/external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
linear.py | 90 partitioner=None): 105 partitioner: Optional. Partitioner for input layer. 115 partitioner=partitioner,
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dnn_linear_combined_test.py | 100 partitioner=None): 107 input_layer_partitioner=partitioner,
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/external/tensorflow/tensorflow/python/estimator/canned/ |
linear.py | 115 partitioner, config): 128 partitioner: Partitioner for variables. 146 partitioner = partitioner or ( 154 partitioner=partitioner): 249 partitioner=None, 282 partitioner: Optional. Partitioner for input layer [all...] |
dnn.py | 61 input_layer_partitioner: Partitioner for input layer. 90 partitioner=input_layer_partitioner): 148 input_layer_partitioner: Partitioner for input layer. Defaults 166 partitioner = partitioned_variables.min_max_variable_partitioner( 171 partitioner=partitioner): 319 input_layer_partitioner: Optional. Partitioner for input layer. Defaults 473 input_layer_partitioner: Optional. Partitioner for input layer. Defaults
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dnn_linear_combined.py | 116 input_layer_partitioner: Partitioner for input layer. 159 partitioner=dnn_partitioner): 182 partitioner=input_layer_partitioner) as scope: 354 input_layer_partitioner: Partitioner for input layer. Defaults to 528 input_layer_partitioner: Partitioner for input layer. Defaults to
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/external/tensorflow/tensorflow/python/estimator/ |
warm_starting_util_test.py | 59 partitioner=None): 66 partitioner=partitioner) 68 if partitioner: 82 def _create_linear_model(self, feature_cols, partitioner): 84 with variable_scope.variable_scope("", partitioner=partitioner): 116 partitioner=lambda shape, dtype: [2, 1]) 137 partitioner=lambda shape, dtype: [2, 1]) 152 partitioner=lambda shape, dtype: [2, 1] [all...] |
/external/tensorflow/tensorflow/python/ops/ |
variable_scope.py | 234 partitioner=None, validate_shape=True, use_resource=None, 251 If a partitioner is provided, a `PartitionedVariable` is returned. 278 partitioner: Optional callable that accepts a fully defined `TensorShape` 311 partitioner was used). 353 partitioner=None, validate_shape=True, use_resource=None, 359 if partitioner is not None and not is_scalar: 360 if not callable(partitioner): 362 "Partitioner must be callable, but received: %s" % partitioner) 373 partitioner=partitioner 966 def partitioner(self): member in class:VariableScope [all...] |
partitioned_variables.py | 74 """Get a partitioner for VariableScope to keep shards below `max_shard_bytes`. 76 This partitioner will shard a Variable along one axis, attempting to keep 82 If the partitioner hits the `max_shards` limit, then each shard may end up 98 A partition function usable as the `partitioner` argument to 112 """Partitioner that partitions shards to have max_shard_bytes total size. 160 """Partitioner to allocate minimum size per slice. 162 Returns a partitioner that partitions the variable of given shape and dtype 176 A partition function usable as the `partitioner` argument to 181 """Partitioner that partitions list for a variable of given shape and type. 222 """Partitioner to specify a fixed number of shards along given axis [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
partitioned_variables_test.py | 40 partitioner = partitioned_variables.fixed_size_partitioner(5, axis=0) 41 with variable_scope.variable_scope("root", partitioner=partitioner): 51 partitioner = partitioned_variables.fixed_size_partitioner(4, axis=0) 52 with variable_scope.variable_scope("root", partitioner=partitioner): 59 partitioner = partitioned_variables.fixed_size_partitioner(5, axis=0) 61 "root", partitioner=partitioner, use_resource=True): 76 partitioner = partitioned_variables.variable_axis_size_partitioner [all...] |
checkpoint_ops_test.py | 298 def _test_loading_variable_with_max_rows(self, np_value, partitioner, 307 partitioner=partitioner) 374 partitioner=None, 382 partitioner=None, 393 partitioner=None, 401 partitioner=None, 408 partitioner=partitioned_variables.fixed_size_partitioner(3), 417 partitioner=partitioned_variables.fixed_size_partitioner(3), 429 partitioner=partitioned_variables.fixed_size_partitioner(3) [all...] |
variable_scope_test.py | [all...] |
/external/tensorflow/tensorflow/python/training/ |
