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| author |  Mrinal Kalakrishnan <kalakris@google.com> | 2016-09-02 09:21:47 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-09-02 10:31:21 -0700 |
| commit | 6c110d3984f771a95925b663436168a87585191b (patch) | |
| tree | 62833fe05fef4b19ef6c7f17a5c9feddf6d7c376 /tensorflow/python/ops/linalg_grad.py | |
| parent | 5432568cde33a35758d36220e12392b220018d03 (diff) | |
Remove NoGradient for ops which could have gradients defined but don't.
Some ops (notably ops which implement a gradient themselves) had NoGradient
defined, which meant that attempts to compute their gradient would implicitly
return 0. This CL changes this implicit behavior to one that produces an error
during graph construction when taking the gradient of one of these ops.
Change: 132076657
Diffstat (limited to 'tensorflow/python/ops/linalg_grad.py')
| -rw-r--r-- | tensorflow/python/ops/linalg_grad.py | 9 |
1 files changed, 0 insertions, 9 deletions
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): |