensor.square_.html | 2 +- docs/main/generated/torch.Tensor.squeeze.html | 2 +- .../main/generated/torch.Tensor.squeeze_.html | 2 +- .../main/generated/torch.Tensor.sspaddmm.html | 2 +- docs/main/generated/torch.Tensor.std.html | 2 +- docs/main/generated/torch.Tensor.stft.html | 2 +- docs/main/generated/torch.Tensor.storage.html | 2 +- .../torch.Tensor.storage_offset.html | 2 +- .../generated/torch.Tensor.storage_type.html | 2 +- docs/main/generated/torch.Tensor.stride.html | 2 +- docs/main/generated/torch.Tensor.sub.html | 2 +- docs/main/generated/torch.Tensor.sub_.html | 2 +- .../main/generated/torch.Tensor.subtract.html | 2 +- .../generated/torch.Tensor.subtract_.html | 2 +- docs/main/generated/torch.Tensor.sum.html | 2 +- .../generated/torch.Tensor.sum_to_size.html | 2 +- docs/main/generated/torch.Tensor.svd.html | 2 +- .../main/generated/torch.Tensor.swapaxes.html | 2 +- .../main/generated/torch.Tensor.swapdims.html | 2 +- docs/main/generated/torch.Tensor.t.html | 2 +- docs/main/generated/torch.Tensor.t_.html | 2 +- docs/main/generated/torch.Tensor.take.html | 2 +- .../torch.Tensor.take_along_dim.html | 2 +- docs/main/generated/torch.Tensor.tan.html | 2 +- docs/main/generated/torch.Tensor.tan_.html | 2 +- docs/main/generated/torch.Tensor.tanh.html | 2 +- docs/main/generated/torch.Tensor.tanh_.html | 2 +- .../generated/torch.Tensor.tensor_split.html | 2 +- docs/main/generated/torch.Tensor.tile.html | 2 +- docs/main/generated/torch.Tensor.to.html | 2 +- .../main/generated/torch.Tensor.to_dense.html | 2 +- .../generated/torch.Tensor.to_mkldnn.html | 2 +- .../generated/torch.Tensor.to_sparse.html | 2 +- .../generated/torch.Tensor.to_sparse_bsc.html | 2 +- .../generated/torch.Tensor.to_sparse_bsr.html | 2 +- .../generated/torch.Tensor.to_sparse_coo.html | 2 +- .../generated/torch.Tensor.to_sparse_csc.html | 2 +- .../generated/torch.Tensor.to_sparse_csr.html | 2 +- docs/main/generated/torch.Tensor.tolist.html | 2 +- docs/main/generated/torch.Tensor.topk.html | 2 +- docs/main/generated/torch.Tensor.trace.html | 2 +- .../generated/torch.Tensor.transpose.html | 2 +- .../generated/torch.Tensor.transpose_.html | 2 +- .../torch.Tensor.triangular_solve.html | 2 +- docs/main/generated/torch.Tensor.tril.html | 2 +- docs/main/generated/torch.Tensor.tril_.html | 2 +- docs/main/generated/torch.Tensor.triu.html | 2 +- docs/main/generated/torch.Tensor.triu_.html | 2 +- .../generated/torch.Tensor.true_divide.html | 2 +- .../generated/torch.Tensor.true_divide_.html | 2 +- docs/main/generated/torch.Tensor.trunc.html | 2 +- docs/main/generated/torch.Tensor.trunc_.html | 2 +- docs/main/generated/torch.Tensor.type.html | 2 +- docs/main/generated/torch.Tensor.type_as.html | 2 +- docs/main/generated/torch.Tensor.unbind.html | 2 +- .../generated/torch.Tensor.unflatten.html | 2 +- docs/main/generated/torch.Tensor.unfold.html | 2 +- .../main/generated/torch.Tensor.uniform_.html | 2 +- docs/main/generated/torch.Tensor.unique.html | 2 +- .../torch.Tensor.unique_consecutive.html | 2 +- .../generated/torch.Tensor.unsqueeze.html | 2 +- .../generated/torch.Tensor.unsqueeze_.html | 2 +- .../torch.Tensor.untyped_storage.html | 2 +- docs/main/generated/torch.Tensor.values.html | 2 +- docs/main/generated/torch.Tensor.var.html | 2 +- docs/main/generated/torch.Tensor.vdot.html | 2 +- docs/main/generated/torch.Tensor.view.html | 2 +- docs/main/generated/torch.Tensor.view_as.html | 2 +- docs/main/generated/torch.Tensor.vsplit.html | 2 +- docs/main/generated/torch.Tensor.where.html | 2 +- docs/main/generated/torch.Tensor.xlogy.html | 2 +- docs/main/generated/torch.Tensor.xlogy_.html | 2 +- docs/main/generated/torch.Tensor.zero_.html | 2 +- docs/main/generated/torch._assert.html | 2 +- docs/main/generated/torch._foreach_abs.html | 2 +- docs/main/generated/torch._foreach_abs_.html | 2 +- docs/main/generated/torch._foreach_acos.html | 2 +- docs/main/generated/torch._foreach_acos_.html | 2 +- docs/main/generated/torch._foreach_asin.html | 2 +- docs/main/generated/torch._foreach_asin_.html | 2 +- docs/main/generated/torch._foreach_atan.html | 2 +- docs/main/generated/torch._foreach_atan_.html | 2 +- docs/main/generated/torch._foreach_ceil.html | 2 +- docs/main/generated/torch._foreach_ceil_.html | 2 +- docs/main/generated/torch._foreach_cos.html | 2 +- docs/main/generated/torch._foreach_cos_.html | 2 +- docs/main/generated/torch._foreach_cosh.html | 2 +- docs/main/generated/torch._foreach_cosh_.html | 2 +- docs/main/generated/torch._foreach_erf.html | 2 +- docs/main/generated/torch._foreach_erf_.html | 2 +- docs/main/generated/torch._foreach_erfc.html | 2 +- docs/main/generated/torch._foreach_erfc_.html | 2 +- docs/main/generated/torch._foreach_exp.html | 2 +- docs/main/generated/torch._foreach_exp_.html | 2 +- docs/main/generated/torch._foreach_expm1.html | 2 +- .../main/generated/torch._foreach_expm1_.html | 2 +- docs/main/generated/torch._foreach_floor.html | 2 +- .../main/generated/torch._foreach_floor_.html | 2 +- docs/main/generated/torch._foreach_frac.html | 2 +- docs/main/generated/torch._foreach_frac_.html | 2 +- .../main/generated/torch._foreach_lgamma.html | 2 +- .../generated/torch._foreach_lgamma_.html | 2 +- docs/main/generated/torch._foreach_log.html | 2 +- docs/main/generated/torch._foreach_log10.html | 2 +- .../main/generated/torch._foreach_log10_.html | 2 +- docs/main/generated/torch._foreach_log1p.html | 2 +- .../main/generated/torch._foreach_log1p_.html | 2 +- docs/main/generated/torch._foreach_log2.html | 2 +- docs/main/generated/torch._foreach_log2_.html | 2 +- docs/main/generated/torch._foreach_log_.html | 2 +- docs/main/generated/torch._foreach_neg.html | 2 +- docs/main/generated/torch._foreach_neg_.html | 2 +- .../generated/torch._foreach_reciprocal.html | 2 +- .../generated/torch._foreach_reciprocal_.html | 2 +- docs/main/generated/torch._foreach_round.html | 2 +- .../main/generated/torch._foreach_round_.html | 2 +- .../generated/torch._foreach_sigmoid.html | 2 +- .../generated/torch._foreach_sigmoid_.html | 2 +- docs/main/generated/torch._foreach_sin.html | 2 +- docs/main/generated/torch._foreach_sin_.html | 2 +- docs/main/generated/torch._foreach_sinh.html | 2 +- docs/main/generated/torch._foreach_sinh_.html | 2 +- docs/main/generated/torch._foreach_sqrt.html | 2 +- docs/main/generated/torch._foreach_sqrt_.html | 2 +- docs/main/generated/torch._foreach_tan.html | 2 +- docs/main/generated/torch._foreach_tan_.html | 2 +- docs/main/generated/torch._foreach_trunc.html | 2 +- .../main/generated/torch._foreach_trunc_.html | 2 +- docs/main/generated/torch._foreach_zero_.html | 2 +- .../generated/torch._logging.set_logs.html | 2 +- docs/main/generated/torch.abs.html | 2 +- docs/main/generated/torch.absolute.html | 2 +- docs/main/generated/torch.acos.html | 2 +- docs/main/generated/torch.acosh.html | 2 +- docs/main/generated/torch.add.html | 2 +- docs/main/generated/torch.addbmm.html | 2 +- docs/main/generated/torch.addcdiv.html | 2 +- docs/main/generated/torch.addcmul.html | 2 +- docs/main/generated/torch.addmm.html | 2 +- docs/main/generated/torch.addmv.html | 2 +- docs/main/generated/torch.addr.html | 2 +- docs/main/generated/torch.adjoint.html | 2 +- docs/main/generated/torch.all.html | 2 +- docs/main/generated/torch.allclose.html | 2 +- docs/main/generated/torch.amax.html | 2 +- docs/main/generated/torch.amin.html | 2 +- docs/main/generated/torch.aminmax.html | 2 +- docs/main/generated/torch.angle.html | 2 +- docs/main/generated/torch.any.html | 2 +- .../torch.ao.nn.intrinsic.BNReLU2d.html | 2 +- .../torch.ao.nn.intrinsic.BNReLU3d.html | 2 +- .../torch.ao.nn.intrinsic.ConvBn1d.html | 2 +- .../torch.ao.nn.intrinsic.ConvBn2d.html | 2 +- .../torch.ao.nn.intrinsic.ConvBn3d.html | 2 +- .../torch.ao.nn.intrinsic.ConvBnReLU1d.html | 2 +- .../torch.ao.nn.intrinsic.ConvBnReLU2d.html | 2 +- .../torch.ao.nn.intrinsic.ConvBnReLU3d.html | 2 +- .../torch.ao.nn.intrinsic.ConvReLU1d.html | 2 +- .../torch.ao.nn.intrinsic.ConvReLU2d.html | 2 +- .../torch.ao.nn.intrinsic.ConvReLU3d.html | 2 +- .../torch.ao.nn.intrinsic.LinearReLU.html | 2 +- .../torch.ao.nn.intrinsic.qat.ConvBn1d.html | 2 +- .../torch.ao.nn.intrinsic.qat.ConvBn2d.html | 2 +- .../torch.ao.nn.intrinsic.qat.ConvBn3d.html | 2 +- ...orch.ao.nn.intrinsic.qat.ConvBnReLU1d.html | 2 +- ...orch.ao.nn.intrinsic.qat.ConvBnReLU2d.html | 2 +- ...orch.ao.nn.intrinsic.qat.ConvBnReLU3d.html | 2 +- .../torch.ao.nn.intrinsic.qat.ConvReLU2d.html | 2 +- .../torch.ao.nn.intrinsic.qat.ConvReLU3d.html | 2 +- .../torch.ao.nn.intrinsic.qat.LinearReLU.html | 2 +- ...h.ao.nn.intrinsic.qat.freeze_bn_stats.html | 2 +- ...h.ao.nn.intrinsic.qat.update_bn_stats.html | 2 +- ...ch.ao.nn.intrinsic.quantized.BNReLU2d.html | 2 +- ...ch.ao.nn.intrinsic.quantized.BNReLU3d.html | 2 +- ....ao.nn.intrinsic.quantized.ConvReLU1d.html | 2 +- ....ao.nn.intrinsic.quantized.ConvReLU2d.html | 2 +- ....ao.nn.intrinsic.quantized.ConvReLU3d.html | 2 +- ....ao.nn.intrinsic.quantized.LinearReLU.html | 2 +- ...ntrinsic.quantized.dynamic.LinearReLU.html | 2 +- .../generated/torch.ao.nn.qat.Conv2d.html | 2 +- .../generated/torch.ao.nn.qat.Conv3d.html | 2 +- .../generated/torch.ao.nn.qat.Linear.html | 2 +- .../torch.ao.nn.qat.dynamic.Linear.html | 2 +- .../torch.ao.nn.quantizable.LSTM.html | 2 +- ....ao.nn.quantizable.MultiheadAttention.html | 2 +- .../torch.ao.nn.quantized.BatchNorm2d.html | 2 +- .../torch.ao.nn.quantized.BatchNorm3d.html | 2 +- .../torch.ao.nn.quantized.Conv1d.html | 2 +- .../torch.ao.nn.quantized.Conv2d.html | 2 +- .../torch.ao.nn.quantized.Conv3d.html | 2 +- ...torch.ao.nn.quantized.ConvTranspose1d.html | 2 +- ...torch.ao.nn.quantized.ConvTranspose2d.html | 2 +- ...torch.ao.nn.quantized.ConvTranspose3d.html | 2 +- .../generated/torch.ao.nn.quantized.ELU.html | 2 +- .../torch.ao.nn.quantized.Embedding.html | 2 +- .../torch.ao.nn.quantized.EmbeddingBag.html | 2 +- ...rch.ao.nn.quantized.FXFloatFunctional.html | 2 +- ...torch.ao.nn.quantized.FloatFunctional.html | 2 +- .../torch.ao.nn.quantized.GroupNorm.html | 2 +- .../torch.ao.nn.quantized.Hardswish.html | 2 +- .../torch.ao.nn.quantized.InstanceNorm1d.html | 2 +- .../torch.ao.nn.quantized.InstanceNorm2d.html | 2 +- .../torch.ao.nn.quantized.InstanceNorm3d.html | 2 +- .../torch.ao.nn.quantized.LayerNorm.html | 2 +- .../torch.ao.nn.quantized.LeakyReLU.html | 2 +- .../torch.ao.nn.quantized.Linear.html | 2 +- .../torch.ao.nn.quantized.QFunctional.html | 2 +- .../torch.ao.nn.quantized.ReLU6.html | 2 +- .../torch.ao.nn.quantized.Sigmoid.html | 2 +- .../torch.ao.nn.quantized.dynamic.GRU.html | 2 +- ...torch.ao.nn.quantized.dynamic.GRUCell.html | 2 +- .../torch.ao.nn.quantized.dynamic.LSTM.html | 2 +- ...orch.ao.nn.quantized.dynamic.LSTMCell.html | 2 +- .../torch.ao.nn.quantized.dynamic.Linear.html | 2 +- ...torch.ao.nn.quantized.dynamic.RNNCell.html | 2 +- ...ntized.functional.adaptive_avg_pool2d.html | 2 +- ...ntized.functional.adaptive_avg_pool3d.html | 2 +- ...ao.nn.quantized.functional.avg_pool2d.html | 2 +- ...ao.nn.quantized.functional.avg_pool3d.html | 2 +- ...torch.ao.nn.quantized.functional.celu.html | 2 +- ...orch.ao.nn.quantized.functional.clamp.html | 2 +- ...rch.ao.nn.quantized.functional.conv1d.html | 2 +- ...rch.ao.nn.quantized.functional.conv2d.html | 2 +- ...rch.ao.nn.quantized.functional.conv3d.html | 2 +- .../torch.ao.nn.quantized.functional.elu.html | 2 +- ...o.nn.quantized.functional.hardsigmoid.html | 2 +- ....ao.nn.quantized.functional.hardswish.html | 2 +- ...h.ao.nn.quantized.functional.hardtanh.html | 2 +- ...o.nn.quantized.functional.interpolate.html | 2 +- ...ao.nn.quantized.functional.leaky_relu.html | 2 +- ...rch.ao.nn.quantized.functional.linear.html | 2 +- ...ao.nn.quantized.functional.max_pool1d.html | 2 +- ...ao.nn.quantized.functional.max_pool2d.html | 2 +- ....ao.nn.quantized.functional.threshold.html | 2 +- ...h.ao.nn.quantized.functional.upsample.html | 2 +- ...uantized.functional.upsample_bilinear.html | 2 +- ...quantized.functional.upsample_nearest.html | 2 +- .../torch.ao.quantization.DeQuantStub.html | 2 +- .../torch.ao.quantization.QuantStub.html | 2 +- .../torch.ao.quantization.QuantWrapper.html | 2 +- ...rch.ao.quantization.add_quant_dequant.html | 2 +- ...tization.backend_config.BackendConfig.html | 2 +- ...n.backend_config.BackendPatternConfig.html | 2 +- ...antization.backend_config.DTypeConfig.html | 2 +- ...n.backend_config.DTypeWithConstraints.html | 2 +- ...zation.backend_config.ObservationType.html | 2 +- .../torch.ao.quantization.convert.html | 2 +- ...torch.ao.quantization.default_eval_fn.html | 2 +- ...antization.fake_quantize.FakeQuantize.html | 2 +- ...zation.fake_quantize.FakeQuantizeBase.html | 2 +- ...ake_quantize.FixedQParamsFakeQuantize.html | 2 +- ...uantize.FusedMovingAvgObsFakeQuantize.html | 2 +- ...tion.fake_quantize.default_fake_quant.html | 2 +- ...quantize.default_fused_act_fake_quant.html | 2 +- ...fault_fused_per_channel_wt_fake_quant.html | 2 +- ..._quantize.default_fused_wt_fake_quant.html | 2 +- ...quantize.default_histogram_fake_quant.html | 2 +- ...default_per_channel_weight_fake_quant.html | 2 +- ...ke_quantize.default_weight_fake_quant.html | 2 +- ...tion.fake_quantize.disable_fake_quant.html | 2 +- ...zation.fake_quantize.disable_observer.html | 2 +- ...ation.fake_quantize.enable_fake_quant.html | 2 +- ...ization.fake_quantize.enable_observer.html | 2 +- .../torch.ao.quantization.fuse_modules.html | 2 +- ....fx.custom_config.ConvertCustomConfig.html | 2 +- ...ion.fx.custom_config.FuseCustomConfig.html | 2 +- ....fx.custom_config.PrepareCustomConfig.html | 2 +- ...om_config.StandaloneModuleConfigEntry.html | 2 +- ...antization.observer.HistogramObserver.html | 2 +- ....quantization.observer.MinMaxObserver.html | 2 +- ....observer.MovingAverageMinMaxObserver.html | 2 +- ...MovingAveragePerChannelMinMaxObserver.html | 2 +- ...ao.quantization.observer.NoopObserver.html | 2 +- ...ao.quantization.observer.ObserverBase.html | 2 +- ...ion.observer.PerChannelMinMaxObserver.html | 2 +- ...tization.observer.PlaceholderObserver.html | 2 +- ...antization.observer.RecordingObserver.html | 2 +- ...ation.observer.default_debug_observer.html | 2 +- ...server.default_dynamic_quant_observer.html | 2 +- ...server.default_float_qparams_observer.html | 2 +- ...n.observer.default_histogram_observer.html | 2 +- ...uantization.observer.default_observer.html | 2 +- ...r.default_per_channel_weight_observer.html | 2 +- ...observer.default_placeholder_observer.html | 2 +- ...tion.observer.default_weight_observer.html | 2 +- ...tion.observer.get_observer_state_dict.html | 2 +- ...ion.observer.load_observer_state_dict.html | 2 +- .../torch.ao.quantization.prepare.html | 2 +- .../torch.ao.quantization.prepare_qat.html | 2 +- ...ch.ao.quantization.propagate_qconfig_.html | 2 +- ...torch.ao.quantization.qconfig.QConfig.html | 2 +- ...onfig.default_activation_only_qconfig.html | 2 +- ...ization.qconfig.default_debug_qconfig.html | 2 +- ...ation.qconfig.default_dynamic_qconfig.html | 2 +- ...n.qconfig.default_per_channel_qconfig.html | 2 +- ...ntization.qconfig.default_qat_qconfig.html | 2 +- ...zation.qconfig.default_qat_qconfig_v2.html | 2 +- ....quantization.qconfig.default_qconfig.html | 2 +- ...n.qconfig.default_weight_only_qconfig.html | 2 +- ...ation.qconfig.float16_dynamic_qconfig.html | 2 +- ...zation.qconfig.float16_static_qconfig.html | 2 +- ...fig.float_qparams_weight_only_qconfig.html | 2 +- ...n.qconfig.per_channel_dynamic_qconfig.html | 2 +- ...zation.qconfig_mapping.QConfigMapping.html | 2 +- ...pping.get_default_qat_qconfig_mapping.html | 2 +- ...g_mapping.get_default_qconfig_mapping.html | 2 +- .../torch.ao.quantization.quantize.html | 2 +- ...orch.ao.quantization.quantize_dynamic.html | 2 +- ...o.quantization.quantize_fx.convert_fx.html | 2 +- ...h.ao.quantization.quantize_fx.fuse_fx.html | 2 +- ...o.quantization.quantize_fx.prepare_fx.html | 2 +- ...antization.quantize_fx.prepare_qat_fx.html | 2 +- .../torch.ao.quantization.quantize_qat.html | 2 +- .../torch.ao.quantization.swap_module.html | 2 +- docs/main/generated/torch.arange.html | 2 +- docs/main/generated/torch.arccos.html | 2 +- docs/main/generated/torch.arccosh.html | 2 +- docs/main/generated/torch.arcsin.html | 2 +- docs/main/generated/torch.arcsinh.html | 2 +- docs/main/generated/torch.arctan.html | 2 +- docs/main/generated/torch.arctan2.html | 2 +- docs/main/generated/torch.arctanh.html | 2 +- ....are_deterministic_algorithms_enabled.html | 2 +- docs/main/generated/torch.argmax.html | 2 +- docs/main/generated/torch.argmin.html | 2 +- docs/main/generated/torch.argsort.html | 2 +- docs/main/generated/torch.argwhere.html | 2 +- docs/main/generated/torch.as_strided.html | 2 +- docs/main/generated/torch.as_tensor.html | 2 +- docs/main/generated/torch.asarray.html | 2 +- docs/main/generated/torch.asin.html | 2 +- docs/main/generated/torch.asinh.html | 2 +- docs/main/generated/torch.atan.html | 2 +- docs/main/generated/torch.atan2.html | 2 +- docs/main/generated/torch.atanh.html | 2 +- docs/main/generated/torch.atleast_1d.html | 2 +- docs/main/generated/torch.atleast_2d.html | 2 +- docs/main/generated/torch.atleast_3d.html | 2 +- .../torch.autograd.Function.backward.html | 2 +- .../torch.autograd.Function.forward.html | 2 +- .../torch.autograd.Function.jvp.html | 2 +- .../torch.autograd.Function.vmap.html | 2 +- .../generated/torch.autograd.backward.html | 2 +- .../torch.autograd.forward_ad.dual_level.html | 2 +- .../torch.autograd.forward_ad.make_dual.html | 2 +- ...torch.autograd.forward_ad.unpack_dual.html | 2 +- ...ograd.function.FunctionCtx.mark_dirty.html | 2 +- ...n.FunctionCtx.mark_non_differentiable.html | 2 +- ...unction.FunctionCtx.save_for_backward.html | 2 +- ...ion.FunctionCtx.set_materialize_grads.html | 2 +- .../torch.autograd.functional.hessian.html | 2 +- .../torch.autograd.functional.hvp.html | 2 +- .../torch.autograd.functional.jacobian.html | 2 +- .../torch.autograd.functional.jvp.html | 2 +- .../torch.autograd.functional.vhp.html | 2 +- .../torch.autograd.functional.vjp.html | 2 +- docs/main/generated/torch.autograd.grad.html | 2 +- .../generated/torch.autograd.gradcheck.html | 2 +- .../torch.autograd.gradgradcheck.html | 2 +- .../torch.autograd.graph.Node.metadata.html | 2 +- .../torch.autograd.graph.Node.name.html | 2 +- ...ch.autograd.graph.Node.next_functions.html | 2 +- ...rch.autograd.graph.Node.register_hook.html | 2 +- ....autograd.graph.Node.register_prehook.html | 2 +- .../torch.autograd.profiler.load_nvprof.html | 2 +- ....profiler.profile.export_chrome_trace.html | 2 +- ...utograd.profiler.profile.key_averages.html | 2 +- ....profiler.profile.self_cpu_time_total.html | 2 +- ...tograd.profiler.profile.total_average.html | 2 +- docs/main/generated/torch.baddbmm.html | 2 +- .../main/generated/torch.bartlett_window.html | 2 +- docs/main/generated/torch.bernoulli.html | 2 +- docs/main/generated/torch.bincount.html | 2 +- docs/main/generated/torch.bitwise_and.html | 2 +- .../generated/torch.bitwise_left_shift.html | 2 +- docs/main/generated/torch.bitwise_not.html | 2 +- docs/main/generated/torch.bitwise_or.html | 2 +- .../generated/torch.bitwise_right_shift.html | 2 +- docs/main/generated/torch.bitwise_xor.html | 2 +- .../main/generated/torch.blackman_window.html | 2 +- docs/main/generated/torch.block_diag.html | 2 +- docs/main/generated/torch.bmm.html | 2 +- .../generated/torch.broadcast_shapes.html | 2 +- .../generated/torch.broadcast_tensors.html | 2 +- docs/main/generated/torch.broadcast_to.html | 2 +- docs/main/generated/torch.bucketize.html | 2 +- docs/main/generated/torch.can_cast.html | 2 +- docs/main/generated/torch.cartesian_prod.html | 2 +- docs/main/generated/torch.cat.html | 2 +- docs/main/generated/torch.cdist.html | 2 +- docs/main/generated/torch.ceil.html | 2 +- docs/main/generated/torch.chain_matmul.html | 2 +- docs/main/generated/torch.cholesky.html | 2 +- .../generated/torch.cholesky_inverse.html | 2 +- docs/main/generated/torch.cholesky_solve.html | 2 +- docs/main/generated/torch.chunk.html | 2 +- docs/main/generated/torch.clamp.html | 2 +- docs/main/generated/torch.clip.html | 2 +- docs/main/generated/torch.clone.html | 2 +- docs/main/generated/torch.column_stack.html | 2 +- docs/main/generated/torch.combinations.html | 2 +- docs/main/generated/torch.compile.html | 2 +- .../torch.compiled_with_cxx11_abi.html | 2 +- .../torch.compiler.allow_in_graph.html | 2 +- ...torch.compiler.assume_constant_result.html | 2 +- .../generated/torch.compiler.compile.html | 2 +- .../generated/torch.compiler.disable.html | 2 +- .../torch.compiler.list_backends.html | 2 +- docs/main/generated/torch.compiler.reset.html | 2 +- docs/main/generated/torch.complex.html | 2 +- docs/main/generated/torch.concat.html | 2 +- docs/main/generated/torch.concatenate.html | 2 +- docs/main/generated/torch.conj.html | 2 +- docs/main/generated/torch.conj_physical.html | 2 +- docs/main/generated/torch.copysign.html | 2 +- docs/main/generated/torch.corrcoef.html | 2 +- docs/main/generated/torch.cos.html | 2 +- docs/main/generated/torch.cosh.html | 2 +- docs/main/generated/torch.count_nonzero.html | 2 +- docs/main/generated/torch.cov.html | 2 +- docs/main/generated/torch.cpu.Stream.html | 2 +- .../generated/torch.cpu.StreamContext.html | 2 +- .../generated/torch.cpu.current_stream.html | 2 +- .../generated/torch.cpu.device_count.html | 2 +- .../generated/torch.cpu.is_available.html | 2 +- docs/main/generated/torch.cpu.stream.html | 2 +- .../main/generated/torch.cpu.synchronize.html | 2 +- docs/main/generated/torch.cross.html | 2 +- docs/main/generated/torch.cuda.CUDAGraph.html | 2 +- .../torch.cuda.CUDAPluggableAllocator.html | 2 +- docs/main/generated/torch.cuda.Event.html | 2 +- .../generated/torch.cuda.ExternalStream.html | 2 +- .../torch.cuda.OutOfMemoryError.html | 2 +- docs/main/generated/torch.cuda.Stream.html | 2 +- .../generated/torch.cuda.StreamContext.html | 2 +- .../torch.cuda.caching_allocator_alloc.html | 2 +- .../torch.cuda.caching_allocator_delete.html | 2 +- .../torch.cuda.can_device_access_peer.html | 2 +- .../torch.cuda.change_current_allocator.html | 2 +- .../main/generated/torch.cuda.clock_rate.html | 2 +- .../generated/torch.cuda.comm.broadcast.html | 2 +- .../torch.cuda.comm.broadcast_coalesced.html | 2 +- .../generated/torch.cuda.comm.gather.html | 2 +- .../generated/torch.cuda.comm.reduce_add.html | 2 +- .../generated/torch.cuda.comm.scatter.html | 2 +- .../torch.cuda.current_blas_handle.html | 2 +- .../generated/torch.cuda.current_device.html | 2 +- .../generated/torch.cuda.current_stream.html | 2 +- .../generated/torch.cuda.default_stream.html | 2 +- docs/main/generated/torch.cuda.device.html | 2 +- .../generated/torch.cuda.device_count.html | 2 +- docs/main/generated/torch.cuda.device_of.html | 2 +- .../generated/torch.cuda.empty_cache.html | 2 +- .../torch.cuda.get_allocator_backend.html | 2 +- .../generated/torch.cuda.get_arch_list.html | 2 +- .../torch.cuda.get_device_capability.html | 2 +- .../generated/torch.cuda.get_device_name.html | 2 +- .../torch.cuda.get_device_properties.html | 2 +- .../torch.cuda.get_gencode_flags.html | 2 +- .../generated/torch.cuda.get_rng_state.html | 2 +- .../torch.cuda.get_rng_state_all.html | 2 +- .../torch.cuda.get_sync_debug_mode.html | 2 +- docs/main/generated/torch.cuda.graph.html | 2 +- .../torch.cuda.graph_pool_handle.html | 2 +- docs/main/generated/torch.cuda.init.html | 2 +- .../generated/torch.cuda.initial_seed.html | 2 +- .../generated/torch.cuda.ipc_collect.html | 2 +- .../generated/torch.cuda.is_available.html | 2 +- ...orch.cuda.is_current_stream_capturing.html | 2 +- .../generated/torch.cuda.is_initialized.html | 2 +- .../torch.cuda.jiterator._create_jit_fn.html | 2 +- ...jiterator._create_multi_output_jit_fn.html | 2 +- .../torch.cuda.list_gpu_processes.html | 2 +- .../torch.cuda.make_graphed_callables.html | 2 +- .../generated/torch.cuda.manual_seed.html | 2 +- .../generated/torch.cuda.manual_seed_all.html | 2 +- .../torch.cuda.max_memory_allocated.html | 2 +- .../torch.cuda.max_memory_cached.html | 2 +- .../torch.cuda.max_memory_reserved.html | 2 +- .../generated/torch.cuda.mem_get_info.html | 2 +- .../torch.cuda.memory_allocated.html | 2 +- .../generated/torch.cuda.memory_cached.html | 2 +- .../generated/torch.cuda.memory_reserved.html | 2 +- .../generated/torch.cuda.memory_snapshot.html | 2 +- .../generated/torch.cuda.memory_stats.html | 2 +- .../generated/torch.cuda.memory_summary.html | 2 +- .../generated/torch.cuda.memory_usage.html | 2 +- docs/main/generated/torch.cuda.nvtx.mark.html | 2 +- .../generated/torch.cuda.nvtx.range_pop.html | 2 +- .../generated/torch.cuda.nvtx.range_push.html | 2 +- .../main/generated/torch.cuda.power_draw.html | 2 +- ...torch.cuda.reset_max_memory_allocated.html | 2 +- .../torch.cuda.reset_max_memory_cached.html | 2 +- .../torch.cuda.reset_peak_memory_stats.html | 2 +- docs/main/generated/torch.cuda.seed.html | 2 +- docs/main/generated/torch.cuda.seed_all.html | 2 +- .../main/generated/torch.cuda.set_device.html | 2 +- ....cuda.set_per_process_memory_fraction.html | 2 +- .../generated/torch.cuda.set_rng_state.html | 2 +- .../torch.cuda.set_rng_state_all.html | 2 +- .../main/generated/torch.cuda.set_stream.html | 2 +- .../torch.cuda.set_sync_debug_mode.html | 2 +- docs/main/generated/torch.cuda.stream.html | 2 +- .../generated/torch.cuda.synchronize.html | 2 +- .../generated/torch.cuda.temperature.html | 2 +- .../generated/torch.cuda.utilization.html | 2 +- docs/main/generated/torch.cummax.html | 2 +- docs/main/generated/torch.cummin.html | 2 +- docs/main/generated/torch.cumprod.html | 2 +- docs/main/generated/torch.cumsum.html | 2 +- .../generated/torch.cumulative_trapezoid.html | 2 +- docs/main/generated/torch.deg2rad.html | 2 +- docs/main/generated/torch.dequantize.html | 2 +- docs/main/generated/torch.det.html | 2 +- docs/main/generated/torch.diag.html | 2 +- docs/main/generated/torch.diag_embed.html | 2 +- docs/main/generated/torch.diagflat.html | 2 +- docs/main/generated/torch.diagonal.html | 2 +- .../generated/torch.diagonal_scatter.html | 2 +- docs/main/generated/torch.diff.html | 2 +- docs/main/generated/torch.digamma.html | 2 +- docs/main/generated/torch.dist.html | 2 +- docs/main/generated/torch.div.html | 2 +- docs/main/generated/torch.divide.html | 2 +- docs/main/generated/torch.dot.html | 2 +- docs/main/generated/torch.dsplit.html | 2 +- docs/main/generated/torch.dstack.html | 2 +- docs/main/generated/torch.einsum.html | 2 +- docs/main/generated/torch.empty.html | 2 +- docs/main/generated/torch.empty_like.html | 2 +- docs/main/generated/torch.empty_strided.html | 2 +- docs/main/generated/torch.enable_grad.html | 2 +- docs/main/generated/torch.eq.html | 2 +- docs/main/generated/torch.equal.html | 2 +- docs/main/generated/torch.erf.html | 2 +- docs/main/generated/torch.erfc.html | 2 +- docs/main/generated/torch.erfinv.html | 2 +- docs/main/generated/torch.exp.html | 2 +- docs/main/generated/torch.exp2.html | 2 +- docs/main/generated/torch.expm1.html | 2 +- docs/main/generated/torch.eye.html | 2 +- ...orch.fake_quantize_per_channel_affine.html | 2 +- ...torch.fake_quantize_per_tensor_affine.html | 2 +- docs/main/generated/torch.fft.fft.html | 2 +- docs/main/generated/torch.fft.fft2.html | 2 +- docs/main/generated/torch.fft.fftfreq.html | 2 +- docs/main/generated/torch.fft.fftn.html | 2 +- docs/main/generated/torch.fft.fftshift.html | 2 +- docs/main/generated/torch.fft.hfft.html | 2 +- docs/main/generated/torch.fft.hfft2.html | 2 +- docs/main/generated/torch.fft.hfftn.html | 2 +- docs/main/generated/torch.fft.ifft.html | 2 +- docs/main/generated/torch.fft.ifft2.html | 2 +- docs/main/generated/torch.fft.ifftn.html | 2 +- docs/main/generated/torch.fft.ifftshift.html | 2 +- docs/main/generated/torch.fft.ihfft.html | 2 +- docs/main/generated/torch.fft.ihfft2.html | 2 +- docs/main/generated/torch.fft.ihfftn.html | 2 +- docs/main/generated/torch.fft.irfft.html | 2 +- docs/main/generated/torch.fft.irfft2.html | 2 +- docs/main/generated/torch.fft.irfftn.html | 2 +- docs/main/generated/torch.fft.rfft.html | 2 +- docs/main/generated/torch.fft.rfft2.html | 2 +- docs/main/generated/torch.fft.rfftfreq.html | 2 +- docs/main/generated/torch.fft.rfftn.html | 2 +- docs/main/generated/torch.fix.html | 2 +- docs/main/generated/torch.flatten.html | 2 +- docs/main/generated/torch.flip.html | 2 +- docs/main/generated/torch.fliplr.html | 2 +- docs/main/generated/torch.flipud.html | 2 +- docs/main/generated/torch.float_power.html | 2 +- docs/main/generated/torch.floor.html | 2 +- docs/main/generated/torch.floor_divide.html | 2 +- docs/main/generated/torch.fmax.html | 2 +- docs/main/generated/torch.fmin.html | 2 +- docs/main/generated/torch.fmod.html | 2 +- docs/main/generated/torch.frac.html | 2 +- docs/main/generated/torch.frexp.html | 2 +- docs/main/generated/torch.from_dlpack.html | 2 +- docs/main/generated/torch.from_numpy.html | 2 +- docs/main/generated/torch.frombuffer.html | 2 +- docs/main/generated/torch.full.html | 2 +- docs/main/generated/torch.full_like.html | 2 +- .../generated/torch.func.functional_call.html | 2 +- .../generated/torch.func.functionalize.html | 2 +- docs/main/generated/torch.func.grad.html | 2 +- .../generated/torch.func.grad_and_value.html | 2 +- docs/main/generated/torch.func.hessian.html | 2 +- docs/main/generated/torch.func.jacfwd.html | 2 +- docs/main/generated/torch.func.jacrev.html | 2 +- docs/main/generated/torch.func.jvp.html | 2 +- docs/main/generated/torch.func.linearize.html | 2 +- ....func.replace_all_batch_norm_modules_.html | 2 +- .../torch.func.stack_module_state.html | 2 +- docs/main/generated/torch.func.vjp.html | 2 +- docs/main/generated/torch.func.vmap.html | 2 +- docs/main/generated/torch.gather.html | 2 +- docs/main/generated/torch.gcd.html | 2 +- docs/main/generated/torch.ge.html | 2 +- docs/main/generated/torch.geqrf.html | 2 +- docs/main/generated/torch.ger.html | 2 +- .../generated/torch.get_default_dtype.html | 2 +- .../torch.get_deterministic_debug_mode.html | 2 +- .../torch.get_float32_matmul_precision.html | 2 +- .../torch.get_num_interop_threads.html | 2 +- .../main/generated/torch.get_num_threads.html | 2 +- docs/main/generated/torch.get_rng_state.html | 2 +- docs/main/generated/torch.gradient.html | 2 +- docs/main/generated/torch.greater.html | 2 +- docs/main/generated/torch.greater_equal.html | 2 +- docs/main/generated/torch.gt.html | 2 +- docs/main/generated/torch.hamming_window.html | 2 +- docs/main/generated/torch.hann_window.html | 2 +- docs/main/generated/torch.heaviside.html | 2 +- docs/main/generated/torch.histc.html | 2 +- docs/main/generated/torch.histogram.html | 2 +- docs/main/generated/torch.histogramdd.html | 2 +- docs/main/generated/torch.hsplit.html | 2 +- docs/main/generated/torch.hspmm.html | 2 +- docs/main/generated/torch.hstack.html | 2 +- docs/main/generated/torch.hypot.html | 2 +- docs/main/generated/torch.i0.html | 2 +- docs/main/generated/torch.igamma.html | 2 +- docs/main/generated/torch.igammac.html | 2 +- docs/main/generated/torch.imag.html | 2 +- docs/main/generated/torch.index_add.html | 2 +- docs/main/generated/torch.index_copy.html | 2 +- docs/main/generated/torch.index_reduce.html | 2 +- docs/main/generated/torch.index_select.html | 2 +- docs/main/generated/torch.inference_mode.html | 2 +- docs/main/generated/torch.initial_seed.html | 2 +- docs/main/generated/torch.inner.html | 2 +- docs/main/generated/torch.inverse.html | 2 +- docs/main/generated/torch.is_complex.html | 2 +- docs/main/generated/torch.is_conj.html | 2 +- ...ministic_algorithms_warn_only_enabled.html | 2 +- .../generated/torch.is_floating_point.html | 2 +- .../main/generated/torch.is_grad_enabled.html | 2 +- .../torch.is_inference_mode_enabled.html | 2 +- docs/main/generated/torch.is_nonzero.html | 2 +- docs/main/generated/torch.is_storage.html | 2 +- docs/main/generated/torch.is_tensor.html | 2 +- .../torch.is_warn_always_enabled.html | 2 +- docs/main/generated/torch.isclose.html | 2 +- docs/main/generated/torch.isfinite.html | 2 +- docs/main/generated/torch.isin.html | 2 +- docs/main/generated/torch.isinf.html | 2 +- docs/main/generated/torch.isnan.html | 2 +- docs/main/generated/torch.isneginf.html | 2 +- docs/main/generated/torch.isposinf.html | 2 +- docs/main/generated/torch.isreal.html | 2 +- docs/main/generated/torch.istft.html | 2 +- docs/main/generated/torch.jit.Attribute.html | 2 +- .../generated/torch.jit.ScriptFunction.html | 2 +- .../generated/torch.jit.ScriptModule.html | 2 +- docs/main/generated/torch.jit.annotate.html | 2 +- .../torch.jit.enable_onednn_fusion.html | 2 +- docs/main/generated/torch.jit.fork.html | 2 +- docs/main/generated/torch.jit.freeze.html | 2 +- docs/main/generated/torch.jit.ignore.html | 2 +- docs/main/generated/torch.jit.isinstance.html | 2 +- docs/main/generated/torch.jit.load.html | 2 +- .../torch.jit.onednn_fusion_enabled.html | 2 +- .../torch.jit.optimize_for_inference.html | 2 +- docs/main/generated/torch.jit.save.html | 2 +- docs/main/generated/torch.jit.script.html | 2 +- .../torch.jit.script_if_tracing.html | 2 +- .../torch.jit.set_fusion_strategy.html | 2 +- .../generated/torch.jit.strict_fusion.html | 2 +- docs/main/generated/torch.jit.trace.html | 2 +- .../generated/torch.jit.trace_module.html | 2 +- docs/main/generated/torch.jit.unused.html | 2 +- docs/main/generated/torch.jit.wait.html | 2 +- docs/main/generated/torch.kaiser_window.html | 2 +- docs/main/generated/torch.kron.html | 2 +- docs/main/generated/torch.kthvalue.html | 2 +- docs/main/generated/torch.lcm.html | 2 +- docs/main/generated/torch.ldexp.html | 2 +- docs/main/generated/torch.le.html | 2 +- docs/main/generated/torch.lerp.html | 2 +- docs/main/generated/torch.less.html | 2 +- docs/main/generated/torch.less_equal.html | 2 +- docs/main/generated/torch.lgamma.html | 2 +- .../main/generated/torch.linalg.cholesky.html | 2 +- .../generated/torch.linalg.cholesky_ex.html | 2 +- docs/main/generated/torch.linalg.cond.html | 2 +- docs/main/generated/torch.linalg.cross.html | 2 +- docs/main/generated/torch.linalg.det.html | 2 +- .../main/generated/torch.linalg.diagonal.html | 2 +- docs/main/generated/torch.linalg.eig.html | 2 +- docs/main/generated/torch.linalg.eigh.html | 2 +- docs/main/generated/torch.linalg.eigvals.html | 2 +- .../main/generated/torch.linalg.eigvalsh.html | 2 +- .../torch.linalg.householder_product.html | 2 +- docs/main/generated/torch.linalg.inv.html | 2 +- docs/main/generated/torch.linalg.inv_ex.html | 2 +- .../generated/torch.linalg.ldl_factor.html | 2 +- .../generated/torch.linalg.ldl_factor_ex.html | 2 +- .../generated/torch.linalg.ldl_solve.html | 2 +- docs/main/generated/torch.linalg.lstsq.html | 2 +- docs/main/generated/torch.linalg.lu.html | 2 +- .../generated/torch.linalg.lu_factor.html | 2 +- .../generated/torch.linalg.lu_factor_ex.html | 2 +- .../main/generated/torch.linalg.lu_solve.html | 2 +- docs/main/generated/torch.linalg.matmul.html | 2 +- .../generated/torch.linalg.matrix_exp.html | 2 +- .../generated/torch.linalg.matrix_norm.html | 2 +- .../generated/torch.linalg.matrix_power.html | 2 +- .../generated/torch.linalg.matrix_rank.html | 2 +- .../generated/torch.linalg.multi_dot.html | 2 +- docs/main/generated/torch.linalg.norm.html | 2 +- docs/main/generated/torch.linalg.pinv.html | 2 +- docs/main/generated/torch.linalg.qr.html | 2 +- docs/main/generated/torch.linalg.slogdet.html | 2 +- docs/main/generated/torch.linalg.solve.html | 2 +- .../main/generated/torch.linalg.solve_ex.html | 2 +- .../torch.linalg.solve_triangular.html | 2 +- docs/main/generated/torch.linalg.svd.html | 2 +- docs/main/generated/torch.linalg.svdvals.html | 2 +- .../generated/torch.linalg.tensorinv.html | 2 +- .../generated/torch.linalg.tensorsolve.html | 2 +- docs/main/generated/torch.linalg.vander.html | 2 +- docs/main/generated/torch.linalg.vecdot.html | 2 +- .../generated/torch.linalg.vector_norm.html | 2 +- docs/main/generated/torch.linspace.html | 2 +- docs/main/generated/torch.load.html | 2 +- docs/main/generated/torch.lobpcg.html | 2 +- docs/main/generated/torch.log.html | 2 +- docs/main/generated/torch.log10.html | 2 +- docs/main/generated/torch.log1p.html | 2 +- docs/main/generated/torch.log2.html | 2 +- docs/main/generated/torch.logaddexp.html | 2 +- docs/main/generated/torch.logaddexp2.html | 2 +- docs/main/generated/torch.logcumsumexp.html | 2 +- docs/main/generated/torch.logdet.html | 2 +- docs/main/generated/torch.logical_and.html | 2 +- docs/main/generated/torch.logical_not.html | 2 +- docs/main/generated/torch.logical_or.html | 2 +- docs/main/generated/torch.logical_xor.html | 2 +- docs/main/generated/torch.logit.html | 2 +- docs/main/generated/torch.logspace.html | 2 +- docs/main/generated/torch.logsumexp.html | 2 +- docs/main/generated/torch.lt.html | 2 +- docs/main/generated/torch.lu.html | 2 +- docs/main/generated/torch.lu_solve.html | 2 +- docs/main/generated/torch.lu_unpack.html | 2 +- docs/main/generated/torch.manual_seed.html | 2 +- docs/main/generated/torch.masked_select.html | 2 +- docs/main/generated/torch.matmul.html | 2 +- docs/main/generated/torch.matrix_exp.html | 2 +- docs/main/generated/torch.matrix_power.html | 2 +- docs/main/generated/torch.max.html | 2 +- docs/main/generated/torch.maximum.html | 2 +- docs/main/generated/torch.mean.html | 2 +- docs/main/generated/torch.median.html | 2 +- docs/main/generated/torch.meshgrid.html | 2 +- docs/main/generated/torch.min.html | 2 +- docs/main/generated/torch.minimum.html | 2 +- docs/main/generated/torch.mm.html | 2 +- docs/main/generated/torch.mode.html | 2 +- docs/main/generated/torch.moveaxis.html | 2 +- docs/main/generated/torch.movedim.html | 2 +- .../torch.mps.current_allocated_memory.html | 2 +- .../torch.mps.driver_allocated_memory.html | 2 +- .../main/generated/torch.mps.empty_cache.html | 2 +- .../main/generated/torch.mps.event.Event.html | 2 +- .../generated/torch.mps.get_rng_state.html | 2 +- .../main/generated/torch.mps.manual_seed.html | 2 +- .../generated/torch.mps.profiler.profile.html | 2 +- .../generated/torch.mps.profiler.start.html | 2 +- .../generated/torch.mps.profiler.stop.html | 2 +- docs/main/generated/torch.mps.seed.html | 2 +- ...h.mps.set_per_process_memory_fraction.html | 2 +- .../generated/torch.mps.set_rng_state.html | 2 +- .../main/generated/torch.mps.synchronize.html | 2 +- docs/main/generated/torch.msort.html | 2 +- docs/main/generated/torch.mul.html | 2 +- docs/main/generated/torch.multinomial.html | 2 +- docs/main/generated/torch.multiply.html | 2 +- docs/main/generated/torch.mv.html | 2 +- docs/main/generated/torch.mvlgamma.html | 2 +- docs/main/generated/torch.nan_to_num.html | 2 +- docs/main/generated/torch.nanmean.html | 2 +- docs/main/generated/torch.nanmedian.html | 2 +- docs/main/generated/torch.nanquantile.html | 2 +- docs/main/generated/torch.nansum.html | 2 +- docs/main/generated/torch.narrow.html | 2 +- docs/main/generated/torch.narrow_copy.html | 2 +- docs/main/generated/torch.ne.html | 2 +- docs/main/generated/torch.neg.html | 2 +- docs/main/generated/torch.negative.html | 2 +- docs/main/generated/torch.nextafter.html | 2 +- .../generated/torch.nn.AdaptiveAvgPool1d.html | 2 +- .../generated/torch.nn.AdaptiveAvgPool2d.html | 2 +- .../generated/torch.nn.AdaptiveAvgPool3d.html | 2 +- .../torch.nn.AdaptiveLogSoftmaxWithLoss.html | 2 +- .../generated/torch.nn.AdaptiveMaxPool1d.html | 2 +- .../generated/torch.nn.AdaptiveMaxPool2d.html | 2 +- .../generated/torch.nn.AdaptiveMaxPool3d.html | 2 +- .../main/generated/torch.nn.AlphaDropout.html | 2 +- docs/main/generated/torch.nn.AvgPool1d.html | 2 +- docs/main/generated/torch.nn.AvgPool2d.html | 2 +- docs/main/generated/torch.nn.AvgPool3d.html | 2 +- docs/main/generated/torch.nn.BCELoss.html | 2 +- .../generated/torch.nn.BCEWithLogitsLoss.html | 2 +- docs/main/generated/torch.nn.BatchNorm1d.html | 2 +- docs/main/generated/torch.nn.BatchNorm2d.html | 2 +- docs/main/generated/torch.nn.BatchNorm3d.html | 2 +- docs/main/generated/torch.nn.Bilinear.html | 2 +- docs/main/generated/torch.nn.CELU.html | 2 +- docs/main/generated/torch.nn.CTCLoss.html | 2 +- .../generated/torch.nn.ChannelShuffle.html | 2 +- .../generated/torch.nn.ConstantPad1d.html | 2 +- .../generated/torch.nn.ConstantPad2d.html | 2 +- .../generated/torch.nn.ConstantPad3d.html | 2 +- docs/main/generated/torch.nn.Conv1d.html | 2 +- docs/main/generated/torch.nn.Conv2d.html | 2 +- docs/main/generated/torch.nn.Conv3d.html | 2 +- .../generated/torch.nn.ConvTranspose1d.html | 2 +- .../generated/torch.nn.ConvTranspose2d.html | 2 +- .../generated/torch.nn.ConvTranspose3d.html | 2 +- .../torch.nn.CosineEmbeddingLoss.html | 2 +- .../generated/torch.nn.CosineSimilarity.html | 2 +- .../generated/torch.nn.CrossEntropyLoss.html | 2 +- .../main/generated/torch.nn.DataParallel.html | 2 +- docs/main/generated/torch.nn.Dropout.html | 2 +- docs/main/generated/torch.nn.Dropout1d.html | 2 +- docs/main/generated/torch.nn.Dropout2d.html | 2 +- docs/main/generated/torch.nn.Dropout3d.html | 2 +- docs/main/generated/torch.nn.ELU.html | 2 +- docs/main/generated/torch.nn.Embedding.html | 2 +- .../main/generated/torch.nn.EmbeddingBag.html | 2 +- .../torch.nn.FeatureAlphaDropout.html | 2 +- docs/main/generated/torch.nn.Flatten.html | 2 +- docs/main/generated/torch.nn.Fold.html | 2 +- .../torch.nn.FractionalMaxPool2d.html | 2 +- .../torch.nn.FractionalMaxPool3d.html | 2 +- docs/main/generated/torch.nn.GELU.html | 2 +- docs/main/generated/torch.nn.GLU.html | 2 +- docs/main/generated/torch.nn.GRU.html | 2 +- docs/main/generated/torch.nn.GRUCell.html | 2 +- .../generated/torch.nn.GaussianNLLLoss.html | 2 +- docs/main/generated/torch.nn.GroupNorm.html | 2 +- docs/main/generated/torch.nn.Hardshrink.html | 2 +- docs/main/generated/torch.nn.Hardsigmoid.html | 2 +- docs/main/generated/torch.nn.Hardswish.html | 2 +- docs/main/generated/torch.nn.Hardtanh.html | 2 +- .../torch.nn.HingeEmbeddingLoss.html | 2 +- docs/main/generated/torch.nn.HuberLoss.html | 2 +- docs/main/generated/torch.nn.Identity.html | 2 +- .../generated/torch.nn.InstanceNorm1d.html | 2 +- .../generated/torch.nn.InstanceNorm2d.html | 2 +- .../generated/torch.nn.InstanceNorm3d.html | 2 +- docs/main/generated/torch.nn.KLDivLoss.html | 2 +- docs/main/generated/torch.nn.L1Loss.html | 2 +- docs/main/generated/torch.nn.LPPool1d.html | 2 +- docs/main/generated/torch.nn.LPPool2d.html | 2 +- docs/main/generated/torch.nn.LSTM.html | 2 +- docs/main/generated/torch.nn.LSTMCell.html | 2 +- docs/main/generated/torch.nn.LayerNorm.html | 2 +- .../generated/torch.nn.LazyBatchNorm1d.html | 2 +- .../generated/torch.nn.LazyBatchNorm2d.html | 2 +- .../generated/torch.nn.LazyBatchNorm3d.html | 2 +- docs/main/generated/torch.nn.LazyConv1d.html | 2 +- docs/main/generated/torch.nn.LazyConv2d.html | 2 +- docs/main/generated/torch.nn.LazyConv3d.html | 2 +- .../torch.nn.LazyConvTranspose1d.html | 2 +- .../torch.nn.LazyConvTranspose2d.html | 2 +- .../torch.nn.LazyConvTranspose3d.html | 2 +- .../torch.nn.LazyInstanceNorm1d.html | 2 +- .../torch.nn.LazyInstanceNorm2d.html | 2 +- .../torch.nn.LazyInstanceNorm3d.html | 2 +- docs/main/generated/torch.nn.LazyLinear.html | 2 +- docs/main/generated/torch.nn.LeakyReLU.html | 2 +- docs/main/generated/torch.nn.Linear.html | 2 +- .../generated/torch.nn.LocalResponseNorm.html | 2 +- docs/main/generated/torch.nn.LogSigmoid.html | 2 +- docs/main/generated/torch.nn.LogSoftmax.html | 2 +- docs/main/generated/torch.nn.MSELoss.html | 2 +- .../generated/torch.nn.MarginRankingLoss.html | 2 +- docs/main/generated/torch.nn.MaxPool1d.html | 2 +- docs/main/generated/torch.nn.MaxPool2d.html | 2 +- docs/main/generated/torch.nn.MaxPool3d.html | 2 +- docs/main/generated/torch.nn.MaxUnpool1d.html | 2 +- docs/main/generated/torch.nn.MaxUnpool2d.html | 2 +- docs/main/generated/torch.nn.MaxUnpool3d.html | 2 +- docs/main/generated/torch.nn.Mish.html | 2 +- docs/main/generated/torch.nn.Module.html | 2 +- docs/main/generated/torch.nn.ModuleDict.html | 2 +- docs/main/generated/torch.nn.ModuleList.html | 2 +- .../torch.nn.MultiLabelMarginLoss.html | 2 +- .../torch.nn.MultiLabelSoftMarginLoss.html | 2 +- .../generated/torch.nn.MultiMarginLoss.html | 2 +- .../torch.nn.MultiheadAttention.html | 2 +- docs/main/generated/torch.nn.NLLLoss.html | 2 +- docs/main/generated/torch.nn.PReLU.html | 2 +- .../generated/torch.nn.PairwiseDistance.html | 2 +- .../generated/torch.nn.ParameterDict.html | 2 +- .../generated/torch.nn.ParameterList.html | 2 +- .../main/generated/torch.nn.PixelShuffle.html | 2 +- .../generated/torch.nn.PixelUnshuffle.html | 2 +- .../generated/torch.nn.PoissonNLLLoss.html | 2 +- docs/main/generated/torch.nn.RNN.html | 2 +- docs/main/generated/torch.nn.RNNBase.html | 2 +- docs/main/generated/torch.nn.RNNCell.html | 2 +- docs/main/generated/torch.nn.RReLU.html | 2 +- docs/main/generated/torch.nn.ReLU.html | 2 +- docs/main/generated/torch.nn.ReLU6.html | 2 +- .../generated/torch.nn.ReflectionPad1d.html | 2 +- .../generated/torch.nn.ReflectionPad2d.html | 2 +- .../generated/torch.nn.ReflectionPad3d.html | 2 +- .../generated/torch.nn.ReplicationPad1d.html | 2 +- .../generated/torch.nn.ReplicationPad2d.html | 2 +- .../generated/torch.nn.ReplicationPad3d.html | 2 +- docs/main/generated/torch.nn.SELU.html | 2 +- docs/main/generated/torch.nn.Sequential.html | 2 +- docs/main/generated/torch.nn.SiLU.html | 2 +- docs/main/generated/torch.nn.Sigmoid.html | 2 +- .../main/generated/torch.nn.SmoothL1Loss.html | 2 +- .../generated/torch.nn.SoftMarginLoss.html | 2 +- docs/main/generated/torch.nn.Softmax.html | 2 +- docs/main/generated/torch.nn.Softmax2d.html | 2 +- docs/main/generated/torch.nn.Softmin.html | 2 +- docs/main/generated/torch.nn.Softplus.html | 2 +- docs/main/generated/torch.nn.Softshrink.html | 2 +- docs/main/generated/torch.nn.Softsign.html | 2 +- .../generated/torch.nn.SyncBatchNorm.html | 2 +- docs/main/generated/torch.nn.Tanh.html | 2 +- docs/main/generated/torch.nn.Tanhshrink.html | 2 +- docs/main/generated/torch.nn.Threshold.html | 2 +- docs/main/generated/torch.nn.Transformer.html | 2 +- .../torch.nn.TransformerDecoder.html | 2 +- .../torch.nn.TransformerDecoderLayer.html | 2 +- .../torch.nn.TransformerEncoder.html | 2 +- .../torch.nn.TransformerEncoderLayer.html | 2 +- .../generated/torch.nn.TripletMarginLoss.html | 2 +- ...orch.nn.TripletMarginWithDistanceLoss.html | 2 +- docs/main/generated/torch.nn.Unflatten.html | 2 +- docs/main/generated/torch.nn.Unfold.html | 2 +- docs/main/generated/torch.nn.Upsample.html | 2 +- .../torch.nn.UpsamplingBilinear2d.html | 2 +- .../torch.nn.UpsamplingNearest2d.html | 2 +- docs/main/generated/torch.nn.ZeroPad1d.html | 2 +- docs/main/generated/torch.nn.ZeroPad2d.html | 2 +- docs/main/generated/torch.nn.ZeroPad3d.html | 2 +- ...rch.nn.functional.adaptive_avg_pool1d.html | 2 +- ...rch.nn.functional.adaptive_avg_pool2d.html | 2 +- ...rch.nn.functional.adaptive_avg_pool3d.html | 2 +- ...rch.nn.functional.adaptive_max_pool1d.html | 2 +- ...rch.nn.functional.adaptive_max_pool2d.html | 2 +- ...rch.nn.functional.adaptive_max_pool3d.html | 2 +- .../torch.nn.functional.affine_grid.html | 2 +- .../torch.nn.functional.alpha_dropout.html | 2 +- .../torch.nn.functional.avg_pool1d.html | 2 +- .../torch.nn.functional.avg_pool2d.html | 2 +- .../torch.nn.functional.avg_pool3d.html | 2 +- .../torch.nn.functional.batch_norm.html | 2 +- .../torch.nn.functional.bilinear.html | 2 +- ...ch.nn.functional.binary_cross_entropy.html | 2 +- ...onal.binary_cross_entropy_with_logits.html | 2 +- .../generated/torch.nn.functional.celu.html | 2 +- .../generated/torch.nn.functional.conv1d.html | 2 +- .../generated/torch.nn.functional.conv2d.html | 2 +- .../generated/torch.nn.functional.conv3d.html | 2 +- .../torch.nn.functional.conv_transpose1d.html | 2 +- .../torch.nn.functional.conv_transpose2d.html | 2 +- .../torch.nn.functional.conv_transpose3d.html | 2 +- ...h.nn.functional.cosine_embedding_loss.html | 2 +- ...torch.nn.functional.cosine_similarity.html | 2 +- .../torch.nn.functional.cross_entropy.html | 2 +- .../torch.nn.functional.ctc_loss.html | 2 +- .../torch.nn.functional.dropout.html | 2 +- .../torch.nn.functional.dropout1d.html | 2 +- .../torch.nn.functional.dropout2d.html | 2 +- .../torch.nn.functional.dropout3d.html | 2 +- .../generated/torch.nn.functional.elu.html | 2 +- .../generated/torch.nn.functional.elu_.html | 2 +- .../torch.nn.functional.embedding.html | 2 +- .../torch.nn.functional.embedding_bag.html | 2 +- ...h.nn.functional.feature_alpha_dropout.html | 2 +- .../generated/torch.nn.functional.fold.html | 2 +- ...h.nn.functional.fractional_max_pool2d.html | 2 +- ...h.nn.functional.fractional_max_pool3d.html | 2 +- ...torch.nn.functional.gaussian_nll_loss.html | 2 +- .../generated/torch.nn.functional.gelu.html | 2 +- .../generated/torch.nn.functional.glu.html | 2 +- .../torch.nn.functional.grid_sample.html | 2 +- .../torch.nn.functional.group_norm.html | 2 +- .../torch.nn.functional.gumbel_softmax.html | 2 +- .../torch.nn.functional.hardshrink.html | 2 +- .../torch.nn.functional.hardsigmoid.html | 2 +- .../torch.nn.functional.hardswish.html | 2 +- .../torch.nn.functional.hardtanh.html | 2 +- .../torch.nn.functional.hardtanh_.html | 2 +- ...ch.nn.functional.hinge_embedding_loss.html | 2 +- .../torch.nn.functional.huber_loss.html | 2 +- .../torch.nn.functional.instance_norm.html | 2 +- .../torch.nn.functional.interpolate.html | 2 +- .../generated/torch.nn.functional.kl_div.html | 2 +- .../torch.nn.functional.l1_loss.html | 2 +- .../torch.nn.functional.layer_norm.html | 2 +- .../torch.nn.functional.leaky_relu.html | 2 +- .../torch.nn.functional.leaky_relu_.html | 2 +- .../generated/torch.nn.functional.linear.html | 2 +- ...rch.nn.functional.local_response_norm.html | 2 +- .../torch.nn.functional.log_softmax.html | 2 +- .../torch.nn.functional.logsigmoid.html | 2 +- .../torch.nn.functional.lp_pool1d.html | 2 +- .../torch.nn.functional.lp_pool2d.html | 2 +- ...rch.nn.functional.margin_ranking_loss.html | 2 +- .../torch.nn.functional.max_pool1d.html | 2 +- .../torch.nn.functional.max_pool2d.html | 2 +- .../torch.nn.functional.max_pool3d.html | 2 +- .../torch.nn.functional.max_unpool1d.html | 2 +- .../torch.nn.functional.max_unpool2d.html | 2 +- .../torch.nn.functional.max_unpool3d.html | 2 +- .../generated/torch.nn.functional.mish.html | 2 +- .../torch.nn.functional.mse_loss.html | 2 +- ...torch.nn.functional.multi_margin_loss.html | 2 +- ....nn.functional.multilabel_margin_loss.html | 2 +- ...unctional.multilabel_soft_margin_loss.html | 2 +- .../torch.nn.functional.nll_loss.html | 2 +- .../torch.nn.functional.normalize.html | 2 +- .../torch.nn.functional.one_hot.html | 2 +- .../generated/torch.nn.functional.pad.html | 2 +- ...torch.nn.functional.pairwise_distance.html | 2 +- .../generated/torch.nn.functional.pdist.html | 2 +- .../torch.nn.functional.pixel_shuffle.html | 2 +- .../torch.nn.functional.pixel_unshuffle.html | 2 +- .../torch.nn.functional.poisson_nll_loss.html | 2 +- .../generated/torch.nn.functional.prelu.html | 2 +- .../generated/torch.nn.functional.relu.html | 2 +- .../generated/torch.nn.functional.relu6.html | 2 +- .../generated/torch.nn.functional.relu_.html | 2 +- .../generated/torch.nn.functional.rrelu.html | 2 +- .../generated/torch.nn.functional.rrelu_.html | 2 +- ...nctional.scaled_dot_product_attention.html | 2 +- .../generated/torch.nn.functional.selu.html | 2 +- .../torch.nn.functional.sigmoid.html | 2 +- .../generated/torch.nn.functional.silu.html | 2 +- .../torch.nn.functional.smooth_l1_loss.html | 2 +- .../torch.nn.functional.soft_margin_loss.html | 2 +- .../torch.nn.functional.softmax.html | 2 +- .../torch.nn.functional.softmin.html | 2 +- .../torch.nn.functional.softplus.html | 2 +- .../torch.nn.functional.softshrink.html | 2 +- .../torch.nn.functional.softsign.html | 2 +- .../generated/torch.nn.functional.tanh.html | 2 +- .../torch.nn.functional.tanhshrink.html | 2 +- .../torch.nn.functional.threshold.html | 2 +- .../torch.nn.functional.threshold_.html | 2 +- ...ional.torch.nn.parallel.data_parallel.html | 2 +- ...rch.nn.functional.triplet_margin_loss.html | 2 +- ...nal.triplet_margin_with_distance_loss.html | 2 +- .../generated/torch.nn.functional.unfold.html | 2 +- .../torch.nn.functional.upsample.html | 2 +- ...torch.nn.functional.upsample_bilinear.html | 2 +- .../torch.nn.functional.upsample_nearest.html | 2 +- ...torch.nn.modules.lazy.LazyModuleMixin.html | 2 +- ....module.register_module_backward_hook.html | 2 +- ...ister_module_buffer_registration_hook.html | 2 +- ...s.module.register_module_forward_hook.html | 2 +- ...dule.register_module_forward_pre_hook.html | 2 +- ...le.register_module_full_backward_hook.html | 2 +- ...egister_module_full_backward_pre_hook.html | 2 +- ...ister_module_module_registration_hook.html | 2 +- ...er_module_parameter_registration_hook.html | 2 +- ...h.nn.parallel.DistributedDataParallel.html | 2 +- .../torch.nn.parameter.Parameter.html | 2 +- ...orch.nn.parameter.UninitializedBuffer.html | 2 +- ...h.nn.parameter.UninitializedParameter.html | 2 +- .../torch.nn.utils.clip_grad_norm_.html | 2 +- .../torch.nn.utils.clip_grad_value_.html | 2 +- .../torch.nn.utils.parameters_to_vector.html | 2 +- ....nn.utils.parametrizations.orthogonal.html | 2 +- ....utils.parametrizations.spectral_norm.html | 2 +- ...utils.parametrize.ParametrizationList.html | 2 +- .../torch.nn.utils.parametrize.cached.html | 2 +- ....nn.utils.parametrize.is_parametrized.html | 2 +- ....parametrize.register_parametrization.html | 2 +- ...s.parametrize.remove_parametrizations.html | 2 +- ...orch.nn.utils.prune.BasePruningMethod.html | 2 +- .../torch.nn.utils.prune.CustomFromMask.html | 2 +- .../torch.nn.utils.prune.Identity.html | 2 +- .../torch.nn.utils.prune.L1Unstructured.html | 2 +- .../torch.nn.utils.prune.LnStructured.html | 2 +- ...torch.nn.utils.prune.PruningContainer.html | 2 +- ...torch.nn.utils.prune.RandomStructured.html | 2 +- ...rch.nn.utils.prune.RandomUnstructured.html | 2 +- ...torch.nn.utils.prune.custom_from_mask.html | 2 +- ...ch.nn.utils.prune.global_unstructured.html | 2 +- .../torch.nn.utils.prune.identity.html | 2 +- .../torch.nn.utils.prune.is_pruned.html | 2 +- .../torch.nn.utils.prune.l1_unstructured.html | 2 +- .../torch.nn.utils.prune.ln_structured.html | 2 +- ...orch.nn.utils.prune.random_structured.html | 2 +- ...ch.nn.utils.prune.random_unstructured.html | 2 +- .../torch.nn.utils.prune.remove.html | 2 +- .../torch.nn.utils.remove_spectral_norm.html | 2 +- .../torch.nn.utils.remove_weight_norm.html | 2 +- .../torch.nn.utils.rnn.PackedSequence.html | 2 +- ...rch.nn.utils.rnn.pack_padded_sequence.html | 2 +- .../torch.nn.utils.rnn.pack_sequence.html | 2 +- ...orch.nn.utils.rnn.pad_packed_sequence.html | 2 +- .../torch.nn.utils.rnn.pad_sequence.html | 2 +- .../torch.nn.utils.rnn.unpack_sequence.html | 2 +- .../torch.nn.utils.rnn.unpad_sequence.html | 2 +- .../generated/torch.nn.utils.skip_init.html | 2 +- .../torch.nn.utils.spectral_norm.html | 2 +- ...ch.nn.utils.stateless.functional_call.html | 2 +- .../torch.nn.utils.vector_to_parameters.html | 2 +- .../generated/torch.nn.utils.weight_norm.html | 2 +- docs/main/generated/torch.no_grad.html | 2 +- docs/main/generated/torch.nonzero.html | 2 +- docs/main/generated/torch.norm.html | 2 +- docs/main/generated/torch.normal.html | 2 +- docs/main/generated/torch.not_equal.html | 2 +- docs/main/generated/torch.numel.html | 2 +- docs/main/generated/torch.ones.html | 2 +- docs/main/generated/torch.ones_like.html | 2 +- .../torch.onnx.DiagnosticOptions.html | 2 +- .../generated/torch.onnx.ExportOptions.html | 2 +- .../generated/torch.onnx.ExportOutput.html | 2 +- .../torch.onnx.ExportOutputSerializer.html | 2 +- .../generated/torch.onnx.JitScalarType.html | 2 +- .../torch.onnx.OnnxExporterError.html | 2 +- .../generated/torch.onnx.OnnxRegistry.html | 2 +- .../torch.onnx.verification.GraphInfo.html | 2 +- ...onnx.verification.VerificationOptions.html | 2 +- docs/main/generated/torch.optim.ASGD.html | 2 +- docs/main/generated/torch.optim.Adadelta.html | 2 +- docs/main/generated/torch.optim.Adagrad.html | 2 +- docs/main/generated/torch.optim.Adam.html | 2 +- docs/main/generated/torch.optim.AdamW.html | 2 +- docs/main/generated/torch.optim.Adamax.html | 2 +- docs/main/generated/torch.optim.LBFGS.html | 2 +- docs/main/generated/torch.optim.NAdam.html | 2 +- ...torch.optim.Optimizer.add_param_group.html | 2 +- ...torch.optim.Optimizer.load_state_dict.html | 2 +- .../torch.optim.Optimizer.state_dict.html | 2 +- .../generated/torch.optim.Optimizer.step.html | 2 +- .../torch.optim.Optimizer.zero_grad.html | 2 +- docs/main/generated/torch.optim.RAdam.html | 2 +- docs/main/generated/torch.optim.RMSprop.html | 2 +- docs/main/generated/torch.optim.Rprop.html | 2 +- docs/main/generated/torch.optim.SGD.html | 2 +- .../generated/torch.optim.SparseAdam.html | 2 +- ...h.optim.lr_scheduler.ChainedScheduler.html | 2 +- .../torch.optim.lr_scheduler.ConstantLR.html | 2 +- ....optim.lr_scheduler.CosineAnnealingLR.html | 2 +- ...scheduler.CosineAnnealingWarmRestarts.html | 2 +- .../torch.optim.lr_scheduler.CyclicLR.html | 2 +- ...orch.optim.lr_scheduler.ExponentialLR.html | 2 +- .../torch.optim.lr_scheduler.LambdaLR.html | 2 +- .../torch.optim.lr_scheduler.LinearLR.html | 2 +- .../torch.optim.lr_scheduler.MultiStepLR.html | 2 +- ...h.optim.lr_scheduler.MultiplicativeLR.html | 2 +- .../torch.optim.lr_scheduler.OneCycleLR.html | 2 +- ...torch.optim.lr_scheduler.PolynomialLR.html | 2 +- ....optim.lr_scheduler.ReduceLROnPlateau.html | 2 +- ...torch.optim.lr_scheduler.SequentialLR.html | 2 +- .../torch.optim.lr_scheduler.StepLR.html | 2 +- docs/main/generated/torch.orgqr.html | 2 +- docs/main/generated/torch.ormqr.html | 2 +- docs/main/generated/torch.outer.html | 2 +- docs/main/generated/torch.pca_lowrank.html | 2 +- docs/main/generated/torch.permute.html | 2 +- docs/main/generated/torch.pinverse.html | 2 +- docs/main/generated/torch.poisson.html | 2 +- docs/main/generated/torch.polar.html | 2 +- docs/main/generated/torch.polygamma.html | 2 +- docs/main/generated/torch.positive.html | 2 +- docs/main/generated/torch.pow.html | 2 +- docs/main/generated/torch.prod.html | 2 +- docs/main/generated/torch.promote_types.html | 2 +- docs/main/generated/torch.qr.html | 2 +- docs/main/generated/torch.quantile.html | 2 +- .../generated/torch.quantize_per_channel.html | 2 +- .../generated/torch.quantize_per_tensor.html | 2 +- .../generated/torch.quantized_batch_norm.html | 2 +- .../generated/torch.quantized_max_pool1d.html | 2 +- .../generated/torch.quantized_max_pool2d.html | 2 +- .../torch.quasirandom.SobolEngine.html | 2 +- docs/main/generated/torch.rad2deg.html | 2 +- docs/main/generated/torch.rand.html | 2 +- docs/main/generated/torch.rand_like.html | 2 +- docs/main/generated/torch.randint.html | 2 +- docs/main/generated/torch.randint_like.html | 2 +- docs/main/generated/torch.randn.html | 2 +- docs/main/generated/torch.randn_like.html | 2 +- docs/main/generated/torch.randperm.html | 2 +- docs/main/generated/torch.range.html | 2 +- docs/main/generated/torch.ravel.html | 2 +- docs/main/generated/torch.real.html | 2 +- docs/main/generated/torch.reciprocal.html | 2 +- docs/main/generated/torch.remainder.html | 2 +- docs/main/generated/torch.renorm.html | 2 +- .../generated/torch.repeat_interleave.html | 2 +- docs/main/generated/torch.reshape.html | 2 +- docs/main/generated/torch.resolve_conj.html | 2 +- docs/main/generated/torch.resolve_neg.html | 2 +- docs/main/generated/torch.result_type.html | 2 +- docs/main/generated/torch.roll.html | 2 +- docs/main/generated/torch.rot90.html | 2 +- docs/main/generated/torch.round.html | 2 +- docs/main/generated/torch.row_stack.html | 2 +- docs/main/generated/torch.rsqrt.html | 2 +- docs/main/generated/torch.save.html | 2 +- docs/main/generated/torch.scatter.html | 2 +- docs/main/generated/torch.scatter_add.html | 2 +- docs/main/generated/torch.scatter_reduce.html | 2 +- docs/main/generated/torch.searchsorted.html | 2 +- docs/main/generated/torch.seed.html | 2 +- docs/main/generated/torch.select.html | 2 +- docs/main/generated/torch.select_scatter.html | 2 +- .../generated/torch.set_default_device.html | 2 +- .../generated/torch.set_default_dtype.html | 2 +- .../torch.set_default_tensor_type.html | 2 +- .../torch.set_deterministic_debug_mode.html | 2 +- .../torch.set_float32_matmul_precision.html | 2 +- .../generated/torch.set_flush_denormal.html | 2 +- .../generated/torch.set_grad_enabled.html | 2 +- .../torch.set_num_interop_threads.html | 2 +- .../main/generated/torch.set_num_threads.html | 2 +- .../generated/torch.set_printoptions.html | 2 +- docs/main/generated/torch.set_rng_state.html | 2 +- .../main/generated/torch.set_warn_always.html | 2 +- docs/main/generated/torch.sgn.html | 2 +- docs/main/generated/torch.sigmoid.html | 2 +- docs/main/generated/torch.sign.html | 2 +- .../torch.signal.windows.bartlett.html | 2 +- .../torch.signal.windows.blackman.html | 2 +- .../torch.signal.windows.cosine.html | 2 +- .../torch.signal.windows.exponential.html | 2 +- .../torch.signal.windows.gaussian.html | 2 +- .../torch.signal.windows.general_cosine.html | 2 +- .../torch.signal.windows.general_hamming.html | 2 +- .../torch.signal.windows.hamming.html | 2 +- .../generated/torch.signal.windows.hann.html | 2 +- .../torch.signal.windows.kaiser.html | 2 +- .../torch.signal.windows.nuttall.html | 2 +- docs/main/generated/torch.signbit.html | 2 +- docs/main/generated/torch.sin.html | 2 +- docs/main/generated/torch.sinc.html | 2 +- docs/main/generated/torch.sinh.html | 2 +- docs/main/generated/torch.slice_scatter.html | 2 +- docs/main/generated/torch.slogdet.html | 2 +- docs/main/generated/torch.smm.html | 2 +- docs/main/generated/torch.softmax.html | 2 +- docs/main/generated/torch.sort.html | 2 +- docs/main/generated/torch.sparse.addmm.html | 2 +- ...sparse.check_sparse_tensor_invariants.html | 2 +- .../generated/torch.sparse.log_softmax.html | 2 +- docs/main/generated/torch.sparse.mm.html | 2 +- .../generated/torch.sparse.sampled_addmm.html | 2 +- docs/main/generated/torch.sparse.softmax.html | 2 +- docs/main/generated/torch.sparse.spdiags.html | 2 +- docs/main/generated/torch.sparse.sum.html | 2 +- .../generated/torch.sparse_bsc_tensor.html | 2 +- .../generated/torch.sparse_bsr_tensor.html | 2 +- .../torch.sparse_compressed_tensor.html | 2 +- .../generated/torch.sparse_coo_tensor.html | 2 +- .../generated/torch.sparse_csc_tensor.html | 2 +- .../generated/torch.sparse_csr_tensor.html | 2 +- docs/main/generated/torch.split.html | 2 +- docs/main/generated/torch.sqrt.html | 2 +- docs/main/generated/torch.square.html | 2 +- docs/main/generated/torch.squeeze.html | 2 +- docs/main/generated/torch.sspaddmm.html | 2 +- docs/main/generated/torch.stack.html | 2 +- docs/main/generated/torch.std.html | 2 +- docs/main/generated/torch.std_mean.html | 2 +- docs/main/generated/torch.stft.html | 2 +- docs/main/generated/torch.sub.html | 2 +- docs/main/generated/torch.subtract.html | 2 +- docs/main/generated/torch.sum.html | 2 +- docs/main/generated/torch.svd.html | 2 +- docs/main/generated/torch.svd_lowrank.html | 2 +- docs/main/generated/torch.swapaxes.html | 2 +- docs/main/generated/torch.swapdims.html | 2 +- docs/main/generated/torch.sym_float.html | 2 +- docs/main/generated/torch.sym_int.html | 2 +- docs/main/generated/torch.sym_max.html | 2 +- docs/main/generated/torch.sym_min.html | 2 +- docs/main/generated/torch.sym_not.html | 2 +- docs/main/generated/torch.t.html | 2 +- docs/main/generated/torch.take.html | 2 +- docs/main/generated/torch.take_along_dim.html | 2 +- docs/main/generated/torch.tan.html | 2 +- docs/main/generated/torch.tanh.html | 2 +- docs/main/generated/torch.tensor.html | 2 +- docs/main/generated/torch.tensor_split.html | 2 +- docs/main/generated/torch.tensordot.html | 2 +- docs/main/generated/torch.tile.html | 2 +- docs/main/generated/torch.topk.html | 2 +- docs/main/generated/torch.trace.html | 2 +- docs/main/generated/torch.transpose.html | 2 +- docs/main/generated/torch.trapezoid.html | 2 +- docs/main/generated/torch.trapz.html | 2 +- .../generated/torch.triangular_solve.html | 2 +- docs/main/generated/torch.tril.html | 2 +- docs/main/generated/torch.tril_indices.html | 2 +- docs/main/generated/torch.triu.html | 2 +- docs/main/generated/torch.triu_indices.html | 2 +- docs/main/generated/torch.true_divide.html | 2 +- docs/main/generated/torch.trunc.html | 2 +- docs/main/generated/torch.unbind.html | 2 +- docs/main/generated/torch.unflatten.html | 2 +- docs/main/generated/torch.unique.html | 2 +- .../generated/torch.unique_consecutive.html | 2 +- docs/main/generated/torch.unsqueeze.html | 2 +- .../torch.use_deterministic_algorithms.html | 2 +- ...erate_methods_for_privateuse1_backend.html | 2 +- .../torch.utils.get_cpp_backtrace.html | 2 +- ...orch.utils.rename_privateuse1_backend.html | 2 +- .../generated/torch.utils.set_module.html | 2 +- docs/main/generated/torch.vander.html | 2 +- docs/main/generated/torch.var.html | 2 +- docs/main/generated/torch.var_mean.html | 2 +- docs/main/generated/torch.vdot.html | 2 +- .../main/generated/torch.view_as_complex.html | 2 +- docs/main/generated/torch.view_as_real.html | 2 +- docs/main/generated/torch.vmap.html | 2 +- docs/main/generated/torch.vsplit.html | 2 +- docs/main/generated/torch.vstack.html | 2 +- docs/main/generated/torch.where.html | 2 +- docs/main/generated/torch.xlogy.html | 2 +- docs/main/generated/torch.zeros.html | 2 +- docs/main/generated/torch.zeros_like.html | 2 +- docs/main/genindex.html | 2 +- docs/main/hub.html | 2 +- docs/main/index.html | 2 +- docs/main/jit.html | 2 +- docs/main/jit_builtin_functions.html | 2 +- docs/main/jit_language_reference.html | 2 +- docs/main/jit_language_reference_v2.html | 2 +- docs/main/jit_python_reference.html | 2 +- docs/main/jit_unsupported.html | 2 +- docs/main/jit_utils.html | 2 +- docs/main/library.html | 2 +- docs/main/linalg.html | 2 +- docs/main/logging.html | 2 +- docs/main/masked.html | 2 +- docs/main/mobile_optimizer.html | 2 +- docs/main/model_zoo.html | 2 +- docs/main/monitor.html | 2 +- docs/main/mps.html | 2 +- docs/main/multiprocessing.html | 2 +- docs/main/name_inference.html | 2 +- docs/main/named_tensor.html | 2 +- docs/main/nested.html | 2 +- docs/main/nn.functional.html | 2 +- docs/main/nn.html | 2 +- docs/main/nn.init.html | 2 +- docs/main/notes/amp_examples.html | 2 +- docs/main/notes/autograd.html | 2 +- docs/main/notes/broadcasting.html | 2 +- .../cpu_threading_torchscript_inference.html | 2 +- docs/main/notes/cuda.html | 2 +- docs/main/notes/ddp.html | 2 +- docs/main/notes/extending.func.html | 2 +- docs/main/notes/extending.html | 2 +- docs/main/notes/faq.html | 2 +- docs/main/notes/gradcheck.html | 2 +- docs/main/notes/hip.html | 2 +- docs/main/notes/large_scale_deployments.html | 2 +- docs/main/notes/modules.html | 2 +- docs/main/notes/mps.html | 2 +- docs/main/notes/multiprocessing.html | 2 +- docs/main/notes/numerical_accuracy.html | 2 +- docs/main/notes/randomness.html | 2 +- docs/main/notes/serialization.html | 2 +- docs/main/notes/windows.html | 2 +- docs/main/objects.inv | Bin 123384 -> 123384 bytes docs/main/onnx.html | 2 +- docs/main/onnx_diagnostics.html | 2 +- docs/main/onnx_supported_aten_ops.html | 2 +- docs/main/optim.html | 2 +- docs/main/package.html | 2 +- docs/main/pipeline.html | 2 +- docs/main/profiler.html | 2 +- docs/main/py-modindex.html | 2 +- .../main/quantization-accuracy-debugging.html | 2 +- .../quantization-backend-configuration.html | 182 +++++++++--------- docs/main/quantization-support.html | 2 +- docs/main/quantization.html | 2 +- docs/main/random.html | 2 +- docs/main/rpc.html | 2 +- docs/main/rpc/distributed_autograd.html | 2 +- docs/main/rpc/rref.html | 2 +- docs/main/search.html | 2 +- docs/main/searchindex.js | 2 +- docs/main/signal.html | 2 +- docs/main/sparse.html | 2 +- docs/main/special.html | 2 +- docs/main/storage.html | 2 +- docs/main/tensor_attributes.html | 2 +- docs/main/tensor_view.html | 2 +- docs/main/tensorboard.html | 2 +- docs/main/tensors.html | 2 +- docs/main/testing.html | 2 +- docs/main/torch.ao.ns._numeric_suite.html | 2 +- docs/main/torch.ao.ns._numeric_suite_fx.html | 2 +- docs/main/torch.compiler.html | 2 +- docs/main/torch.compiler_api.html | 2 +- ....compiler_best_practices_for_backends.html | 2 +- docs/main/torch.compiler_cudagraph_trees.html | 2 +- docs/main/torch.compiler_custom_backends.html | 2 +- docs/main/torch.compiler_deepdive.html | 2 +- docs/main/torch.compiler_dynamic_shapes.html | 2 +- docs/main/torch.compiler_fake_tensor.html | 2 +- docs/main/torch.compiler_faq.html | 2 +- docs/main/torch.compiler_fine_grain_apis.html | 2 +- docs/main/torch.compiler_get_started.html | 2 +- docs/main/torch.compiler_guards_overview.html | 2 +- .../torch.compiler_inductor_profiling.html | 2 +- docs/main/torch.compiler_ir.html | 2 +- docs/main/torch.compiler_nn_module.html | 2 +- .../torch.compiler_performance_dashboard.html | 2 +- ...orch.compiler_profiling_torch_compile.html | 2 +- docs/main/torch.compiler_transformations.html | 2 +- docs/main/torch.compiler_troubleshooting.html | 2 +- docs/main/torch.html | 2 +- docs/main/torch.overrides.html | 2 +- docs/main/type_info.html | 2 +- docs/main/utils.html | 2 +- 2270 files changed, 2569 insertions(+), 2611 deletions(-) diff --git a/docs/main/_images/RReLU.png b/docs/main/_images/RReLU.png index 18ad950280156c836d70139cf0236ffa00bc10d8..1bba722d8d3a0a3d74a185c2295d56cee9e5a918 100644 GIT binary patch literal 34006 zcmd>mhd-A6`~FQ<5y{L9Pb4c@*)l63A+ob&?>&mLNh)MUQOM5TyX+);XYalFotNr) zp3mp|{r&~NUay{>?z{VTUGMk#KF{Mg&f~lS?#j!YJwtH@g+iUZbyM;l3We^CLZOY~ zV8JUqor6E&4}NiQ_ZZDU@tpEq$-9GhC8b(D*m}&BWCu1>jo!an>|f)tQ0)5pZL9u%Ykn&!OWqx} zLS^E+Xk^4_B$A{L{EDZyu{p0@mAQ*O-PW?dDI~(|5U$Z_yS5e{kcs7Db;aOOi!Y7M^?Gdj}!=gql z8czXiv!y)`X}*}RqC5LDuY*6test5=>-HRSX47Jy7alYxH!#zu;S4O zkylhy+$F}O9Clxq)3j^l!NJFWmX*a(;{(9 zmvNiq{rj)$T`yd?P_$Su(2=PnxU;vHq?jx{)0f92vip+=hmQ5f;nsi^r~8hzudi=a zZS5&G_57+Ln~CSopWmI>r1ji+Xg~ksEE*b`Nk<}@fc=d3bi5n>bX#1W8V4sQ;Y4GY zjHDz61-FTJRh1YX`BjwY!HPu4wEOYlHmCKd7`H_~F%1n34go>qOJ=3#Z{9r0(YCSS zgsWz^pZk9LEG4gRSQtTx{p^z-9WQF>n_}uus&5ei4T;PYu+`4tTz+&K8nCKC?MuGVa zadC7ZVPUo(7M)3$Q|$=^sHV2IhCmXQm6cio1{M}vj*6Wm;Ws)G_wSP;tKq)(g=xz& zP)qo5qf0GY7cE6TE|5mpb##BZvhm%mh{VfhEQ=>!R&JUGtzjyjB z6({I~?