diff options
Diffstat (limited to 'tensorflow/python/ops/gradients_impl.py')
| -rw-r--r-- | tensorflow/python/ops/gradients_impl.py | 22 |
1 files changed, 0 insertions, 22 deletions
diff --git a/tensorflow/python/ops/gradients_impl.py b/tensorflow/python/ops/gradients_impl.py index 2adf8f05d8..bd8a5c86ac 100644 --- a/tensorflow/python/ops/gradients_impl.py +++ b/tensorflow/python/ops/gradients_impl.py @@ -273,28 +273,6 @@ def _VerifyGeneratedGradients(grads, op): if len(grads) != len(op.inputs): raise ValueError("Num gradients %d generated for op %s do not match num " "inputs %d" % (len(grads), op.node_def, len(op.inputs))) - for i in xrange(len(grads)): - grad = grads[i] - inp = op.inputs[i] - if grad is None: - continue - if grad.dtype.is_floating: - if not inp.dtype.is_floating: - raise TypeError("Gradient type %s generated for real-valued op %s " - "with type %s must be real" % - (dtypes.as_dtype(grad.dtype).name, op.node_def, - dtypes.as_dtype(inp.dtype).name)) - elif grad.dtype.is_complex: - if not inp.dtype.is_complex: - raise TypeError("Gradient type %s generated for complex-valued op %s" - " with type %s must be complex" % - (dtypes.as_dtype(grad.dtype).name, op.node_def, - dtypes.as_dtype(inp.dtype).name)) - else: - raise TypeError("Gradient type %s generated for op %s " - "with type %s must be either real or complex" % - (dtypes.as_dtype(grad.dtype).name, op.node_def, - dtypes.as_dtype(inp.dtype).name)) def _StopOps(from_ops, pending_count): |