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Unveil type check part in _VerifyGeneratedGradients that was not actu… ()

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* unveil type check part in _VerifyGeneratedGradients that was not actually used

* remove the block that's not getting used
This commit is contained in:
Zader Zheng 2017-05-08 08:31:50 +08:00 committed by Vijay Vasudevan
parent bdca561c27
commit 7fa0cf39f8
1 changed files with 0 additions and 22 deletions

22
tensorflow/python/ops/gradients_impl.py
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@ -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):