}JSst*uQH?>fg^R9ZUmxktOU>hUQ;GBUr05K5hu)l$br@jG|$;OCOU){Vn^ z&akwrT?(Rf?Cki%!^5a6BGXLrvB;KnWTuj9DqAs;i60ZEK2k$B`%>{V&AQ!EUmo_@ z*ciE>BkRH8q0PpOV%hQ0{?2M6ZI08jHUt>z!{z(uiHJBKeZQRlsQZjS9RBgaIspwt znfXWsHOu{stD?rXw%6VMI%(0$hyO>AMXxJz$0LP3NXqP&+z+AQa znwqRNH8s9jSy`7kI4Wm&k^89`7}!r5P&3__>7-|6ZPDvX&#JgmR#ql?`@1f>03SQaT%G@lshdmsdnqo|mi@85< z$F5zbhB~KFXjwk$IypI+Bpb<|q*dzpS!BBM_=pANzq>x&Q?e9%feQl_9v$scy?F)~ zR|>YZer2rI%tPMDbvHWn0+%%0O68B9Bo?1i?>M#NqeC>59|3KqgO-AV0xZlaOiaw{ z9((!q9tmDY{3TAy_#7M@7#J9%uQe=hsH>}&=NG3zAmEp~ZkCK@PTqd{^rATo}E-m`WSA$&=2t)yY4Tm5ElFQ565sb!{J;IZ#`Iq-?Y{Ez6!$*C#5 zsg~%eX{)Z3v!v{rCOOSzwmmcB^+7oXU(V-S4pBfx>8|xII#9!aaVpzYM!U zjJZAJL@OVAosPOQ{pb9AkhizDx(?ITtLGFI6?tBdSl6CKd7r|@SM$((_>k`F*RPK} zj{22p=eCXXop~F4NTMVOpObks!wu2}(G3 z5aSu$+sj*v1DtwwINavF=gv}aSHbx-Tlne_ZT85ddbTXl!(^8$s z_K@m)i8u~&q`i)InUEx1S64R*nYn%N})mu_pSy|c7bX4ob#S6Q=S*{#J|0ymX zFLXLFNi4&1X|UM&V6_o~2;wmmxzQd?JGt`D@6+;(+x5PGP>j0z5FJUoSrvO{kl4V( zk_Z`+g{)6cEL9EZApnlC{+Ab*$a&4l$H&JYiqVYr>2rJGVo5HKJ7deZ9FPgak?>#wh=%Is%mZ?5)z%LC~bXx{SH8w z9OqR%-=|OCLeb^<(c0cF^WedS+`PQi+0+DjIyy83;Z0($a`b3NSPOBS1ITFPkb}Cn zI!O!~J7sdizYe8CiYaaS`t`i2si|J;8y@=0mv1^dJNxJ7a|dl=<5OLRFz3k4%|(F7 zb?22tWWO*`oUR)t>#iR^eiYB@34(p=9AAZBHLb0!dc~id&}aqhZ=%jY8vB%Exv5n( z;;|ivx~T0uh8eU8=ah+9iqH?A`n)(!j@`68n%DtcmpBd`oJ1y+KWt8rcDZXbEuZ6p zTIXjo)%8WF9@@@sZb3hP8U#%z@R+^snBN@VS)CB~UoVwDJUFPE?MgMvrxc4jV$-P@ zq>lu=Owq2QrgjGaDNTwV)$0l(!la?l+ONf{u3(%r?GQI6`XH zlSu;GM98L5Kr9d^e*iJ$V5y+;YB?-fCQP067%2t$E~8bC(Y>7~U#YV8QxFj`yx}&b zha|*GGf?JY7oLz{rM(Tg;5@2sKC6=5_e1Y{nhO`0pApcqE35EisVXb~1xKR3TUEzG zo7cFF3Qg=z>~+O{zmkLWmr!F+{x0iN-Od%T?MkR~*aS2gJe4gicY>y^I+LVABt);Y zCWwyc4MD8ioDBt_szTl)tAwSX zsHj(nLQQ4zT|8tA0paQQQJnf%NUBfp+&gV)Ieo00Z{Byl@@Ox;z64Obpn&6ozYMJh zF+@UUA+L(9on0-mzJ+J8P9a%wf2ouJKpq0!4J(#I1(&kPZvZi%dg9}=3O9+|p`@lJ z6#$2o7OwWF5vNy>2m&FYG4r|>X4%9V9Ru-PqGZ^u6|uHJG&!Bwqf&Yo_PJ* zXJ<*VXH`YElEXwG@dLnW#r~3|{yFUjVd>Y-mtP6R`exedbGvbL9iXBXqAq&wjQOee z#0fa00T&{Xl9D3Rdm@0Zj29Ha9;U*_`($nuXH! z>@4N87|W8=kkzD8<>RiJe)}uElA^r4oYTDbDw6Yx0O+m2o$5D+Qj;>crlpB15+AHJ zbHJ8+gm}T5mT?332TY_D6~pU4KDwgdVY9W+Cr~M^wK3mA08m2`Xc__+jt=*e5iB1*F_&=eP|kk%_w+N4KZxfCCB%m?AhlDPw&8q*}1i>N7B{R)z@9t3_|Pz z4ULS@y?4K#E!Y5tG4X{dp{{&;ILJ8OC8aG4_v~3rZ&`sV4MpPg=JW)gY!PMopAYg) z!tE(l6Z{P$Gd8mZS0 z6GlK&5}@L9;unR4s4NBw$}_g0UZZ`u&Y{&ko^}to65v&XiXotW&Mq!vGo8r}u1h0c z$K?&xYfuI9oh=fRvRPPIYQMf>36GDrv~2c9JCzM75n<-=eFzU|4Kp1o;c1H#RMjWj zuRnv2pV{RK$)NG)mk2ZzCnx95s1JelXce0MLT_hT8`Rm>?SXFq9>Nef$v5oG0Ee|T z$klu@An4QLQKsBv=G!?g>@aFUBZtG_U_8hOZ`vENstycQ4}Hg(nVCropPsvJKXWcA zIT=maTn7a(vNXe@>{0iXJJHwP%g^5@-2h?;?6|=731}*X4D|F#KTcn~23e-5xjEgT z{42+7Nv1~RCIs}`v`6J-o~EWBTN9LU9s@s}4J*9evaxpU(}A0|$34nEY#CHsFK9U( zdBzH?4|3nh8|!#M#OrcXtU{2Xf7q%2*fY=Rv@}S;aCf}&f~`Y$xtkNW={F2o_mvwV zqPze;s1eNt5aIeYCnu-6hKAc&RQI|+C?@M(i_SLhyB0K=RlY?*ES2Lt49KH;Xowoo z2E@d?cb!Wi!u5gu??6d^MErq>@lF-Qi5b;4mNGHxk5GpkY2Fg$!x7+NtzpH0w?~(j zENxC-qQgKa2e;KQmB-!&Cr5irOI@`Owpr|_%FL6(WLb=P3Jb3aiPDLvcelHFwh10x{6=C5B@AUy&^!x<`dDpcDB72$JK zTq&ej10$n1BV_QZ%>0i}2q;WXp8TbhrZw%iGI=^~^8Q63(3Ya9y?vvI=W_o~^W* z1FS3>3W&!de~2`L$l-<(L~gX#=*!4R4eH&I9DVHZi3zrNE%Qb|})YORAH8$!4thp&C_o<6LMD~K#BapF-+F}DhI;b|`PLc_u*@68;PP02? zd4RQ34zK|s3L?80@ZM)~%=AIVfPes$Hv$&`@SvgA*@q!%Bl;TXkC5ML=epC``U$D2 zEoeC1;8G2L~D2>ggq; zqocA{Jb`_BBDxZ}uq!u>+X5#doBpwykucOhKYHp%2%yzG4W}H{8hDG>dRsd2aD|>y6ao{MuI<>gNc3kyv~D$1ioJW6ifzI`pr zZaU8CHbJ5leA1;HN>u=)DqK-f(Xpi^c7(AogbC5N#S3dBvjLVkZ)s`C!}vt4^!&{m zHy%3!!jZap(;pGk!o$P$fU4Xlc#vWbnS&hxkGQ%mZ%Qb9fjnB$e0I{DKfFr5g z8*W0tw|bB{#(Q)0d9=OSNR4;yL|wgM-kV)rCO`St^NfrP^?f_e zZ{NPv0krTWmOvd}pQgb3s`Zi}T*z4@Tn_B}`=Q6~NQAFb`|h>nhq^nf6Z0~sh(%gWDJ z7TV~LfCfkZffI5wgAP4fJi`M3@Q9%=K!%WExJ?jOHK2tcR|aAgX)619aeu(W0iK6@ z$jT!k=94E+>Ol8qfzoD>L&NpiBSl>K&Q~sSym21_kq)dY4!RAr+UA#PRk-Qt0s_I3p#%tYwBKw90ANu@AiXf*#B6+)F4uFq?`)s#}y z;tQW2Z;mtd9uF8^JhjqLm$@Q-0adgyrg3s(O|w)2THdod3pc)fM8AAyrRw=jq3iF? z4sHnioQ~`(b#ZJ&@3=K%F91ljc%eFjtmdDuZ;@WQZIox!b6RL$3q3G|5o6DJbW=mG zqfkz_yfTwv?3Eb11c+S}yypI8WkRLP=#0?CbdWNfblxhJbT8k>KqXqmG&nC#k#nzZ z=BtH`j0h1VcHLDWfjW0rrF&Selj=WiXERRj+ZS}rQhVHrVGncxOy`Zcf}M?H*Y3+l zAJ74WpQgjOefxG5+R&Rn3vjZQ-KxCeI2rxX&-l%V6xB16J|apSd zwF-1`ENqQkBMlS#MR=&Hs)8HN4&r3oTdUc2&G})N7vV_p$JPZ431#aMgc^{EXDO}p z@+@Ap5W}z+=n?+hTo3KXzd$&pXJFu8Z#nZHmtF8x8s~9)A#LNj=#tEX;=s{o@oEA& zEP5K4y&v9ZKE_OpxJz7bXnd{v+3$Tn*}+)0+%FuQdRslKJIo?PsH^!NM65I;m`B4{ z8r+@lSC|4Lu14Phw&?T4AlFHW+wb3>9h@}ETb5*RD9gbVtv9ZbOC62wq+Y3x%V9lY zCj<7q zxv*N-e}EAO>l;YR7&PwTc+e&jk3 zDsJxiaUHk!mi1KhuM_e6a25CG?(*?qCy(?7pT$uD$G$5L8vFOSPq19InOi;Uw@@@hJcTHN{j62>72Jho@-}pW*=0|&dxeRlQPG0 zNC0#!M7BjFV?BNS`3>h!t@PKT?*IzivV6vPk_`T=6Ib*d@1)uoFPfScBN1=UBsx6j z8!q`Q*w3?GuD96Hzg;L?w16`T*cd4pNPikgfW+Oq=RkBCU0#kdCM6S3%*Y5%rOAHs z?~sW-hd#@X8Fe^xg)%$+mK^sc52W-Dg{8sp&|%Qu7oS8bE=Q&5_9fOpz`y zPmiV#P@sWQ(@04bm4%T?+O)L(Qsy_c|4tE>cDG3z*areD2@)PhmeK?@I#sg}m1OVa z5k<;*EcSmU7jZv9`yjI6f@shPY&-0uQtEA5C3W?{Z{O~%FM_0nB9Z8S)zwcT1q!}T zTH1#aC#}@38;UQ3w6#4-%FOxiuFj|J*_LY)(D~NWCV%DCURYxpVluO+d@1svxuJ94 zAbk--+5Mr4MQZZ)m)8Ry=Zps)?7@rgo>sc4dn~K8Hays~e=wpDh@W*FAN<~n=E*s+ z0Y(uu0Zy#NCzSo46*AilajO8&jzU##02K5jHQx0M(rAIQh6B<7pt-I&eP~OEfnxAO zt-@+VWM^jw+$yI|0gibF3c7)@aZJx?e0=GfH*xT3Ma`U)Ga!g_jockkZy20Xl85+5HA z5UB=Q64nd7oa?rL)+D8+>AARwqNAgyCb#C4pydquT(;M-=X$Q}tP-^Np)0_aYqKHJ z_egMee}4jmhI8UkdB0wG_44IKe*V5eTH~1rwnC+D^Vs(a1^x0Wc{Z;_wB{VYGV_l4 z)Y+Pgx`M7aR7uR0bw+aaW3pKG;oi%aFELc7b0fs?uuee~ueOUGM@0&Q;Lr;VY3NQr z+T{EpjgpX%KxAkU|L^e(-uqjN5};z$S2u+M&IrP8`ssH(yQu8jftLvM?oF=BI)PfbY<*Y3aKzk-+XCXmR^XO>+7~xRM%{ zl@HB&gQFPBrGeNG;r*8}F}MKwBjYi~b1`+*)W|a{_8z&fRAWyWT2&tMB5jFxsi{4) z{MUmJ=gqz1TlFmS5vyAbwJ2}=YEMW=s*)JHy~T#ptNQ~_nI0pGM#DL4P;LM<$UwQGL)MmG7e$6(>rrB+vrGCUh^>ba}_Vx|Q=V8sp$vo^DC{W64dkZWm z5ztE|V2^{e!9fW2gI31xqXi^orRqM*KUJ;mRo?EzD08r@KG%`3BWVSVr5f)?7VV-6 zE}Cb%Gniasbx-(ba#KG*BkV>gd(}T$%z!QM%WL}wBN?|(?L^ZDySb$o@5JQTt;tJ=Rm2m~^mA-;N*}VE^ zyAvS+T7=)4n%mfto2yR>K!(5@Eq_2x4M#13^RvTzA9!erOV|cC2OrPOsG$T-ODT>{ zPdE0d{Hs{Sav83BXbQydG15FWWW;c$T$%G_C;y)L<&tOum*E87b=;k6)}+YR#GFq) zZRd5f?klw^$~%4x&3WQ=rpb?vt~RzjYELh_^Zs3+BQh}f{O8@tv`=-+qH7i|SY-@` zV@aXWP<_K)L$FSqZ(3SYOUuuNEB_9s@Vs5up3|D88&-eCT@gzR!xq`E z)OP;)#?d;jbJa66HiT=O(;G3TWqin>I^Gu{G;@qYp*Bp1$Ym`9ZV>5A_f5+3mTN$Y&(h`9Bz` zn@IJDMtRdM#*DsN)f!#40MOVJe*&8LKkg8@MCI7>g~l;IiIK04VCbL7^c+(){~nef z1jw&r)*dm6$v2kob^lZ5WAEn@ijPKk-CO~)avnz+0G-UqCv$KPXgVz>Ee=UfLO8AQxHUAlh<#_?J&Gj?y zV-Pe~G*8k}T);3~US7%=DC%Y`@fzF*w{Ym5CnU80*T;|xt7VhP(H*++G98`m6ooF} zM1RZ9nZSYx@tulJQc@&N@L3B#;Dvn}4jLhd#X<$o4dUTi20lwjJ(M}TS^8^XK4>-C zu2cmIH#M<5u9ovNZnUqnC|6&zHB)9mj&5of9V_d99^GP=S0QO<%1UQ(NRMA*L|i#X zGZTX3t1IswmRBrIj_ylq{Jkt%rp9fr#yh*+ayXfBQCACOakNWvxZH)Vrzoi&98Iz6 zroK(P0_LUv48-(h^8#9aA4MzkhK6^n&PB7?qYZ5kisXKmkC1y?tknM??|TkR4rBju zelja^IX|LX9lGFT9meCSpg#GOtxkO!>ZpjG2-aTpNM<`h$K0&xiNpk1fwiwC`cU4K zr96%6Jq}L_PX+IVJFX5%NJ_p_Jf`~E;G@$(x39@uHnwLqtkg8$a$(U>L4%GXz;kw57Ehsa%TU6~&vr;LCi$77q5>IZ_(^hSV z{IJFVZ|{frSFh5eDwj~NkK@juX3qEHG&4F%nTVa*=MB~*MQpxFuJ#9a2#qoZLp+$) zP$;Ku+(sgX{@T%oIBNq@_w7Stu=aua3+~W-CnZ2Ew+^Th0y-gnD~Mc7W+p=kmi+6v z^aXNv7)mEtbx{an^*v1lWyueeJ;W{J;2QhGh%ovNd|0=E#Uoeu-l>GdQQypM&$t}Me|#~wTT`vax?k#}$& z=jL9^j?W7Chh+GkyV=%KFK2bE&wjK--Akb}Z1<{}%nM>PsF}=UtD4G|QH}e)*J#xDpztxNgvz2duy@S5)Ddhc1F!U5k zua;tLGe-a1xDID?58=MDPD1L}{ly_BfXA4+(1xUOouNZI@&Mi)Tw4xy*H4;O&D)Cu z*t7|OxQ^IZSRlgTfoudOSKcflDyrb;&(DG2)vI|OT?}w5;{Aj!9zgD>NYI39+S>`h zbVEv;0vZ~~h!@$}+mg|KMOrBO}IZTwJZqi`}VFQRImF4ZZCt!^m%`{{A>XVKfXTW{`Vc+um;MOqQYZ zy=wgHg)7X=H*9Tli$&Wym^3U?)B3KjsuK0?%v1PB$Pm=@ zv~un%(+)6;hzuW8aFXLWE-FDsN;9rm9(@g;@Szuh{ z<|gLn=b!SqxyX-R1QbhBO6o!Wz;I=D{>r>Ijv@o4%rZg-($Y?N0`yYbesMo#Fl!-X z!fv{aR5XpM7-19Lc{a}wLbKr?n4$cOr?rKrn3fmn%;|YI{wE4B5MPL?^ z?(Sv$lx|zhe0*e}nz9R@t^+a%GIo#-8R{xDQSz-uXrNE?7j$ox=j{;q7H)Rs3QOa0 zg+kpMEhZGoL!GbTMT~w&U6!TW%chE*!^N6XZx0U-Gh!EzeN6_7Y~lh%KM{%}y90Le zsfpna=)ZGyTX)_q5fwzAlm0qu*TGyRAu*uW@SL|}o;b37N<1p0z*_x91ZZZkt3uh` ze^6Cyx)FnKm8xLZRmVQkcd;UVfT?!Im(o`{vTx2fkYI+S8!3^sNNZ?1VsyL#t+c=N zG}NCPPXS!*{RUSvv={t)EJJT3hWP;NmmREMAlB8n&DNd6DpT?e0U<9fVvverp?XsN6s1&7{P^}!$BX7}A(S!Fb?5?{Zjbl`co>XZ8+l%p~G`=eXK1%kuvih0H7 z;o4RZl4R@pZ@I)i#o&m=P)IKfgOtwN{^Eahg!}WEL8AX1YKE)$b~c%{SyFE?<{A|X?kHF3f|`3LN+AN zo8y!*P$W~O`!|?rcCX;aDCMG|_#7=lr?ZwZtO!Eg&Q(^T$)np)l+}g)k^SW7`wr|b zQzj4h2DdWzt=RXBP1^V#i=aeeqJZKQ8F79E)zYypOZi(27zZW_CP2MBr(<%R1N0DjT&|g6dOwRpNNH2 z{V6|Lh03nr8=qW_xnbLb``Eo4^1{bxVek*PP5a!tk*juQK2jL z)9gBF)W41mR8$a*{)HZmm(7oaoGFsEM}nz8@~^B~*M1AoTK#r5jz{sJPmq#LAC^R` zN?si2F(`2V{#=%MFe6Ejmt0M0OehK^z_VS8gzlA&{a+jaIuEdx0B^WCKn5nr=nWY{ zK$FuJeyvinU{!7FQL?9Gs6QgAoA&P=rXsp+6AN!mPuE$F5#o^WIG@EKR(ikR%L07| z8^>3F&JAz?IgrpnDi}|$1kIu(-vrSt=(rPa{N@0meI~fZXgXL(Hc6v3<(G=e(c{~S zZ#snwl1d%~x^(oxYKtBHjvxG^bGZW_>u2!Pk^JlbS)=E&a*R2~Z0@p|9-Kkz?@L$7)q{uX=#Sp8xcJwi%3r%<+xm zYBx9>Cq}*uP+UCI_J($jp{Ba_X)F1YdNU3l~t1931dLQ}asCW-%#fZp6XH6YAn zz4(pox^ph-u?Uv?o|o`y?}{V7&Hd4)PK1>?t+kKncaHV=?#U7LV}3@q zd9}sq^bS;hRHB!`MPz|5>V&a$e`g7WEoL)Je!pzxHimOj&9Ho`muRoB>HQX+x-Z3? zirz)`FVuiUJQWqD-G#q>*8FT-#PZtYKD6#kf+iG-=~1y-4u3j%#kht@1zc>j8H(|m zxOt!M&92LMvzx2_-YBp9zgG*&h#c`t^40H!r*|G&VWD*ImR>9qpu<8N#u6+H_D|DC z?mUu>PMCn}{(|&eH2sXjnRxPHe5HMvqPh>X;S9F3T2<@Q?cf&?1}k|GquiU(z4#r+4_8()jI&b(8fk+uC$s|Jc=HojbrvpY8h zkM*Kfh5Ja8=_Sff9$o`JvSi-fhK7c3VTuB=P+irn@>cKZ`9^tDwrl?LAF2lC`nKBC z)tR1vn}Qm6PUTM?FbIww?-khYX6#gicirPv-#aQGiyX$()PhMX)WwSztJ>I#oxx%Z zIQ2h!h7Qn9D%!fI_I2~vZCJt(gtI?(nlwYg8;rCwTS)dAg8 z)cOp{TCR~%%~{`=`@kwPi(%`dNP$xKc1YgFm)CztLnHc%D9|Grn1CxV@1xf;K04Tq z5_GZ*nFRgZ2YSD#i!c}S@ZrOova%A6js-4pqocYopfw6!w5b|G6ll{>X8mD&Bk|q4 zx-uacctGHOSXklCRm5C{<%0&T1yYNd!D21|+c2l)yInA|j&o5JBN>j<*Gro?RMPw<*b{S`xsljUgT1a=a4y*Che-ggG-o z6^{|16XrQ_U?ywrBgexk-3lNQalyNY(rpO7umclAIi_8VzJ7kPJ$bz7$_x#>m(l3Cn%39FQ?7#Mi+jtfHo-`ErUDHyy^>`ubSSW*PAb zWyp+g4Nc}p#F>NWmzX{=_#8tW7i5_nL4zo5HvVNVFbRSyLK+@0V{+A`<03$hnB!0C zpT7>vm71ib(OXrMSO;TeFC2pr2~}L%ZAc)f;^F7NKOB2r7#_O1o%#`#_n9kno5u7WR0|1;&^3##JQ)$-^?4XOO>%L7I<)%eUL4KWAtSw|@ zgk9uxUGxcmXq}+=bfR^%_2u=&zIcjgexiQuiH~oDsWRDDC#`DDDIf5=@kaU}b>lZu zt_KJ3^*_>eEKiJWL|}a-<5*~zC)0^W(a8NLk7HU(YzSr8W_?~q%EXtWfj=a%TBjt zNlMsv`j>DH7LR{^`Xx%}-HeaCSXt7ML7^1sJfQ zLw$+T?PS0IhRl6Rj~wX`WzBcP9aWW&M(AwrELb#O+#ES0{%ciyB6|@RO^Y-_9A$wTA?_-2Kv^`A{3Rz!IIWh1`6xd=L>M8WC+mU1k;`@>0><9YV}}0G_rg_Y-AS5Q z7B-o%`$s#wZ;!~oRm_r@`JAwae^$c3_QCYk!=NDqO9i42ib5xe<_D?e;H0c1SpWd# z@KZaE?WctfEzm)xFj=suGUIF16&tvSECm%Y5*=N$=cuUg;zAkFe)SPjUzrCs--*iO zMbkNSLq}PwNTP;|-m|>faq0ggr~XAc=vQpEp;zD`9k@;ANoBN@tlp5HN-*tMtMFca@X5IuW7lP( zJL!r3VVJSyxy-C=jd>$XqcKCXC~r>-^ws`WPWXbNq{X6h6;>y@@h_}QVY6Z&lH!#^ z>6drrt&+D)re)AR_UFg)r+`5G)I@l9U-UV2ouxaqc7I!Ykh^r1;x2IN0yWfhoV*Hz zE2vs24QpUMhSo&yTd7dc{r=ruSh{VfbXTtqg!hMAe5;q)R5`OP&Ut!fSEdAs{(U`i z!Kjp!lp2F;-D=w4On?DO!ThFGWo?6)M<>{D>9#?{^LW1tERGDDcL+BGFvAF}{M`0r zOgtkwM)*$pOC~{DxK&^cesg>bCQK>tgSHmRF%rQ@iZ^&V``#Lc%0S2Rx;2VgzU?=~k*$$3O+v-;Sq)<@ACDX#IXzV$FZyMl za?yPHi|qAXi5X0~CRAZW`(s%Y6GcwgjfdNKqI$5sF(v!^3f~lwTK8mXu~|}vNK*;B z5`!rfjITT}clTrUK)#NBjs{_oMUmHZnm>Yt4(0- z>{W;qoDkx)q6EJ%Yja1`$eXCz1{= zwgN~xGT8dnA#r2#vqh!upT-a#0UNN`VUC7_a&d8iNr^n913zbA{0N^$EeD%vT~^n+ z>tWkxYR-?wvZ>^o4D{1U0q83*&XQfk=8N2h$o>LXFctqd`A@)u5m9A7s}||N+({FY zOyqklH}@=*F4M&vICugh<72>18iPNe8F}VR4cL#bf3sG(B+YpHrf;vVq+K_c|AK|mq$PSnW;ugLOCWbpk@#@xk6*>0PZ#EUP-7kr_sWyg4%E!9|NMRP7M*phqiNuueg68j(X!EXs`^{>X=L}_7F{{@fEf{(leDs=R@(nO`+w9cbw zFcZV)ygM0*c!W{N*vIOiT{|+r=nNAFi-Y3y^t!UQd5tpreHQEtS8RJG>L~@r8Z6ls zK*&f6N(n%>2BY#0OjWTN9Z1W_Fo2Lv#3Y~5gT4Yb@wz0bAZvIC05WC(bFxxkEuLT8 z^lw^y8KYcQL5JCVB!ofdz18Xt4m3WvS$)L2p>N%7yVGFj=QtUv-i2X0AXO*> zL&NUo`AqfCXOJmLWcXxbt{WHeeZYJ`_{*2RKnuU`{VxtPAac(g+WfIA2YskzPEg7- zy|&MaEA~!{Ex#fg>W10K$W~&2KFSzoGXay*K!0V*5dPx~LkpbX6mfMMQq}Pw0VY)s z4+%jg56jlu1d->Bh`^kit6S?Hy{{MyCUf6yH^V(!aK9N$Hp1u zrJsM&8v31v-t=OY8Mo7byBZDg#7DAgp-^tyOH%Mf$Z@5#D(fs;g1G?wh#pp$kAis; zB!btkLB|wK-w(k8cOUVSJyLu(H9dXm!;X{^fBLPz`#_96f0H`4OB(nnu%G&eh8FBN zyziN(^Yu$n{J$v#_>?=|%aYmgh7PC74#}ro0m(Etxlii4 zYYI;3J-ZeCgIg%EMqQmU8(F-5?oGQ7BHabT2F+$>rJ$?0y9|(^T8c>Tl0@r;+5bWNE;-U>uoTa4^5o^^J-im(0XFuaNpKC;Lo4r-h|zzN zLWTMqF#tz6xVXsJ8yLP?=KWaSYe(rtqNe zWTd?WeMRU{!vGTa&$`M6wLJm@0&c)2!APx@wj;AgpufKu5L78xEG7*LCa_{5DO()p zWcA=`5D#JfrAr-$PPbpf7ahbX22XsH30EK@#E%pTcfy z5{(5gbDp(kU&rZq33OTH5))HQLhXsSPnn0(cs7EqKp2t7s|hy#UIS*zq`4BqgN1{j9nq?OQZCq&AFHOAd*=xV|Ud1aG9 z!FcMTHG_9xlCGB#T0e$Mt(K1BPmWlmp6NN99yOi|xulCtNvLj6E$h*=VbbS*UXDyc?wQ-+&%^zy7vG5CjH<~Ks`FTS`!KbSb#H!IS+}jN zi)Z6JiVLjeHo_08Yk6p~+7aot;-UGhdkZ~V{ou3NToA9Ehc$@g41$;vsVMyt-;0Tl z(FEf3hFc$i3FlZyg`JNa?~nEGmu0i{{l-UEUiJA1md-kyM0j!oa9*>PGGUKB?l*i^ z+Ez?HOWo;Yu3HNM?`0#=QP9U|e$56c2oD}5lm4U8j+C&o{tGi}ZCae^%!Q>eK>1+k zuvXdzxG=x6{nmVN??!#oe*R;^6)WAUCl1(zeRbH(sqK9kXXBRy+-;mV>yK?0#>t?dIct1$3|iO(%u-Gbz~WUNtl^$qO4e}`L)d7W;IgE-IV*BS$S_oP_Bo}L zJ0A;sGC0I>emy;cEO7iFGO2_d91*rB{Gffzd?O6+N$Jr6$J|dPOlPYuLLqMM^Ka44 zwlpUk@zOvnsS7p6ehyHxv!bicuWSA_D6%ulaq!tap?re92GpxVWsl;kN`9V zNjTV^P~#|wB&Z&zr6H;ht;UUMPRio1=JbO0Pg1L?u?p9pDtZPG##_1u8NPzn&JE4} z2M1JM=fMz&v=`%9GlY! zI*IBS!pTsh79A5q1Nv|;`atIVQcH*R{(9l>pOI&VMovnKg%YAA=#&CO9w!4W8zrB2 zLh3$d4;$ad8R1I3^D5(mV=G(MwMjYz<9VMNuO2s;0En-8vFL*GPKI8* z4?2v*%BFqo_ank7hc|mJKg=kpW@hfw+)-9{76Nm$#9NxXYy+*Ar%O9}8&CDvn+Jj-P*(a;??qkpv`iF- ztRtih%81;nyo?y}ORhqD-P$lVQirLNCy`ByZ!o1}O|4-DZ81^NUfM6IxGR;*=Lx|S z7E@9v=3OXAnjz?)$#!U?T4^0wIY>d+P3!4p_70WLcL`Be~jbn_1`iA4?`PDx5V=;K~U#NT^M8 zBuN#0#52!?@`k?i+eqo?gn5vIbd_vh?>crTSsd1$>d1J@WFPn>Jj<$KHI^P}A~rEr zs6{?M{W)HA2y9T#W?3A2D)dOe4nqPnDVhpwxzwI1zuZ%Q1n*WFHtGu(0x)q&N8kF< zz`O_5leDz!jtk^rsrlpgauES*m7MqS0zPhBb2IF4l=-slKUZ< z7wW2j0Qvs3)(*CM*2?9hre1PCjYOu^A6{_{r~<44V6NO6s}Yf zp@Af;Ay+$H0Hhb*Qh^}coyi0UuN z-rT2`U6WGZrP!y}f6i9E*WmQ5&W%a?>y12_6Xe-eNr(uk2=Qs7w7+#|CiH9bDE$1Z zed5gX?;H6GJqu!aRMrd=3owujV#DLbO{%QkcW>A}r!X?Oz0%&P*1D+KgK{Rz+nA4; zS?xaRZ8!^vH62n{V&*G?7h-d)i$An-{QN>23OT)33(1am^cyKIroF%rKkiy%(B5*b zC1(c>MQb>v@ltc>`Ns|8KdxYGJ;$!v=UQ*HP*J+3N32cZ_}QI5x^J!Y<{mnACj4~D zkJ!Dcn+60#`%TkyXgGobRXWa<_#}nydHucjq8%~Rgw^<6basx-zA-o+uzN#dqimL> zWNm`jwX6Pj`R1l$@2+i(3+A6ZcJ;gwj4TgPT(E;G7pNGGcM)7RbeM+BxEU8*dnKk= z8d;^GbX)>Uzl7CJ3rXK@eMP_^62=uU#sk$PxxuN?T)U{%@R1#_KkrtebsmwiRFPE>uO$ZH8vK0yg$et1tUtiXN2+RDHqDr<87Ruy-g<@81I983#;udDSi4k2!h4YPERdibV`I10s8D?Uz)_ z4$nh7n({;E_j*33z7;NWb(0)EA_Z@3veV*-;XHOKbDi75Am`Hrp)^>2w%)qA0e)qs=pJ|z1 zRp>cz3ud!%S3zpvw)q8tTyWcjTmMMnwGOIUhN91tK8Jbmy$Mr3<_xR z#aWyw`?kDrVq3M#xb7`up?2LI%wgbebZ=p8Xy(5E-5_7_VauWip1vOJ5w4jVZQe&W zHAh%Bgp6`!kUOs;E)-ibf(3AUbd!9W0F4lXvOORIL>wA8*3uEjDeI&zW z<1ct|=A!^yUgn?nHP=aDcJRZnrOu3eI=XxKjXP@Q%4NUif$3ml(ihq>f+4W%Z6w7S zc^yR3M%Jf}4ytdCx$Y9mCaUD&6>42wfpHUkgdvbCq|0d#K&tdv+-M zGr!PF+phL(-GQvyXSLlTcN_fF&f2Z$?K_JcEMY!W}s)_<14APFwJJ7qj>@+NdbXf*7i8lphfa1=z3W(tIu5=EfUSlI=8aQ zZ-IS0yHmhR;H*T4|B$6?BDX~^h6a)&-RulU`a`VlYFUg~4Jh%QT^xE?