Searched refs:global_norm (Results 1 – 15 of 15) sorted by relevance
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | optimizers.py | 258 clip_ops.global_norm(list(zip(*gradients))[0]))
286 clip_ops.global_norm([grad_values]))
291 clip_ops.global_norm(list(zip(*gradients))[0]))
378 norm = clip_ops.global_norm(grads)
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| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | agn_optimizer.py | 179 global_norm = []
182 global_norm.append(state_ops.assign(g, g / self._period))
184 with ops.control_dependencies(global_norm):
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| D | multitask_optimizer_wrapper_test.py | 106 clipped_gradvars, global_norm = (
112 self.evaluate(global_norm), reference_global_norm)
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| D | multitask_optimizer_wrapper.py | 140 fixed_global_norm = clip_ops.global_norm(nonzero_gradients)
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| /external/tensorflow/tensorflow/python/ops/ |
| D | clip_ops.py | 171 def global_norm(t_list, name=None): function
269 use_norm = global_norm(t_list, name)
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| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| D | latent_gan_estimator_impl.py | 128 summary.scalar('z_loss/z_grads', clip_ops.global_norm(z_grads))
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| D | training.py | 290 clip_ops.global_norm([grad_values])))
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.linalg.pbtxt | 120 name: "global_norm"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.linalg.pbtxt | 120 name: "global_norm"
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| D | tensorflow.pbtxt | 1344 name: "global_norm"
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| D | learning.py | 364 clip_ops.global_norm([grad_values])))
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| /external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
| D | losses_impl_test.py | 652 gnorm_is_inf = math_ops.is_inf(clip_ops.global_norm(tensors))
664 gnorm = clip_ops.global_norm(tensors)
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| D | losses_impl.py | 833 return list_max * clip_ops.global_norm([x / list_max for x in tensor_list
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| /external/tensorflow/tensorflow/python/grappler/ |
| D | hierarchical_controller.py | 1075 grad_norm = clip_ops.global_norm([g for g, v in grads_and_vars])
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| /external/tensorflow/tensorflow/python/eager/ |
| D | function_test.py | 1101 clipped_list, global_norm = clip_by_global_norm(t_list,
1105 self.assertIsInstance(global_norm, ops.Tensor)
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