Searched refs:Pruning (Results 1 – 10 of 10) sorted by relevance
54 p = pruning.Pruning(self.pruning_hparams)65 p = pruning.Pruning(spec=self.pruning_hparams, sparsity=self.sparsity)72 p = pruning.Pruning(spec=self.pruning_hparams, sparsity=self.sparsity)73 p_copy = pruning.Pruning(106 p = pruning.Pruning(sparsity=sparsity)124 p = pruning.Pruning(pruning_hparams, sparsity=sparsity)177 p = pruning.Pruning(sparsity=sparsity)198 p = pruning.Pruning(pruning_hparams, sparsity=sparsity)233 p = pruning.Pruning(pruning_hparams)
127 p = pruning.Pruning(pruning_hparams, sparsity=self.sparsity)
221 class Pruning(object): class
35 from tensorflow.contrib.model_pruning.python.pruning import Pruning
44 ### Pruning-related hyperparameters <a name="hyperparameters"></a>102 p = pruning.Pruning(pruning_hparams, global_step=global_step)134 ## Example: Pruning and training deep CNNs on the cifar10 dataset <a name="example"></a>
78 pruning_obj = pruning.Pruning(pruning_hparams, global_step=global_step)
70 * Sparsity/Pruning
36 // Pruning strategies define how candidates are pruned over time.
228 TEST(CollectiveOrderTest, Pruning) { in TEST() argument
132 // Pruning. POST_PRUNE is the default pruning mode.