@8yMfuI1Ww zMyV+c^+S1!C_UMOdav zj?UB9*JY8=5!IA&h+FCD>7%TJHk9AI=@x7Ap*PL&LH(x&Cn6dtjN{r?s7&*{y|(uI zCK;AheY<+>M^ACkwc=uxGWm4t}UaK0Jc5e7G#?1fH^qT9*pi$S-y|z)KPX^~o8y=Y@3XQaR(#U~A0hRZpe6}y-Jg66- zzr!LOLn(vC7AwWBsKM0xbEoudm-Y##*GpbABUHtw9eNLGO>K?~|(Au`${si_xm zJ$a!~MAqt~5w}_wmG1XCcrxn&T|>k9q1jssIjU!M`3>oA^(b-`9;0aawn2J1r7ctM zl$oy|M40K6F;Rl2lvb;~rWmXz=0Hx0~E)czfz{ zA3@-gVQUrjEO5k{XW{tfgtP6Jicw3}4R^1|kX0TDi4R*^bKz@Iu>3r!{^S1HPj^DR zBIG_$X})Im#*~zjMzMqJ*K-tZ&RHS{J{FWw8Lk_7rC+Kh)_xX9O<%1_(UJ46d4EJa zT7Nf3|EivD`E0L1*SDIhn(k)!Arz*bVO^ypw9e+(Y^hZ1$OMYUIdCKyo>m#_LLl#Y z^xJ9&fcywB4rmHjXxu1rz{UChC{N3e&42UcpvDpI#`g|xtK!tH96!IBW0+gFZ~V;0 znCrp(=7BM1HyNeuuFzsImW=5+mU2w1QUMIvITE2Nx`dV^x3RoSE?G(SC@n%N3`N=JOO9HY}u{CIS`n^nV)ePXx8 z*0!z-yF4;?G5a=p&;t@1>-&~RwN!)_#~xqqI=nky30<4sk52}hj~nXuXD4?AuMOK) zusiysClf8GrO6UWe|~6^J=Yd%<8?AMr>xkn4-9vlpI_b{7Qpvd_!&2yrGU2G^Aie< zpA`G(oywJI7G1gjZq{&;G`5{@;yPbc^FvE#Yz&j=uEhygRVsDfn6)iau)1g_%7ETI z-=L5_xrP!Mg|#O$UEW@|Jw(i7N$7qhk&rmyj7`FkEe*j?2ppelr*?? zE2s65l*Aq80e%}_HOYiCan@gv{}f#O)G9kKkWD@#{)-S(Y56ekk^S4ZACp}}>9|(> zF!)L5$fmCTM3+O+YeqjYxho~S;?$Jfn1Um~NxE&`UIN|Hp3bwrw9HGdjCf5$sjIGI zCwBclmdm|);{&f8%U!%~$*hfW%eHn2u1|` zauca!nb*R3<1%A*G(*J_B_U$#n6_r4Tm(UJ4Ly^e+5 zHc*a-&cWr{5;UpS{E=dw*~J2_3-1FQz~_ zZP0y9YLB&jQpxVjHnz{t_veI(xur-`%A4PCxm}PFJ~b-Kv*hY5r@k|FJUp$=DrKwm zPL0!3(yKe(?VoX1`Zi?6>qQ6Ugf zWeiJ6V4KN*?m6v&*aqkCxvm${|0{7NkMe75#Z(%1KBcj(adeV})h2XpV`lA1rB1O@XG5?oX6<_$kL5u)$R zT%XL{xfjz+mI!(^n(`2Hy}t2|XPV3p-X2R>Qk|PMKeW5ct#r%nE5TYJ_s+RG6;f8O&q(Fa%hGESHnUztqf?3J;$_+SP4WZs1uu)o-Nk>Coe*?`wKsc)1ABS^w8U z(Gp((YxDhHUv#n~xKXB>OBor;7=xFhY((Xu5U?NJMpD;L%$M#hY}i2bQt@r(&CJP9$K7Trv#}jC zNzR3@RDBKO*MTP{H&5WfN?Z?heN=IA#`mXh{?&$H5BiV;v15MkU$Vh!CSdRWE<-~7 z@QKtKoI>_B`}`yRmWONG8phK3{k`e1i_ucPe9?YU9(t-~+bDBTpmXSE@sz9FB_M9; zzjInMS>gWFX)G|xD_B>wdahl$9}NX#BYbV8$mfTuc6#W$8F?tEbc@xE)xT4nF=U;7 zFD;qTz*$GujJ`C-NJL)oZN-h1({Jed>Mfcz(W|QmByXwQRZ@pP^T6lrZ@$E`nv(TK z@9Yu^N?yO^qW5TUR@i5LSM;5f*W^)ta#je0+yU?9Hl_O{YtVV)=H#4nhH-SJ!dKtX zjp`QA%yimXbD-%n@Ie(9>OJcs2TrlXb8CUG!8YvJbVzKKLF@REdx9I)(vqtoXPJ4x zSWLVJSev~+^s&_~dcTi2qyl?YQosJ$sXKQUsrF-1T zHN^VO>a&Kz$Sp;$q|{3gf9uvU6DT2>EJmk}F>!HDQ^3x((ZezA2OX(Vs}MnY5JY>sh%kX-1&8mb(yxC zd3kAf?%YYn*&qfsy4t1o$OToZB>wwh-0x2D`g<2khWlLHC=Oo*4%q=cSPxECz)`U? zMyy}r1sGCzIn`6@)aEQZ^`D=yh7z8apTA8m{ffv=WsDJj5 zExRSBfcW0-v-WS7R?gZjzVx}ONa(#8=qv5_IOSo|ZIso&CEWAQovW>_2CmvF7;L5EbVB~-QzYS#dXz1%f+5&g|WcUMn$gOihd^235@^$|%9=#%( zLI(Quaq;GlPlYTj4n)Zw` zZhMcjv9Mf*tqir)9iIP5Z)-I+4bo1Cq7Y)kI#IGOnDL2#pmyqp%Y~obo1uT`gT^uSW%DzP84K< z86y(^4#I?@)X|~*n~y?5^Z-8N0GVF~T#$J(rIqwL$Z#<=HSICqx;VDiGf%ciE#IYKBEF9 zJf_A#lvh}IAIoxwgoFgJqZObn9~p@;DZV6F@N@@-=R&{Yodof$cSm zk^8#Lg&*}`)P@cWNs|$)VxQS+JeYJ<;?YMaKP;8})gym2EU*hS2K(ZrYI9xsflu}2 zZ>szPIWB$gmtr_w_o{uTFXUfh$0a2tsTbr>u_wpYa-5nlVwxIKf7952u;avs*?jN^kSO5;dEOEw^!3@KlUJW{ zxfm2w+p(b*A5p>8z{L|a41U3{dyQLP_7rkF$NcL=;=$_{Rj~gvQp``NyN1gpZa2G(0tu8io;bogah5! zp=Hpi=O=h}(&%LLyG?#V?dY?V2Eazs@Z7mtF0UV_HjgttQ!dx!`LMKLiI`l{iPRFF z9Z(3G$tN_?>s+vg@4w%O%|UH>mHHYL)|t{6tIWH)iT(1<}ljIrU=3OM~++>c9R~;!g4w zetm_8NA<#&Zws$HWOZpTSmVghDvLAt4HtpJ;eT{RO*K7anR3k)T+2N{Xx9Z`^c;op25iaz2ee{B6-=%fHt z+&g8(qJAiJ&M||drx}H%Y2yJ>8-c-sphQ#rOe^5g6BNAcTGprhd)-4$A&n=xXO-uJ zGPV|uZCiwiK%cfHfO|S|EX_bbUktj%fPJ%-l!R)VfU$N7*69D*{^HTGe42kyl@VrR zS_F7pj!du~C5KHz25h~`Ik_}LnF8kya{nFP*Bh{% zpTiLYFc(saT#Y&jGT`RSdrY(lfy%*V;|lWU!^e+H+f05I9(8cI*xK4sDAP-V|9iQY zn7azHmZls))5?*uf&PAi@+A{;Xv6OM3=a)0gN+F51}3bcA}>{f{#Pps|8|aaf^e;)C&~jgtzQ^1QF|Y72A_99hy~@ZF9*%rf`Th)X=%H8=vogickqz; z!Oyop&^E&y8(~i_kG&4Gg*`nzQSl;Z022s?46?^UJqCJup7e6mkF?4uNd^pL35uLg z=+vob&!5=u!{X#YvM)RrogZlyB>c#&^tLwt5{0f0S8i(?RRKpDe&W+>YKihw6O}M! zC!>-m)XuHG@GQ`+^heV!|5G!fBHVdojn}R4_w>BjkmXD;)2&cOVb@d)X=xz-ao*gl z?lY^F(1e8oiF~9wLdq@@a9?xbu^6ZvP;rutSkW>d``MrCO9RJ~Nw$E0#j#)AmC2Kq z@FrSSP3UUtFWF=wneer|34xkW0}IU-x&$M9%qv$(b;?)%bKtrgW`8zf&;5OS0@^Eg z{e@RQe)T$L1MKN1Q9dUY1higslm;?q&cHpV4gMhx^uY3KsZwOZG#TU3HSC=xv zg-zQkYI%)o>T{-kPj#~MYaLVnbCI4vDg9cc$xeoS0%0QeKbUwa{|1|xYUNG1o_}7} z2`a?jH}(KWYX9`_fB8qu%GM23l_t_6gaMaDNE$yfTaI}YDCs~_;9iU5QFodp5>q48TXfWBt~6B}&EBcqu9(bFP$n#l96v$lM6+auWWr`<{F z<1`%(G;zNsV>~~-pGovvjwEj&KYtzwBk|C5chwLGajR>ExHsZM z+dcj_@*bv5WQb6G%%=+GrUBpLAqoh=jFHmJkT^hq;M-Tp3;rL|oT)I<9X~l{a z_n?uVLPDZJ0PM}xYuDCIVrZ}`Zs^Am_Gxl*HSbSLX3XoH+6$)U`;;i}5HpBGhva%m zURwQJ*BT zOAwxzfhD)#%5n-g15(aQYzU>zj?H|NDDvk1m2ASPVa4R9uY@&qJin)UV9qJX^%XlUxmiEOPnpHiU- zu$TXBXYrqDyLf`E+S@bix7^`R-|5d|-W0G0P6E@vZqQ_L{5=r)uUtuL#qrbc`SYwe zOC)+iTRgP^lOr<(j zX*g=AHofbrBBVI;XnWQ}`Awk^6nynUeCI?}80rnmqwW(FJh>b=9H5NMT-W*6chiyMotHm|8?)$ zODGBultZDTq2Zt6r>BB|K(aM4adR&~*eFT<#7YBi$lVmb6YMZF@FBxvCW$A7S!wh6 z&L|77PGeYFpqiPDt5b{!3=P;Dky3&8K=kDA*gMf>NEUfnbAAc(To~}P&AwDGMxsb$ zir?q2D6O87EE^KuMsi3%0c%9$NDdN!;mz7>g_smF`|dtrkO>zJO3m5}-!xb7@imh0 zUJ}s(&NFevH)40aqQGr6gTxGANh*fr2ioDKA^U^iH0^B1XJq!beTY6?B~G|*I6WY} zaz4@^!6VsQ0sb-hxyUiA0v`M9V5b_u!R+u>5YYmOn?rQSOlH6QhVk3`Uq4<^YNmCNw&uExbfqNJ1G@4}-=zY-LD8T6f`xS>I_SXKdZN^%Zum zu5y8{O-Oj9{6qXj9}=vi=JrnA|o@B#z@CT#iLCo~iR z_b87wWJfm839ZK;+SY>PXH=6|;x6sEq`{!0>(%p|$Vvu@p+7^tYvfR?Uk^#vS^yxsa3J06e;-w8CfFk(hjw1zeJj zaDwPUjyGuhhRqv{Fm&}1%XehWnaY^e2pT;ZqI}Zh*|R&F&hh;i>>}U?G#-3O*qbhX z>pQacsUX~}Ms<@>btcV?_>WL{QS;Fdn$?Ji(P)bg8r<{bX0J!|H$R3A_TIUsH0dNI zh(xU6V3~__Q4nrXM4WEX`sk5(;)Pk;L975e(8~-Oe`QlF(|EQEO<4pVueBSo+!G*K zvQKE0kRMb-7)X$BLip*V!a$l0JqeaU0&87k)F(o=-?ln?UvG$`%(0u!+~pcJbDBlX;2z=H{i%4p$#YA zrX!%~Dny|75n(iF?9SI&89NW}!;Y86HE;9Ll_K$0kOtj{49q&E)?Fwj2u)nqZeB`j z(S16SH@!Lbsz5Zw?4Q5v^{6;_DCs}9`+=H0Nly&L5m-5kFuMD?Kr0}x9}b^e5s=gV z;@Wv!S_c=;G`z)r3fIjg%c{2MtmP;|=bJ>b*jBDkQX=Vv2xZDjb$hX4*$i%C>%{I{ z9&fT7tpn8C1ssxQ{2+`7-QIh5{Y;R(b8*Yto*rSNaPf#j zLb%FOM<*u&YeWPl03OKGdKdm8l6uY_?CqtYV5O^kq_Ba+j)Am+D)DGUuo*Vnb2 zTCVLO^_8APQXz>f7*u^#M4MpIAjwQN8w(hWXl3DJIkn5p4ukmsr+9e+!A)>8a z$C&g4~f#b!_j!E z)^7MTB^@v08bnT}CYNS0yfz>BpIGAwQu6VY+7{GZsKt8r5S~Zo1PLni_4o7b)QS3! zlH$(;_d?G@zEW1thpbao-k=3@eTN&TW^vgH-bB{l8rG)P2$IPJp8x8qKucPZd0!f~ z81Ky{S98eL$P11Y2G?>PzKZIL6K+Fez#xLtheTdqA0+B-QDjA>?vo^)Xq$B)gBT}_9FavAv zA3+3M#?6(x34ayuC#svq=v?klj|e7aO>ta}riF;nBaamLFeJ%G4t6ro0d%6@eeeBb zf z9NS>=MZ*@BG`Mkda8h&e7E}pF`;j7Wep#eO!a`&sZZ|U%MJnx8b}h?{#$IxHNs|;I zjf=6U5XW{`@qFIkBddekX@pRo?ownW@4U)L`?BrZ2h*7e=$)56YqBmPMIP>M`h%la tUwcylz0;aYe{@BrT3vsZqSJolh^$rr;kbrxN`Vyow^JT@LtAw&{T~uvBgOy# literal 34119 zcmd?RWmr~g)GfRK5tKFnNdW~#LZus(P!Z5ghjc349ZILM0hLlvP`bOj5s+?>Zl&{^ z3*B|jd%l0?*WtSM?+J?9u>j=B6F%19ENrZ|lt2*JI(Vt*hArU!yxjNzVy zpKx^yeTRSeY{Zpq&(E)+HUqf?-&);ZLHyx+b^QMae$C0s$9EwnCZ;dXG*Z96 z#{XvU`OGhT?*=qaz(N^XWh`cAumqt|!&-ZsU`aa{81<2V0tvTSTPjho~b(Vg!#lc1|!}aULWo2cv-@cq3ah#!k(`t}x`})b2rifkSF>2`%X}iV8K$IBncJ%o=;47lI62V^3Q~0?%1Syp6?Hp( z`SPXUXPZDrf;8p!?rt2sbatdvK=@!?4wo*a=U};b<+{!6!xPxpmDSZ)t&u$SZ*J%k z)6!~=Z_v7~KeAaKx5?J=zNl~G#hcbuNSzBsq<+__=gdFj&S%POf6v9Y1fE2U&hgZYy1 z0tn~x5Nd&mR-RF>M!hUm`{r;~@*6rQo;`m)J~!u|ARRg3Lur<=YuWfg-_WglFCIvG{q2Lk0!s!)nJB+IzJ%kjDKZ5O)zzu?_xD#D7(y#x zkrHKN>*{IUgO-Pjb>Yfq`!eJ8haVT)eJ~#_d&6mbMo>tIVQ^+oeF?FwUx3rj8I7+bw0O9>R*^Av)bj3X09JSJ~+q7*fNhW@Z9kydWN5ShyAt z7|32sur*{Iy1Kbpw#Xe`G?x%5cK5DdcUG^a`(p=3NB^j(sMF~RZjV!MzI_mvk&#gs zDq=hTr-i*enOvewE{mLk!uryn5~uk{Nt0<St-WT*&pN<>Ty z+r;GLHI`UT<5$SVGiT4THiyuPupxfE8qTRcrB-ZY>>4F;_3X+Sq6o2o{c;YA)ZM$p zPNfV;WNw!TEPY_R0XF6`05uBruvh5lFN66ANH@W|NCAvK#z zgV!FX7ZfPlEcQLhG44uen%UnPb;m|-z~wRbMsu6KLoRl9b}~O^=iyP}H0~6`r{>RT zn$b&8ikVv-uNEIIb4_+(E#fc0>+|1O8YDw3AgM9;Zmh41<(mz^c>Vf$wqd*K@K!CE z=6k6Kw$&d$Zddyd+;H1>xWvTNdoQwi7uKvJUNZE)J!?c$Yilh8AY^Pz%fZ3ny>ukE za)HH%ZnHO!;w3&<&$KCq7Vk_)ez4$s@^mqLn!T!BMKRpE8&?AXkVudwT``lHd_6qV;@ z!$lv|^3B5aO$YO8$10z%L6+*B<&z>xY-nmq>M3$`bW|{_uM4J(*C=)Bc59n2Dbq-o zw6L&96`q+&QA^hlI&tE}x5fpIu7HKd_QST@3+d%A-o90tT6i=($)?4mxT`-uGo!S$ zab6tqJONAdbX#=bOsqT2WLr-%Es<4OzA5InB z#tkCBf$6@#hO=C{r6DFMsS9iD@S~CGB@`Z>5eF>Md$&sLmQ?i&4XcefZ{vExecVdy z(q8CEMRNh71^@GP&L(`4@aK;oU(4Oyp_pnl{dv`>BMuuq>#(cO8XFrcmpEi9IES-q zhCF+Qi6)QL)zyr1T9BQ)=ZhiH2?`1#e=g>&ZEi}ywWajTjg%Ho9bRJo~$@ta~jhd`kS$*H2PpEztsGaB5wnb3dj0oM}fh3^|V(m09_LoePv!hcQnat?T5> ziyH5sbet2f?2;7;hIi0eo2VtfsfVkht2;h5g^g?iq%7LJ1r{)X!*DP$=0A|aIM z9fp@k1yc)I$psxOyf+|Yy$lQUj*FwOsjr_boQZj!o^I|v5r^7j`G~u57-uU_rhan--=W+lqg_UCv5urUg++!zYQ}=^pm;;-#st7*i z3N!O<35k=!dy5?C2f%jMPEexjVtZU9itAZ^bVv!gIlo`HC}5Fy_ipY-o2_|3QjDEl zUE)?&S<2Z4!MM1%P!wtC`S|*u92_3(1?HI!2CT2!yo4-BNF#V9#^uL74ACK*F6r=% zSFc`qX{3|EHRd|GsH;a=SX*bSY77>8gi`U*BYu~q!sV6o_u0l)%8xVDZPixF~`r7W=c$4-mXpJ%WWc3zJe-R`#BO>~$Wg z3A(_+Jj5i|&!(jY3oR}t=7mc@aGvpXW7a<4z=_?3bh4F_pCQWmX3^+=hAr+5TYmzI zYl@w76SJ#3RKTGpJGAcmk3O_Q*&{=0;=}_}1}LbhSt)qTSONk9QfLNKR5)HnN1Li_ z!JZ*SY9h_cu6kYR{{&%V^C6^WmRHD4iHL|`0ti)W+xys1h5Km_3&hZEZ>dvQen#^P zgcn1!CUbGKd;KMEX>*P-!Nz)fBE*UvGrpjBBJJ^U<$4? zkV3;-Hx$#1yF`S2>XBRGi{cwkM;R6228~RP>UdG01Y6}^t?!8S&NH~q?R6fJz zj`dAr3qkl_(%tb<9yWurU$#Aght|xhBDhpBQBjZXEJ&wg@u9+5Lx-D#<{y%nApsh4 zId$h4%X#_wLLE8G*twR@9VK8-D7qoR?hb1Xhe&XLwOX+m!fTnLl6`WaH@zOp-q$a3 zOxxSrS^y&p*6JuTZ5I^bv#21&@BpIn2HXOLeLTJVuqxVq#Mm*WJ6S0nkk9JRpV>{? z4KL{4h`0;qne;ysST3l}a)AnXJ`39;n36{^c}3s8c6w$;O#-W#Ir`gcxYN{`6n`kR z;}xD*+W;NMrtRir0fez;Xjh+1wp}S&U;|1vwpLGDFU>P7Z)nO4g~tbKwz3%|{>cY# zZ(!PBpE!AP0y07!py{B#KIKb{j1zF$vrAU)69Bx7 zbwA{TZ9(Nggg}9J_vR*mLOw89AV0TR+-W+Lp?$|>sDK0;8{5y{zY;KMB@_L*vqK+}Rjc0V&70#vaAmf&S%WFUI%%MUgq z*Eaw-hCuqd$i;PD)BS*}#UR^8X>NC8;nBl~9$sE2P?QGQEVpn3!jWk?DWM029I9ns zv3==1qB6FPAxf`9IOY<8pEY@^7V_4Jv+m$Q9CN)2`KTpvOWXl(yy`?VA`w-Xk#Uq8_E^1?@}sHk9iI8696u{5U@FY|X4 z+nYlo0i;a^F)QYEKP-XMtOIvIFDwihC|M~zPq41JIk}Tc!~MXPuI3Yos9HQ9mwq}) zg_5SL0_3RD^*?f9)q*Zyih7gG%ohxiRFJZ&$~%O>$x@;IsJYt*JGr2$2rx!2)ur+$ z-AT-ni}xkv?n@&2@d6Rac@jwTAh1@*YTM(!fY}5cvv3IsNdXjurA54bd-WZsF+B|w zXXegp5=mmx7Q0Z}pF+I`ael0ni7I8SRS=2UC6fD)Vqc|PqA85s}7 zBqRa=o+<4_wX8RBv^F}#2;^Mg0nE2q;X z%+1ZwUqF2oqH!3**oRp565r&gch@V^9v44^&628?9|uRy=<9oofqe5&_*MssE5auI9^<}M!E(`p zi9rVJpCB5cfq5Mg84sbrO+-Ss(6>jE6M8R!>i{`dX zmWBIymgyR$#N_0DXrXDctq;2J{QGx3lm4tvof|-&uEWJX5t{k@C?0vQI^#{nVSsP9 zG~f;OP^m~GSuqu|PU4fTxry39z@(<1&~%96s8P2)(=diqG~Teu%@*G16zu}MzBjkw z)Dp=mX4pq?o-q3&mG$r|OjW`p@3a*_{%`x&+OjW&w>-qKTLv`y`E~RfV zP^^*5GoP-hsfY2qY+r}ynHLVniQ}OuZF_C9+i4j-F}14l2PD=UC)4*IGp;c+S2cxQ z1N5e2ELHAykb&kyed9Xn{*r>z|~s-3OZff$F8KMrIp*GR_4M71QHkV3kj+7 zrFHXz!wq>%xu-u<*LUi0AP3;z{)+oiHAEu=BGl|;GUp#?x^$R!e=hCA4-OpJC|+&r zgKyvDzfVuAw$-1k_@S?K=r!T*@2{BeP0VZc9XBp64*AnW69EZBDJNJdRn`06Yet2q z!=2AG61zSCbLEzOQ3jmA%iCLl4?`>gXgwL5`e&=sPWHL^G_~jrsK+0Yo}&hb4d89<-WP{9phs4J)4P0EfAodLa$)lr(~uvpvMOZKKc{-i{B z^(kP>>yfR>MK)i$f1r>!AWm7x9AL-T@^T0^9_f4SYM=1QrQOY?Kqyo=XtDCfv>ht2 z?1K~KJvrj>>RD}1CR<*EL`2gOCBMz*sT=u2R(M0h!>Mc^E_qcHuapHEw7&bGl&%pz z1z4HaVO7gJdqb%gsQ7hYTk8wGM4E0p`rf*)?uV6AU_P|E90+-Z{L!OF-E20^%&b*S zA#XrDDglVc-OJ9#mPg^q2HOA*r!S~OHglb|Plnrt_gbFVEko{n5gu;fs0lyCPF2mV z0-9wS5bjt40zEU3-^Sx^EP494}YqK2Gr zAYA}+lqF9mp~A4Sk`>;$R2M=W2>;ehdoJh$P}71X+Fq?DT7yg#56sPBXDZ@`_4ES} zptQd?yjUbeSfeO6Xb+p(lkuL_c?`nV${w}~IB+W@bw5!xC;Iomh@ z>O1ig!Nh0J>RzR4ipiz9a@8%ybyKC;SWVBYY{vkfikBE-$^xkNYo@N`K7d1%ohHb} znq6h{cx5eb3js!jpeZU3(MDV?Gcz_TYwK(0JkYC0Q9IyM-H96i+0IXR@Cy<$GGDHz zJr}QD{i0gT`Q&ENw-QI|2eHD`>7|<#KzUJB3f6-LsAO$~rrW7f4RaOy>6W*sieuMSCJCFaM{0&El8Dm?|g^ zH(;-U5J-3R>Zz5|EgHCzwdqK6RiR~IT9qH~y-tzfGW8D%szH^;w;YD_92{ps8?1r) zcbPTq`LkykT9ud(ww_QO1TSGOlgh;b0 zSU3!j1WOKg7mPYTo`TY7nQS|l`_vb>hgw_Un>TO#0CkR`iwAY}L)Y9Y1Z^Uay-XB9 z#2N@<$}}LksGAJt5uh|4O}Q;C56}$<JjWrDu(9EUO7H^SGgNpN z7g#g!%>0ym$Dal$5G99_P*q+1NM7Cx?rH*ni8$noR7N>zzY>!PMgvvi7 z1n#5#c1pQG=2WSm4d{#>RgQp^0e^Bz6 ziLH#3CYKZuJictlzxm?HBmJ{10OgFjlfuydrc&1P(oX#G1hi>P4`9II`u#kkE({>Z zFaV44&d<*`8q7<5!*83!Ycu;oKiYY@P|^u;g^yraNYyOYfOGJWJXm6Ud6^AmEV`jW zjBT+ZnjcsV+oDL!%*@U+KISB2(m*i`Dkn7f(uBD??R{J`+ zn4aE85MbDuQ!&6+8X+fn06k)$UimRfzwjlpLm-P3~u`j}pUj~k|j9q)5#QcYx9I85(z7c|-8V7E#sMdla-r20dFF@*{gtDs2 z%F0c%lknSaQJ_ihc+AaK4EnI~Dz1$!Ea1KWP9Wc(`y~Bjc7G7?2k1&Q&F^N^m@rqH ze18*6mHkqe+iJ6AI??sZn}ce%@8`c5DYsL%6A;w)9d?ATSSrc;1e$OnUOvOUBzjJ>qwNELnBUQ{8iM(d1jYCM}@7j6F6j zXk98rD9H!Sl#hm*Z$@Dv>t@5a=0l{xb!9P%3u}9kGZ;1$Nl7|D3m+W+J944b>1~+;?vzKVWg*$x$6+9x)6u>WbHGOUR96lIIY>WMu`tOW_cGKs zS}no#xZBz=z9?Jj;j36PrYym>&W|mtK6+Aa*ZWqY^{`yAI^pjy2?|DWw3}#gTm23Z zp8?iutGS~uw&=R*u$*AGy&99oa`?oL!9&K&-Qw?UcKm|wOO$jcgm(l^rSC@}uT|cw zV6n4Ae?1kgy4`&X?=jACpSklRo+G2+MyrNNpZiI~!d2{S33md+e6MxBbu$(1uRn=; z^LplnsW|>0SwFPDF08g>q4)pTF&}`DLcT!GXZfGTGv;JLJ0l|Fl_mx*R4B4 z^n#gA?A+9Xcu2vQI~S*emyviT`<)){HcY!SQI3rNIvKDjl1vVzn`)%ZO=}aL8){p0 zjZeK?%Cx!7MCxwqb({(Gc#@b`m&4Xtsa|H9RvtwtutV2h$ z=fr*}7)6K_T;|8MHeW($iNcv|gHN3$A?Z-apX}ok+*iPF(<7^@miFb#7t>Mi)uIt` z3@cb?8T<3kbAku!UCQNdLO(!WFS31#;slU&QhO$IxdR(axbLL*4i;Z{_n-aTX2OjX zKxlqsdBS|(jywrb<=L#vIu+fK@MT5esc%nN`BJ66B+?!$5;{`qtP34U^!+h0F#+n} ziip$;W)~1+ii?X2Zg~7RhF-*X8(S({R)};4JFF3pj_AnAPcL77HnixssxecyBV9#% zq*PQv07K$|gMoNj3&blFNNsjpJLxLJK({LI)? zT76X}b*7QJB&oaIMAnydwR}S0hqa*eqMCUeWN`;Tgf|?2=*{T@D}1D^Y*ZK>9Zm3F z?{2Y;YH{2Z5OE$VoY&tc`t8DnyL;?9t44)V%eI;fCRtpI;#Qc% zeRN90uq| z00j@X6@msYfNUt9;~-;)Pf5g+z}wuFlDea+`cA*FboU%JbucsvsCX?ZvQijbA*y#I zBzzROLq-w@24vja+<4vgdA*3ke}@Sg@fO>w+EVUOA7pb2qmLt#l)5C(O=&nMC!H^6 zP_uspC@;L_V;@VO7BU6=4Aa1%) znSm}Bx7PPjVBiD!GcZV)y7-542(mnwPXvKc#Gw`VkzO~jdzr=S^NZm4tuJ|bualBM zY-C4Ok;b}?J$bdkF9ikUu=B*>b5h*o`K)4}JQWCQue-1dziZUHsSPd9a1*#}u3;Iq zGhJ)j^SpY~q?Lp3>!V1PzW&jep{Ls}4E@N;_V)HqOr8ZM802TpJX=UBCIocyLBC&M zrQ|uVuM1bNUhQ@wY(tGVS&Al#nMRY^CD}VykoS+@lQc8h+*bAojaIWeRbKws;mlot z-`DUlXoX$K>FDU}o^*tf+`cFvK*^@st`vaQNGJf1c+`a=zoobYxgXI=t=Z4yvaSw4 zFC``&oBYvl6x>Ye0Sx5I;m!1jVt|wv&3ZNPPs8FQ*C&{;k zW$zq}UBGvKdhJlilBSHtOqu_~Sq++gjF{!iz7GqmxK+Pry%s%YmSuZ{;Hanpk(ii* zA^`eRlOY1j8TMVE3sdmnY6t@FBbUNX4G-%V%2AL*;-AtyXgCJVUr z7|Oi7!*450)TLN+k(&<>xt^&c)k4)nN@G@XCZMO#24nWYIq~tgGnfB;m0A56N1QS0 zrDXlswbz}B#&a{NZ*XRPv2j&usv{{_WEmT%Pyrb7{mJRT);Hyc7sJh^FcC2vo{Cq4 z0(1r1LVMhcH&^!ty_r0Dp+eofd6T!e>Eu5!$9mI5CZ@UijeVY4KzXC{aZlfGhwap~!(HdwN6uk9SKGLM z%CN1DWQ`oPUAV!@+(VK?X9p@}cKg z#+Q4$T(v~63EB;FS@c@t#Kr4k%w9St?%84VeUbU!3->llg);J)VOj7UvzHeLN(mfX z)g|$bx(e#rXCCzPVzptGVMf8>7i&wX(5qXd-PE0G(?dkJzWO*kbz$O6T``^s@1}8c zw?5<7MSL58W>|LezX6A2`*cHpV1fP|cgoOPd~pmKnr{@>4twJj14Ja->-xbYbtWl^ zo|QHDe|cHkbmVZN#m`se7PAis_gw{7caAnHbbIqX)mW)l03`A<&|m>z{9g4VAYiR( z;6OQh?;P^penG-vGS7%}(>CUDnLNoc2q3fFen6PuR*2(o$bLH!>GD;7{sl|zPWq%6 zfnhx?%9Q|2cX#);v@Fkm4hYp{SlzNio(tJMOOl@V#C0`^N^G5()G2#Dw`p`e%CbBk zh3$gP8;EY%*4io^!L7$sWuem8$a*m&k{-H%>rP7~kiR%TzQqGOg+N0`@))81I(<1Y zt)AaZf|P%d!Ara~634z!4vf9_A5Oc!mbhV}P5=n3GSH;?ufzH#I7%^_-UVgD3xk;Q4?O2vW({`j!wpQQM?g2Jkie*&5Z(`_q;T6ABl9b{f3QD75J&Q<|F=v zQB)fN4#^(LR9zFH6?>^7o_$h7`R0eS{Q0ZdYLPjw2*SpIh#a4tk6dIwq#c}Eh4-_L zIFYekKSl@B2a?