checkpoint_ops_test.py | 151 partitioner=partitioned_variables.fixed_size_partitioner(2)) 185 partitioner=partitioned_variables.fixed_size_partitioner(2)) 223 partitioner=partitioned_variables.fixed_size_partitioner(2)) 259 partitioner=partitioned_variables.fixed_size_partitioner(2)) 293 partitioner=partitioned_variables.fixed_size_partitioner(2)) 339 partitioner=partitioned_variables.fixed_size_partitioner(2)) 377 partitioner=partitioned_variables.fixed_size_partitioner(2))
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checkpoint_utils_test.py | 63 partitioner=partitioned_variables.min_max_variable_partitioner( 241 partitioner=partitioned_variables.min_max_variable_partitioner( 251 partitioner=partitioned_variables.min_max_variable_partitioner( 279 partitioner=partitioned_variables.min_max_variable_partitioner(
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localhost_cluster_performance_test.py | 99 partitioner=partitioned_variables.variable_axis_size_partitioner(
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slot_creator.py | 56 current_partitioner = variable_scope.get_variable_scope().partitioner
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
composable_model.py | 220 partitioner = partitioned_variables.min_max_variable_partitioner( 224 partitioner=partitioner) as scope: 350 partitioner=input_layer_partitioner) as scope: 365 partitioner=hidden_layer_partitioner) as scope: 380 partitioner=hidden_layer_partitioner) as scope:
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dnn.py | 134 partitioner = partitioned_variables.min_max_variable_partitioner( 139 partitioner=partitioner): 147 partitioner=input_layer_partitioner) as input_layer_scope: [all...] |
linear.py | 145 partitioner = partitioned_variables.min_max_variable_partitioner( 152 partitioner=partitioner) as scope: [all...] |
/external/tensorflow/tensorflow/contrib/framework/python/ops/ |
variables.py | 199 partitioner=None, custom_getter=None, use_resource=None): 219 partitioner: Optional callable that accepts a fully defined `TensorShape` 245 partitioner=partitioner, 252 caching_device=None, device=None, partitioner=None, 274 partitioner: Optional callable that accepts a fully defined `TensorShape` 290 partitioner=partitioner, custom_getter=custom_getter,
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/external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
layers.py | 47 partitioner=None, 66 partitioner=partitioner,
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/external/tensorflow/tensorflow/contrib/model_pruning/python/ |
pruning_test.py | 149 partitioner = partitioned_variables.variable_axis_size_partitioner(40) 151 with variable_scope.variable_scope("", partitioner=partitioner):
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/external/tensorflow/tensorflow/contrib/framework/python/framework/ |
checkpoint_utils_test.py | 62 partitioner=partitioned_variables.min_max_variable_partitioner( 226 partitioner=partitioned_variables.min_max_variable_partitioner( 234 partitioner=partitioned_variables.min_max_variable_partitioner( 256 partitioner=partitioned_variables.min_max_variable_partitioner(
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/external/tensorflow/tensorflow/python/eager/ |
graph_callable.py | 111 # TODO(apassos) ignoring the regularizer and partitioner here; figure out 116 partitioner=None, validate_shape=True, 118 del getter, regularizer, partitioner, validate_shape, use_resource, dtype 137 # TODO(apassos) ignoring the regularizer and partitioner here; figure out 142 partitioner=None, validate_shape=True, 144 del getter, regularizer, collections, caching_device, partitioner
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/external/tensorflow/tensorflow/python/layers/ |
normalization.py | 304 partitioner = self._scope.partitioner 307 partitioner = None 357 if partitioner: 358 self._scope.set_partitioner(partitioner) [all...] |
/external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
dnn_tree_combined_estimator.py | 98 dnn_input_layer_partitioner: Partitioner for input layer of the DNN. 132 partitioner=dnn_partitioner): 137 partitioner=dnn_partitioner) as input_layer_scope: 313 dnn_input_layer_partitioner: Partitioner for input layer of the DNN. 402 dnn_input_layer_partitioner: Partitioner for input layer of the DNN. 491 dnn_input_layer_partitioner: Partitioner for input layer of the DNN.
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