experiments/STT-tensorflow
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Make "Neg" op hidden from Python.

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While this technically changes the API. This was in the TensorFlow 1.0 NumPy
design, so this is a bug fix to that plan, rather than a new API change.
Change: 144898546
This commit is contained in:
Andrew Selle 2017-01-18 16:34:04 -08:00 committed by TensorFlower Gardener
parent 91a6f2f4d6
commit 08f6070054
2 changed files with 4 additions and 3 deletions
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1
tensorflow/python/ops/hidden_ops.txt
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@ -237,6 +237,7 @@ Max
Mean Mean
Min Min
Mul Mul
Neg
Pow Pow
Prod Prod
Range Range

6
tensorflow/python/ops/math_ops.py
View File

@ -403,11 +403,11 @@ def negative(x, name=None):
""" """
with ops.name_scope(name, "Neg", [x]) as name: with ops.name_scope(name, "Neg", [x]) as name:
if isinstance(x, sparse_tensor.SparseTensor): if isinstance(x, sparse_tensor.SparseTensor):
x_neg = gen_math_ops.neg(x.values, name=name) x_neg = gen_math_ops._neg(x.values, name=name)
return sparse_tensor.SparseTensor( return sparse_tensor.SparseTensor(
indices=x.indices, values=x_neg, dense_shape=x.dense_shape) indices=x.indices, values=x_neg, dense_shape=x.dense_shape)
else: else:
return gen_math_ops.neg(x, name=name) return gen_math_ops._neg(x, name=name)
# pylint: enable=g-docstring-has-escape # pylint: enable=g-docstring-has-escape
@ -861,7 +861,7 @@ def to_bfloat16(x, name="ToBFloat16"):
return cast(x, dtypes.bfloat16, name=name) return cast(x, dtypes.bfloat16, name=name)
ops.Tensor._override_operator("__neg__", gen_math_ops.neg) ops.Tensor._override_operator("__neg__", gen_math_ops._neg)
ops.Tensor._override_operator("__abs__", abs) ops.Tensor._override_operator("__abs__", abs)
# __invert__ corresponds to the ~ operator. Here we follow the numpy convention # __invert__ corresponds to the ~ operator. Here we follow the numpy convention
# ~ marks an elementwise bit-wise inverse. This is only implemented for boolean # ~ marks an elementwise bit-wise inverse. This is only implemented for boolean