~?XUt~8jd9A$`A*ds!$GL25&Lh<7o(+3tVqqAo?dh7cc)l(!p=4e zsc^Qp?GRftTrp{&u*VQMMRy`AJDcx6M=o25`!=r2daq@RraN(Ml4zjMMg{;UF)nip zg~3M`%FJ`T(X;UqtGVe~)!F2&iF~hY#6z3^~^k$K61TGY?jaBE5Ur9U9* ziyOBw@Xh!IMFcVJH;pQrQy+yXBmAeLWqhGN{`Z>G6uAMG9roxtm{!yM8tlOra z808tLQmIh#$cB9~`$WJ#lQ=YeB(T-D69Zx3KRF)uhs^i+ z7hvec`J+r#x^zBgy{w~iE5Fp@#BqjtUa7T36h`__PEfba;)CKxlp1uarI7`xsL^1( zVXds@P{6mvrird^wny{{L#4)ly+WaXzvzh5%xQtWCaUFGM;F1$NIy1vh@Z{w1ku=@ z#8X~OxMBJFfB=OSwOEg-!B+@E{hU&3ZYi30C?m#|Qi3fIJxPzK`5oDy>MmE7$&n$* z>ph=|#t)|27Lzi(S+r$)haB#QE?~EURvN4kWavvh^`FKQ^7C{?zx*n1Bg1HUtDFd3 z49WJuKtU^r@6S7oYS7lM!`j3XA(^Myek}$Z>rOKwAs-q4RliNRt3P4_C-i8~i$xHd zQ)|_rAl!yrWM>xbYCPo{pSxo2Y_Su25qxho)b>N3M8ew$V9HH1nc!1&59Q@g^!z;k zPe`JOF@3wTuJ1;dv(}Ct9H@;a@1@!9OrU$zatG65{@a%VaP3{!Yan*!nF@fU1wA!U z1%?0eTQgIW(-Nh{SbK8W9bX4MWEpL%gD3~99 zT_7VR1-su@D**szqKz-?=5p-BAHDCId!LllolX@kgCqWk&Dn8h?nl;?Xk&WvkLC?0 zAunP@+Ja7QjpZN7!%S+X>Gxty^e1Os0STY@bN>of1A6-!)3R?d7Y)5=}6$x_t_U$q7 z!a+0d+_`hg;l94UVBn%>V{4nQK1V`=@x0Olq=95^RPFZm_Vx=7&ZW})(7QkaWFRVv z3gDz_4{8O})4K#NM_&L*%Hfp35|CRMpce~ms_?1Jc{$L?!PR0hR)Nu+^=|zt3kyD2 zx)l3)olxWrZCA8QNqk#5%MwUcj~(-sD;0niSr06IjyYCjaQ6C_guyv^yBpz)ZM83h zT&^IyINx>eGr30zyAhX}h4d#D^~qRTT83{0S88QEjRpJd38fi;t!T4u$Y~)}5hwm# zt3h+Re^pi0X`G~i{{wqi%G+XRVcjnxyDi`Fiz?hxP(V$p;7ZQd`?YNH>gqvY>5c=s zsVI^}Rftl;Cc{a5*Q7bST{cE+_7nk+5_%3mJ{cAdoVTYF;I?Xn73_DWHi28vL1bSA z3+??G7KROG*oc@D6Is|=pnG?x;~}Web|B9*5PZB8@QLX^_)wtIz%_OLylxL5rBW0r zDJ4rN3kp*NyC&yL`Y#5KjzjiA73x0M7sf?5rit29Mc!`rYQ1M&+vhFtV zBHngVx+%eOfCpGCE;AjcY=1P@LGLc_deN(Abqd*E2o2&{*#t0+nqmJf4WFQ=?|eUm zqAORyvcP*7$U4DRJ!QUl^=N%{8!JQ7g<~x=?C#y>x^L`TzlE^S$Mys?v!kc^sqJ-N zP3rtYy@`oTp~)G40lXPzkiar@X705djw6unIJum38ogv@d$K;P-$;8UEqxu%f4@pa zt|wZ!qvTLXRUTX&x_7^gkLRD z>*{0~XTjV#L5>tw;gaH~xd9@E?b8s;<0>exQ0sq|>0cZoD%*g;t0K{zN&DNNJHwnh z%{#8us@|=w8rOp)_mbFb13AF%c_1Cb*o7nDtT$_|!YQF51V{l}+$qwKIltYFp{1dl zaYdCVq){Ij`Ofk{tq`a2?T$t7wKtBs0uSbgU%fux@Ff#~H;7k8oIi-d|7IhGD98)V zzpQ<@d*V$CW+g#s#`dgwi+M zZO#S73{5SZ-acr(cTwgJt|zqV{{?4eX8RX~EorJph5|;)_bv#vFxY6U&EIr!5DvErMfX2 zI}CtR4whn<>g@5R^-fqBvmnu4aaTYhnW5$Un<9n03Qjr=7y(yf)B)tJD$EkJOy}UG z6hA+tzD((?#r+S)%eg9)NQ^>(RR0Tz$D`ThoGc_52tM(AB-W#VRB54i}??!*5WUj)M!C&Px<*W&eJi(*K5}VA~qat+@VT008^)jz^VRr5c;+ z?_Ar|YX1*p>UaMZ+CY+t4l_v)I*j4RD3_AK*;?JOsfIPNxU(nf%oEt~0X;JO(S%S0 z|Ft)lpXkfUr|49&#kiP$?hipCymdrX3DMlL!086>M{I>qTUWxV+ z8kS$(w7LO|uqIIt3rScfsy+)myI5l{-c2mT4~2aF-9*lEH+~NCs*t7|5{Naj)lg*KSO1$AjYEQTg9n z4Qbq2eDB;yPzmFCqV@YL6*-=%YYk%-1$^5mszn!)catd?ddeK2K5BDAk@!d6g)YNr zZB$jO)L~U+7vJjEjj`;bg^>Dm^U2j(+KMe{eRO-C`0BrU=ki~~Hu)a+j<`XKDp_dy zkq|aAd!Yx{JS0>?H-2*YN3QpAh^WyJeQvuP(^&ajbNSXpf8f`v6%5bQD|2q8e(1fr zX-4r<>R5lbh1}U)EIaOUUn+3rwELro+TWECm_VU- zt;6A-gA3(rOk|dFIh4mN(5F1KzWd3%Lj6{7RCw0^4;e^$Eqz;+J0Z32dHh@d0%8`^YtjDzU(*g(MZp?=iv1JeRqc3k(QZvYg^2>#%Bt;5D&VgcUt3pS2#b<3>-(K z>pr*Y-eDe21RK&UB`YflsP|az*DQBaNK603^CCQ<_bI_|E-i!W`B<`jV$FP$VaG*y zXydfONFU*Ar+k~8lQAE1x3fgRr_iNF^_#|d%yN5u- zBp$l4+`RyG#k93QOxZ!+^LRzK)M>mF5GR`0bxT3vPipmU=s}#D%8H1HWn)(({BvKM ztz135_YSW1hUYcY$tkw-0oSbV&3EgKioZp6(MIQT69H;yLx7;}mKXg=Rw*l*?R(_v zdj47;1)$Dh;MsM{@k1tfGZ7a$0TYF=Jm7hzlyzQS!Wv9L&Bv(l)k6A`Oa@9r>%j3ex$8Oi*p{EfPxO5_ zARJ6A8j#T+>8>fD?QSq-uF4Ft7I6Mo5jp1Dfv* zEiE}zceL6`D$oY|&6}O`h??_JRcBSYGo6_C?`{X+L0I$-u<}X$UMtx2Xxo9`W>#w> zzUk$j{Ocuob(1>Z!B-ixz13F~u~oT~e0j_l{3g~Xp=XjRYg-r%7A|yJr19@o#Q#bc zgin6`geOXO0`(xdYz^D@l{j*My@-8bP0;U8zbF+0GZM50meZom%R*gZjlx_Z7olMk zSYE4MF(->Xanp8Q9`$6SYB`6w3KrE$I7QdBDiCm~s~&=BuxUiP z*yO)tA}ZM+J_)n=koVcz%F*+#er#O4)w(S?XWiSOq~Z4z(%wniqFe>2gwQFk^4orX zY>frVet>m!p6WDKuE+CpRZB4pRu5KxDrfeKIwR5z!xu}E?c*=gbu73OiDQ=eTM9o3 z)!7-FUD#ltpQ$<)iR1jUlb@0tCxx_E!7AsKe>l^R4E%|!fQ$#bu5MCClZ@0T?UE}s zCL9YE9i$O4*e;(?=0(-tABFkgh?&%#RtN_n@6F{i2sI*Ne}0hOeP2Fe`(SC}wP+M5 zWpGRc(>i{26QYD7%g=CJUu;d?-kat7#xc8AXG*;`|0d+Pn-F=e5-lA7YEbnYjD2VS zMkHqL|&UxM0S2H1sQQ zACtowmi{*_%%lfSvrs;&jflA2}dLdyATSQ*Xa!I=b%fTWAjT(Pi{#R6oit zq(C9|@0eVA#qsmHsXqQDqag;eymU4I6mq=hlUvi;@Q)Vn;n^UmRfY$1Cz#~9o zc=dKQwj|Pv!z}cjS5N`{(K%?M{;i4f-RJhMH7NNZhbcVlhKYPF6vska37lKWN`~ok zSNi*oMccnQL_^H~2*zTHUHqBh=*eJOQk2w${Bq=|woli)ejzXW&JM_}Iz2`pTz1jt zEl*xCb8T!-b|w?rmpW!tf0Kx=C*0VK9H_Abx@KeGF)7MjuWk=rudT=nPFJPOc^6Fj z>*NTYd;x+um2|n^7tQ5LfKw08Y0Z1|yb-=cWi~V=B^KcixbP*`wlE`hy9=4`u~LDL zwqDi=h%)T6;kCcfvZtr#*E!xZ4{451j%p+70V3;Ns!wu%je!VNQ;fH+br_kf=b%l5 z;A4IBABs8u$HZHz2ahvxeB0H%;*d~$!umVUt3LFuaZ-pWJ^P&$j}{P$LLi7 z9;da5qJt|eiXGo({qwW_E4C$EEc1!H^38G_fY;epHC&gkW22Y~2P zr^f#R(Z#C$fVS%xG;4LH^DW_hZoHQUDf44`LZHYo5=J+ybP&RL`7(^*DJg3xEBk?i zLm;PN?N1H8NakZDV)=>Q*;p%#F2%)LorQw4wx?q#22O%vYwQ-mKFV|K3Ni|Oj8_4M zNR>l(aD9H(EH9hN>o=(bQ}tJPvVlNO%NppOpzGy4?F}hUYdRL})7XADq{cqQo_Q#r zLjSppDg41~5F4Ev$}Nt8Ga9ejH0-g4mkbzx?lYsK-6_kc(H+dOs5cdT=VOOd#b4P& zNvU6t?9KJbNY`z?WlluvZZV@WFZXGJ`3p}rZ0FDX`+7UAF}!_zbfAwm@4n87#L0bhX@0t1@Y z(T55+^R(0b>VOOgMu#LHf7tTHN@j0z{DXBDbU098+t^7oD`>eo|esnOM3 zsf9ie;-MzMRo#r%_&aCI(-)u-2T_ob>NlF(8`R)jBMX?pD6u;BZuK49`6Pa9-cn$S zbPtKHuD+)GUl6do?)U>m=4in+(jm1_X>4o+6+F+LgNpF41`F^h=(e?vp1Cpp+#P*6 zV1f)YRobA1d5ZeIwZC5;hp@1*)q(9g6h_WEP@5#y#7%`#eH0+@!p^u^?QPM6JA$=BmEa3dL)ovwCmDcUx zfPmW;7S~~(d6SG1*8g)CmK}C3zH#hUYIb1&$lV=Cfzcd`;Ix$HIFX7t&O7PotBPBd%MI(I=XK zHN9@WJK1vfD;=lVP{IF5=D<@Jq<)r0^}_S$dJYUE-`?C4nt~Nw!?_%jsI<~xe3>%U z)qU_eV+ckRw<(2&)7)hs465PhNlA6!`5SMzO;w{ymtp!fr13SAZs*5)py(bC!N5fQ zILv;gW%s6ByNwGYgSW6YN~Vut3>bD3u#5}VT2uQR1&^DFMWtt_gXhP7pgq@r&QpC& zjTTJs8I6?i@!KupA}COY2E}z4a|oi~YRXzh$0M($tAJ}Cp0uG06BOb4ARvM7xf1ZX zsc-^xfs*dFwzZvvaiIho#n-?6WZm=9Y0wV3(xlJME~0inj|$mb84U$Dbh4(BQz^}D z+|Nl*R22W?DkF}&{hKfVREDHMEnt^(+-YdEV`jPep&?~LRFyE~)69g|=X< z@`$M3dlK`I6~7+oAi}Q1q9GZB>79FOpr==1!W|Ej6^hM~oW{>!pkctJ1s;iV-Fb8Ibo18IAP#NpD_u|U zWrLsn8O*++M6Bl&K0X-6iNQJjk?93CFty?a;m)-6wcN65SIm=knjNB9BQ zmamiJqiv%n&@iEX2(=FSNzG)1|2HY29rz7iD7=qT^W_E`oWoXPbf3dI{U7Y_KAiRp zDoH9o;p5||qmx6%mOzd5uCHA7(_(2fA+4~9BjIrmE-|a0S1R_2t^iOtm8=`&Fw=)l zpN-9PTH?PK`k0V_+6%Y$R?1m9LNUhB5g8c0^@oL%cL+))sem~{Jp%*P5W0*RT&)KW z@FkJU3?5V2Xm4v8cMPTjsLW1eG_Y9Q3=&`=j9 zpU~$UJU!q#I5>dTo+V7-Bu_y#MIUNmDqIIo{{fbNK0KoAWpn4839W`>VY5C?bGW7% zcjWl=v_Up2OjNqW96KfDUvm$rYN&9B3?w$e9}Er;51Sgq*9xD1(_*x@&#t&NJX(G} z#8AD)=fH4vqLrl2g_k;#NFj=s@!BD#i;&j3O?5$9CHWv1x!cANtELX@>hoEa8z5d- zJ+FL7M~OB|O_|it&Y{Vdd$CQ1@wvitkzoa~6g*j;H*x z^iCnr{e|fROt__L7;;K-5dZf*L&vR zIn4Xyty=X~r<_h1j0{NZSxoMDdYCSIMM4bc1GxBp_R@+Ki!%7+JPkUzfuGyQL2q?p z|1j?-?pT>?#Ni8CUJC?rao!MjWb5`+gyvTmNauGxsHbtphv&->71=EXppV;uF-!D$ z4=?~VzsR)^a6GjLvuNINyhootv*BdF1hF%T`Gt!x5g;m%kst4t1jJng=}zZWwuR&t z>DRe)C`&(b&B8O|$Da9l->pxGFNc61o2SByh@ILF^zDc=qQhDdru6r|71K;7--}l} zeVt?5SlJmTQ4kLK4U*9^*_Vq1K^BR-0`t4DL6R)W;UNS1Hfd}_c7vvOWo7H}*h@TM zRtbIh5X|>VdHd6aKxEN2a7gNVsW-vuJ0_0Thq+|Cz^;*SlTyikaE zO#bw#gg(gLy#6`xY zV$ZNFj2zW2-;Yf;SyR&JcUn_+Vl&g&RSF((ewt|ThChRAq~GP-WD&PyXoiI1mi;MX z<@lM)^j7-s-eB+d8^$U)9l_9|YnbXp0XPMJ^-L>Y!nneFX{0zAXiTCrz7^mjM4dmBEf8p*Znq6 z=X}qX)`3@p;aahf3O5V7Z9o z=6748ewXDv7aj^H%8b22I^I~r+cOc|m}5yGm3DygzaD=iFyC9ry~udz5Yi5k6Hq=bc|?BZ%hG{XD1OFoF9L%Q{EJv`9-* zMcT&)DF-WA`fm%x$#Z69*B@KV?Z3Uj)Q;uRIzfbNMmJ>@mLxdkKJmJGP|f_<@P7IA zb=;?3OB^T1x9ay8KEC8RCw@!sp{w*c_x%Td*@JS#&lY=_o+2WuhdEoznP~g_?5z?J zP(#3pQPJKWnw{KKsM;^qHh>_|ZI@`zkZ{mmg7Hr-X%|cPBSnYZNY{cF=2cSA?$D$)KKRpa zpua1{apbgV)RYM$b_zPms7C%`r~~|4#N=2MIqg@&^3#`H$fVPwow{djMssO+`BjZh z->&>peimuN>0=t3g{?;_hgUp{Oq}-fSFTG7Si#7obNKjyn8Jyuk2v#ieXL)TDOSZ< zA(F^(B-g9BoUp7;BxOX}|U* z4jb|Xtx<_$(hat1o-NZ-^dYe{pTo^3!fLN5x7BY|y)yAjg2$KCQ&VCbNrP341>KnT zaCgaH>2IaQ$|)Fs=?1h5ym7aycNxfTGDxW!^}YSq+CZ08I!Fl)@lnZ2?^^u$xi!#9 zXjpgGEkdt1C1O>s3g4&zGuC74#nVvak~AARP^fC@*N=vSTQ zCMr4J++%BPMVI@%`HzkQ`sXym1i^b=-J0Y z_S5c{3AJp&t}ay(Rm9Id)tjkR*>S%~-cX_YYKaWl1k$Wb7Y^Kb2mQ9H(2fqC_)*_d zx;b5V!Y4acBYAn&;N$*u7>evNsA2}P!x`fbG+C~}gN|eUIofr&Z9|_|%GLKAeVOI# z*IzSYyv=7-u4L*-2ZjWW`~icbdrai7==+ANr!>7{Zyz7HwCB(J21*tJA(TnAi3O@^ zQ%fn^M%orGQA}Ee?(33byOkbj%e78DP#+wd+UtEC4Y9^Z56ja@y-+?x+G(zs>b;}N zHa09!6Z>xX!u5gWrF<{CKXh+m#FCoLZSlC=d7FK&ZdB@&XNLE5Z*5h5M+RD0{gu<^ z5{eECRf1u?UvoJh6&Bx>pE)$mwtLjIv^H9QZU5uMzDZ_+`T&wB8qFRYhv*1P10dW~JE?q4n1BkA^~s-|@yfV1ajZSm5VYnq-sQg9H= zJ3@-F%zbs7q|-<*D528gt?S_}CVOU1Xj;OW+C%*iuq%wGaA>&!=Ps@$+^6~QGW3Du z@aeg8q&BQ|u2OHZYdqP*BllBL_R?&$O6fc&Pg7TO*R^x~{YR$snRLZ57~WWo6bH%| z#12SX*%xfb3cwDtn4Z$qJ4@qFmfQsgy+e9Yx1?S^DAIj<|S;R!M*{>DCc;Ja7$Hi{n-o|JX?HyO7 zqQwke!vcqXkV4I9t2{BRklG`#ZmPP~G%c~^Sz!z1&xf+EEW*dn@J{F|>^Lo#bwNI2 zqxRht>?6rF>s5H-A9km-7zx45=1xT~sO;Yq8Cy%gK&|>#``$G{BNZ$!7Nv^3Jt3B? zA{ftr{>B;(w)b>I@LsnvGXLG0>T_17{{*r`WH&vNXF*IStvc3UIN*au5--(rpq$RQ z!E2(D$W!fZduP?kjO(x3MusVrcVp-FWlSYD|CRv}zpISDl*KQ>s;~3UUSEa!XIrf7 zPQPNyNR^VL$xnMJS)Oq#jYp;3%k0on7pdj<|G4v0)Wfo8%1XE(dZw3CS6+EOz?LkR zdR+d~G2zb4+IO118{)M7xZT9idHX=rAr|8kb#)?;-br(;RUgM+OJ9cxK@$wSvI!l=Id@ED)2uecaXv45iNDZvYEe(LhhWt~edRcyQ?q zy(^}*Y1OvK(LU` zNE|#!4WphxF&Zd6D}24`?8OpkvEx4}D9CJJUz4Bo=5B56*hfK|n6?Y7!L}Kx+18qt zVca*aVzAZORI2YD>if1(9IodWta{`u!t7INu4JKbajf&*+iz{c=M2+?7P7VCDnsP6(86aC3e_9<@UQcQFZV3(e1r;Wi<5SmK2y-^2Wd2BZe6{ z*%@t!j>gx+=L0uElbG^=udlJo>n~@qK};v#XQ(y_^>xNG2_Q;=A7)`H;7EdIvjxcA zFe}yx8-rKpmUO)@ZM7p>oxm`@?oj2vf&(JkvW8zy;&^&#hqAcmTeZfmf$t(eIK}Iu zadEZRUO{bCw=L)>3+{9)E6pWWJZ~|32mCH0Z|ghQQFb?ix@=Y1&UV;b98#xFy==p1 zu#38r={P5Ypr7xFuCnFq_sb-zgERJ6r8M7r3(3V{=#WTNuvYfsSF?PB+B2V9-4FDc zHRXPQ;Kkz8q~x!UA3r8ORnR3oa&m6d*MU)5_1Jwf?nV9}re;0kI=^Tf*E-7SV;sZC zA6f0OxK{adRkV2fL(lG{ znmf{=rCnFl%8c;=`{g48su7tSdmJ$`IWVCmUJ#oou;I*9eSY9mo!7jk*&50r0>sL2 zBBIh#$-t{HJH3jT#wh;P{+gj1Eo^T~RR^}T4f2i%hAZsQvut(i=ArrAe@msNB#B zb5p}q{iKh4v>c`U={?~PPp196toEApBFZRl&YnA6p`sdz!M9 zMlL4TxhI0X<7uISq@3JZQEO(%6dI!jOy+f(m;fcwbo~DKdB??`i4Ax7BrW;9)2*E% zOsl*1ULLDBTJ-)k?ITtZaGH^&dx?H^5})5O z*iAx`=#$(}TkN=?{E_=wjzO7y#jfXdEg5f3@|dzHXBi+@#!@jZ87cW>Go6_bjpfJ^ z^iHUuEC`P-g5-nLHj1{&yC_+&j(NcEvu#)GMT1?nJvhJSG#SqhL1(OY1`YDhxMKAh z-kug1qeR`qk=9{Z)E6BKvnb9l-!BiTgr0UWxh<3^&E4Cs~(6sPlF%wNPeuO)=eE}Qx!*ITt~5h;AEYIVlf6qGds z`n9f1&p=JNXGMq$bkhu*vZvX?O+d zGXpAGjaxH4>ii3DE9Dcrs5G}xjRaGwP^zn@69ZdTt zSRDo?_(CXOA%0D@w0P;AW5&!9h68?*WCiD^;F!YN{{38>3^i5HF9%iR_zOj|to~@4&vhu9KQjh?Qa&dL zM@=iLFRf6pcog*}Tm$Yiio?ol5|7N!bKdGMt!Yi6%JA9vNBl)yJHzx%E(u!(rwwA- zk~`nm6kCr(&JJd^AAT1P&rV*!-FTyFNcBusKfok-^t*f-U|O;f9;Zn^5E zuE*TyA$xg|iE#bX>|;@{&@SQSa$Y3Jp6xfpmK3^L~ao;mBOs1&dpIGhZUb?8DhAXYQP! z^Ic+@iNaTGpPg_X60I>CZMshNX;f!lL9F$)+v`ug3~C!Nt56m#YJU^RfGJv+bA7f& z`D3L?AwQ}mDpNe_hmx-vLqM98cw)0i?a=QD#^!hE$2K~R+i-<^F1@HPc~pg?-{wkh{ z1U8##zpyF9sl7#!?R(lPgf35YxKpl7?B^$b!HOfhUOq~2iy1l1dQJRHz_!W{stjjO z2sSg{Rr%vLY>83s*QqI1NniTAqAfP_2n1g5FYT(Y$g>C!die3dlg$`SrAwf!5eyiR?1MoY$<$?RJ@Dp8+zt`~;9hT3IR0h=H zJvL9?9d!>YJ!N80y;1xG?ru?z)gMz@-FTWBUN%^nOEb&YR>a9a^uXng6k~O;kRLX= z$YEHXpF37|CxE(T+S=vJls%ro(Sf=imh#IMio$quSK)(Xdmn7nwlCgUo2oe0VDk+lv9QN$^Elc1|7j$l__T~ zxnsB?z-fP?m@&=BbRoIbNFVkHz&01{PKbQSFV;=R+vT~#8+lP<;=z^T+K#W1PimTNwPu0A3)O_Q*aZ4@ zJe7B+1_-;P+~SlR3*cBJ=wZX$Tn#gOBIISFpBb}-3{>tpL=1W?D_1IO5`$Yr_k|t4 z;juB60V?eD`zaFcYhT{pAQifH5)@v7E3wOs^6`JDF*g06hMF+-soewK#PINQ^F&*} z^Nl~9lc$AZgc?u}%q20!_{&l_9(%*xUHtg*Wh4lp(;7h~J9aFG%<2_9Ry+l6;#_DM zqUm%E65#@qpXJFdC}?Tv=m@1S;zq-d92B2%sEX&s$@>^%#g0fw1U`F43jlvKPuS4_ zSONb8O2uoA5`yX+2@K2DIn7;-5FqH+irIcD<z2medF znoNn$pWnTm`rfP!Q6Nst3TMLZ>?B-+JlXA6NXYKC&)%M5&TT!A=##2qF@_m3pD-m!ph`#YvS#HT z-2iUoE6D~RIVSqLam}DyUaHSgUA(K`&KfjlwDFsip%MoJCE`S64&DO41g`m_Wouo5 zsQ(PC>O)P3M({4AEEsN-dBX?9F*CU8p<=*EuK|lk!Rdw zi5bK+1i&I-Q00WPH6nc84@3n&3UxOt9^9= z`8+%8!qud&IT#=FBhiJ^nf2E~NY~=LLa3Ro4HRI7O^_ zkY#*VaQ@IrnztyrlGpVEU+iyA#JPWYrj$A;CkMlT@lOnc*`@vO@m4^i&9vrzB2dg$ zo_pv=>5N#(rECKALxSSJh(BglH8%f=&Z(1sW_!$zuCo6YsO9g33U|hUXIMJ$*THh` zEHlsAIPC6HUk?r$Fm=Rj`!hpjwhlp+4K52gJO0FFnfvA}M36|m(fHN)H_Qcj{Swyi zD41p|7(AKwhd^fyVN&rweq8To@ps?Fo&UpUIakjAba;3x@+%l-RQJmMutfx?P21)FY5bUFK8o}rB?J{uOl>ZO;8|7 zVA38sbPwE3qMb8@oM*x2u_LlVVMk?{f%t&jY-nS}cb5_G2IXZGWF8T?Z&}pVbTx)` z3*mF(`N?c_lvZY5XCo)a1j`m;0M5)g^LO|a0xEXM%q)I>lbqjN{;5Xrmtu7|NQ=FM z2@I-zMC}4@wyvll(kJeT+E_TZpyTN1;lV&5`BVQJgo2X|R=IHeKf(t?3X8My_;_Bw zd2>KR&i+1#s0#Gr2?u?AASS84$p=l3~>U<*K0VbUvl%-u4CbtUS-m z{GrAs2+9?5eV(>!FEwPuP;`L_JvL)8+Dn}T z4uw0Vs$KR6xmUpqcwnY3)DxXIF7ca>ZTJ9<5w>~jv51ou^5C}5qT+MNutUJzc0y&cibrQ z3dqk0H}v7itN=e+ccuLqE~ovd7vW%fyg98%L+Se_GN<=7TJn)Vy9ldD|3^O5>{IQt zmWn3|B3`4Hq77vId@@5&nOjGX$bA0t_c*KFvK@&XM!~nhx5-@hitum z`m4mH_(nAgqWA?A5>;u1@Gp}8$#W*2cEO@01UFNHfE+)Mtv?xd&+ZC}yAMU(@es$* zQ29$H-w{8Rr(#xTUOB2ghzR3RjDA#V4(~0`nkmTsa-rm=qL8#6aM@$5 zhjbAhl-qi~?PmngD24KWSiT*`AJ*Qk0|5K4+qaj*MxxJw`MhyY&0d^ZvSVw&55lYz z?iavA<9HGk0?>gW0DO4A6}`)zo`6&n(R@Oa; z9s-H7mHH2YW*|F+ts3gqjZg?UWYxEQdNBtI4Lwgm?T6P-maJHeJ`U2w5X|zcer*a1 zf(2q~Dgq@KNKg&Q6dP0gPgC!`dmwa6B4S6I@O=uIvS!cC;sJX2hWgBq$5MY0h4`m)ee;-PtjP5IQR=X@mMED{tHtU-9t>*8X>28i~d&{RnM0V+g)q`{oE zV4j#W;}j+$BF+5$(0j)iH5`PhW)Vz!B#8ibMt5!aYFRlJP-Y)gUig7@H#=eHQzmdj zreyB#r8Yn^%rr>q6^YFL`_b5f)yQB5Q?foEu1e71U^WHKGs`+-{ol?QVE@U<88_xE z{sCq4y_Ej`a`Oj@f23^w+p+B+Eqnkb|9JHLXD;Ty9@|iE^!EPaQEVPS=(?5x@I~tO zA0agJrx#^%@>9E@{BH-BJmlaST?oq50DiH%W;x6rO%T7nE-IQKFPQFf{;?$rTE&*h zI*XQ)-wApiU|5beXEO?T;#sjY?czp(j_f6V#8w~*(ixQMbLHVmpcBMee(2JujMXGY zFoffx|H#l)ll-CXSZpfZ8cFknhW`lqK-;k?t`#x^1i$nt^3HG~#v@q^D!mh2pEZ}; z{B=G)V@gX)Bglkrc+`dsy$is6eM&Y@@)Qy(*l zv50`%{oCs=_oO$LAhoa`iwn|{?+?K&Hxu-Th(mhHdh{#nj+H(jk!VOytx8>`po&Dy zT;#IyCKhVN;oU69CKh)-EWQnHOC+=5uM zj~(Aeuql)qs0sKmwu2T}umhb-WW$i~W($4aVbU0-sPu@Q@&z-a5!o`a*3(H~A(uba ztB7P1w%{RL6c|Pu92vymo~8xQ=Pu66izrq=EcDly7B^tobwX=-(GoTXWXK377G*dw z-a~V*Cv*CWS$9=gU13Q$f-BV#zItzm=8bee6FJTQFlE7SQT<%5>Swmdu%Y`#Tcm$~ zLM4O_qjqnw&RfJVkpaf9*nJUJgxFgV2LyGop+eYy`(bpBeIL1|jtd!;&mO)(Kc$ z_{D>GeUKK(GzTB6CVqm02&mw=+{|Q)U?t!P<1I~h9g&kGQQ@Ql6f*B{n&?SoK+I+y z(ya7)gOf$j&~OOtC0U4IA#7FM1ba0K2a1EMD{X-ZQrHmn)qqivdFA2M=Y|4E9TZNu zRIk=><}TragA>_cmMIzLC-oe>G7|8Cc1SiJp|klBA2={4KoyCtC{K3`7S#7hjTC+% zsZ6B1=y5X<$_MVa?%K7-J|Wq+=%MIM5Db;QQG6o3j0W5H5unn)TBoxs>+HjjLB9S7 zg(RJm7$6H>CNBW$_G71KWMn+qVy&8D_6Pdn=t4Ll)R#g5$OB0v=pvu0D2%_^p*2{p ze5nBrpoE(Fv#xF#H_p0&e11AB%L-{WuNqsk$LNt}j$(*uI{QMxJx?)vi650G+&Q0j!P|6YSuZi>p66)U4qKTLA zA@Q{5*QKYYmpqf<^4TXoP$I!e!h8A<*P~7n(O~4Mv!Ax}sd@EiH`s0;|G6d^tdY9# z0g;c!&99jdTJ!YaIv%HJ*|07Wb9)GZmTFcFG=yz}b`Wu2aZ4{T-i>6|Wfb)+2P%1# z&1cnG&Mj(A`LAqqm51w9x}$_=nvSOFjylH8d?z$gBsT!7JQsEhMpo8qhyzpX zsRsrI<`8*#Z%rixz~f6)n*x{WZo$|IEigTv>>E!`TP^<9 z;L&9eI(v8Vy8uy;!G^y?g|x0A2sX6FS=2& z*0um5822|GL0HpbAYkBqijxp@bq&oyxzfH5KEym+TW4&Zw!@X$ipeG$P|F~``k)%V z#6a8?-@$>7GLvE4WHZ#^Odd;;_l0Gp4+in7KzKdmP93gXa0aE!-6xwzds2HN$IA{u z!tp(2XudHWXSu-DHQqtu6(htwwDUFX{B&S8iRf=7?|=RFn7yCvUB)vJe<)M%>*$f= Kha(TFU;SUR|Ffb1 diff --git a/docs/main/_modules/index.html b/docs/main/_modules/index.html index a780fc7a29b8..1e3f10a0b15d 100644 --- a/docs/main/_modules/index.html +++ b/docs/main/_modules/index.html @@ -230,7 +230,7 @@