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author | TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-08 11:29:04 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-10-08 11:29:04 -0700 |
commit | 96237f7b7ae6b7b8a2cbcf6d64312906b96f060b (patch) | |
tree | a96bb853e59dc37e90e4f8fde229f4d88b3f225a /tensorflow/python/ops | |
parent | 3f0155133d668cf6cee1f1fb362d2a75c04836e3 (diff) | |
parent | 96eec07af06f4dfc75cee57b74ba4b5347619634 (diff) |
Merge pull request #21658 from lowintelligence:master
PiperOrigin-RevId: 216217509
Diffstat (limited to 'tensorflow/python/ops')
-rw-r--r-- | tensorflow/python/ops/nn_grad.py | 15 | ||||
-rw-r--r-- | tensorflow/python/ops/nn_ops.py | 3 |
2 files changed, 18 insertions, 0 deletions
diff --git a/tensorflow/python/ops/nn_grad.py b/tensorflow/python/ops/nn_grad.py index e1a01ab4c3..902653befc 100644 --- a/tensorflow/python/ops/nn_grad.py +++ b/tensorflow/python/ops/nn_grad.py @@ -389,6 +389,21 @@ def _Relu6GradGrad(op, grad): array_ops.zeros(shape=array_ops.shape(x), dtype=x.dtype)) +@ops.RegisterGradient("LeakyRelu") +def _LeakyReluGrad(op, grad): + x = op.inputs[0] + alpha = op.get_attr("alpha") + return gen_nn_ops.leaky_relu_grad(grad, x, alpha=alpha) + + +@ops.RegisterGradient("LeakyReluGrad") +def _LeakyReluGradGrad(op, grad): + x = op.inputs[1] + alpha = op.get_attr("alpha") + return (gen_nn_ops.leaky_relu_grad(grad, x, alpha=alpha), + array_ops.zeros(shape=array_ops.shape(x), dtype=x.dtype)) + + @ops.RegisterGradient("Elu") def _EluGrad(op, grad): return gen_nn_ops.elu_grad(grad, op.outputs[0]) diff --git a/tensorflow/python/ops/nn_ops.py b/tensorflow/python/ops/nn_ops.py index 1fbe31a098..04962da7f7 100644 --- a/tensorflow/python/ops/nn_ops.py +++ b/tensorflow/python/ops/nn_ops.py @@ -22,6 +22,7 @@ import numbers import numpy as np +from tensorflow.python.compat import compat from tensorflow.python.eager import context from tensorflow.python.framework import dtypes from tensorflow.python.framework import graph_util @@ -1602,6 +1603,8 @@ def leaky_relu(features, alpha=0.2, name=None): features = ops.convert_to_tensor(features, name="features") if features.dtype.is_integer: features = math_ops.to_float(features) + if compat.forward_compatible(2018, 11, 1): + return gen_nn_ops.leaky_relu(features, alpha=alpha, name=name) alpha = ops.convert_to_tensor(alpha, dtype=features.dtype, name="alpha") return math_ops.maximum(alpha * features, features, name=name) |