diff --git a/kn-cuda-eval/src/planner.rs b/kn-cuda-eval/src/planner.rs
index 81414b1..ece59c7 100644
--- a/kn-cuda-eval/src/planner.rs
+++ b/kn-cuda-eval/src/planner.rs
@@ -17,6 +17,7 @@ use kn_graph::dtype::{DisplayCFloat, DScalar, DType};
 use kn_graph::graph::{BinaryOp, Graph, Operation, SliceRange, UnaryOp, Value};
 use kn_graph::optimizer::recurse::heap_recurse;
 use kn_graph::shape::{ConcreteShape, Size};
+use kn_graph::wrap_debug::WrapDebug;
 
 use crate::autokernel::gather::GatherKernel;
 use crate::autokernel::layernorm::LayernormKernel;
@@ -327,7 +328,7 @@ impl<'a> Planner<'a> {
 
         let result: PlanTensor = match &result_info.operation {
             &Operation::Input { index: _ } => self.alloc_tensor_shared(result_shape, result_dtype, Some(value)),
-            Operation::Constant { tensor } => {
+            Operation::Constant { tensor: WrapDebug(tensor) } => {
                 let result = self.alloc_tensor_dedicated(result_shape, tensor.dtype());
 
                 // copy values
diff --git a/kn-graph/src/cpu.rs b/kn-graph/src/cpu.rs
index 692a243..efca81d 100644
--- a/kn-graph/src/cpu.rs
+++ b/kn-graph/src/cpu.rs
@@ -5,16 +5,17 @@ use std::time::Instant;
 use indexmap::IndexMap;
 use itertools::Itertools;
 use ndarray::{
-    s, ArcArray, Array3, Array4, ArrayView, ArrayView3, ArrayView4, Ix3, Ix4, IxDyn, LinalgScalar, SliceInfo,
+    ArcArray, Array3, Array4, ArrayView, ArrayView3, ArrayView4, Ix3, Ix4, IxDyn, LinalgScalar, s, SliceInfo,
     SliceInfoElem, Zip,
 };
 
 use crate::dtype::{
-    dispatch_dtensor, dispatch_dtype, map_dtensor, map_dtensor_pair, DTensor, DType, IntoDScalar, Tensor,
+    dispatch_dtensor, dispatch_dtype, DTensor, DType, IntoDScalar, map_dtensor, map_dtensor_pair, Tensor,
 };
 use crate::graph::{ConvDetails, Graph, Operation, SliceRange, Value, ValueInfo};
 use crate::ndarray::{Array, ArrayBase, Axis};
 use crate::shape::ConcreteShape;
+use crate::wrap_debug::WrapDebug;
 
 pub fn cpu_eval_graph(graph: &Graph, batch_size: usize, inputs: &[DTensor]) -> Vec<DTensor> {
     let exec = cpu_eval_graph_exec(graph, batch_size, inputs, false);
@@ -131,7 +132,7 @@ fn try_run_cpu_operation(
 
     let result: DTensor = match info.operation {
         Operation::Input { index } => input(index)?,
-        Operation::Constant { ref tensor } => tensor.clone(),
+        Operation::Constant { tensor: WrapDebug(ref tensor) } => tensor.clone(),
         Operation::View { input } => {
             let input = map(input)?;
             input.reshape(output_shape_dyn)
diff --git a/kn-graph/src/graph.rs b/kn-graph/src/graph.rs
index b0f13ce..7bf98e8 100644
--- a/kn-graph/src/graph.rs
+++ b/kn-graph/src/graph.rs
@@ -5,15 +5,16 @@ use std::fmt::{Debug, Display, Formatter};
 use std::ops::Index;
 
 use decorum::Total;
-use itertools::{zip_eq, Itertools};
+use itertools::{Itertools, zip_eq};
 use ndarray::{ArrayView, IxDyn};
 use rand::random;
 
-use crate::cpu::{run_cpu_const_operation, OperationError, OperationResult};
-use crate::dtype::{dispatch_dtensor, dispatch_dtype, map_dscalar_pair, DScalar, DTensor, DType, IntoDScalar, Tensor};
+use crate::cpu::{OperationError, OperationResult, run_cpu_const_operation};
+use crate::dtype::{dispatch_dtensor, dispatch_dtype, DScalar, DTensor, DType, IntoDScalar, map_dscalar_pair, Tensor};
 use crate::optimizer::recurse::heap_recurse;
 use crate::shape;
 use crate::shape::{Shape, Size};
+use crate::wrap_debug::WrapDebug;
 
 /// The core graph datastructure.
 ///
@@ -106,7 +107,7 @@ pub enum Operation {
     /// A runtime-variable input.
     Input { index: usize },
     /// A constant built into the network.
-    Constant { tensor: DTensor },
+    Constant { tensor: WrapDebug<DTensor> },
 
     //TODO maybe fuse a bunch of these operations into a single "Restride" operation?
     /// View a value as a different shape.
@@ -490,7 +491,7 @@ impl Graph {
 
         match info.operation {
             Operation::Input { .. } => None,
-            Operation::Constant { ref tensor } => dispatch_dtensor!(tensor, |_T, _f, tensor| {
+            Operation::Constant { tensor: WrapDebug(ref tensor) } => dispatch_dtensor!(tensor, |_T, _f, tensor| {
                 let &e = tensor.iter().next()?;
                 tensor.iter().all(|&d| d == e).then(|| e.to_dscalar())
             }),
@@ -590,7 +591,7 @@ impl Graph {
     #[must_use]
     pub fn constant_tensor(&mut self, tensor: DTensor) -> Value {
         let shape = Shape::fixed(tensor.shape());
-        self.push(shape, tensor.dtype(), Operation::Constant { tensor })
+        self.push(shape, tensor.dtype(), Operation::Constant { tensor: WrapDebug(tensor) })
     }
 
     #[must_use]