Searched refs:clip_by_norm (Results 1 – 12 of 12) sorted by relevance
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | clip_ops_test.py | 161 ans = clip_ops.clip_by_norm(x, clip_norm)
164 ans = clip_ops.clip_by_norm(x, clip_norm)
174 b = clip_ops.clip_by_norm(x, 1.)
184 _ = clip_ops.clip_by_norm(x, clip)
193 ans = clip_ops.clip_by_norm(x, clip_norm)
205 ans = clip_ops.clip_by_norm(x, clip_norm)
217 ans = clip_ops.clip_by_norm(x, clip_norm, [0])
229 ans = clip_ops.clip_by_norm(x, clip_norm, [1])
241 ans = clip_ops.clip_by_norm(x, clip_norm, [1])
462 without_norm = clip_ops.clip_by_norm(
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| /external/tensorflow/tensorflow/python/ops/ |
| D | clip_ops_test.py | 37 clipped = clip_ops.clip_by_norm(input_op, max_norm)
50 clipped = clip_ops.clip_by_norm(indixed_slices, max_norm, axes)
57 dense_clipped = clip_ops.clip_by_norm(dense_tensor, max_norm, axes)
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| D | clip_ops.py | 113 def clip_by_norm(t, clip_norm, axes=None, name=None): function
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| D | embedding_ops.py | 76 return clip_ops.clip_by_norm(
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| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | variable_clipping_optimizer.py | 113 normalized_var = clip_ops.clip_by_norm(
131 normalized_var_subset = clip_ops.clip_by_norm(
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| D | training.py | 311 tmp = clip_ops.clip_by_norm(grad.values, max_norm)
314 grad = clip_ops.clip_by_norm(grad, max_norm)
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| D | learning.py | 294 tmp = clip_ops.clip_by_norm(grad.values, max_norm)
297 grad = clip_ops.clip_by_norm(grad, max_norm)
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | optimizer_v2.py | 334 grads = [clip_ops.clip_by_norm(g, self.clipnorm) for g in grads]
372 grads = [clip_ops.clip_by_norm(g, self.clipnorm) for g in grads]
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | embedding_ops.py | 737 return clip_ops.clip_by_norm(x, max_norm, axes=list(range(1, ndims)))
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| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 100 grads = [clip_ops.clip_by_norm(g, self.clipnorm) for g in grads]
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.pbtxt | 496 name: "clip_by_norm"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.pbtxt | 952 name: "clip_by_norm"
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