diff options
| -rw-r--r-- | tensorflow/python/ops/array_grad.py | 3 | ||||
| -rw-r--r-- | tensorflow/python/ops/linalg_grad.py | 9 | ||||
| -rw-r--r-- | tensorflow/python/ops/math_grad.py | 3 |
3 files changed, 1 insertions, 14 deletions
diff --git a/tensorflow/python/ops/array_grad.py b/tensorflow/python/ops/array_grad.py index 1cf54de465..7e3fb6edb5 100644 --- a/tensorflow/python/ops/array_grad.py +++ b/tensorflow/python/ops/array_grad.py @@ -379,9 +379,6 @@ def _TileGrad(op, grad): return [input_grad, None] -ops.NoGradient("TileGrad") - - ops.NoGradient("BroadcastGradientArgs") diff --git a/tensorflow/python/ops/linalg_grad.py b/tensorflow/python/ops/linalg_grad.py index 7c10239043..e45d7e69e6 100644 --- a/tensorflow/python/ops/linalg_grad.py +++ b/tensorflow/python/ops/linalg_grad.py @@ -30,15 +30,6 @@ from tensorflow.python.ops import control_flow_ops from tensorflow.python.ops import linalg_ops from tensorflow.python.ops import math_ops -ops.NoGradient("CholeskyGrad") -ops.NoGradient("BatchCholeskyGrad") -ops.NoGradient("SelfAdjointEig") -ops.NoGradient("BatchSelfAdjointEig") -ops.NoGradient("SelfAdjointEigV2") -ops.NoGradient("BatchSelfAdjointEigV2") -ops.NoGradient("Svd") -ops.NoGradient("BatchSvd") - @ops.RegisterGradient("MatrixInverse") def _MatrixInverseGrad(op, grad): diff --git a/tensorflow/python/ops/math_grad.py b/tensorflow/python/ops/math_grad.py index fe2d057a0f..b5c33f84bb 100644 --- a/tensorflow/python/ops/math_grad.py +++ b/tensorflow/python/ops/math_grad.py @@ -33,8 +33,7 @@ from tensorflow.python.ops import math_ops # Gradient ops that do not have gradients themselves. ops.NoGradient("SigmoidGrad") ops.NoGradient("TanhGrad") -ops.NoGradient("InvGrad") -ops.NoGradient("RsqrtGrad") + def _safe_shape_div(x, y): """Divides `x / y` assuming `x, y >= 0`, treating `0 / 0 = 0`.""" |