/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
sdca_estimator.py | 119 partitioner = params["partitioner"] 141 partitioner=partitioner) 147 partitioner=partitioner) as scope: 220 partitioner=None): 248 partitioner: Variable partitioner for the primal weights (`div` 276 "partitioner": partitioner [all...] |
sdca_optimizer.py | 67 data sets. You can also specify a `partitioner` object to partition the primal 78 partitioner=None): 85 self._partitioner = partitioner 115 def partitioner(self): member in class:SDCAOptimizer 185 # If a partitioner was used during variable creation, we will have a 238 # If a partitioner was used during variable creation, we will have a
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/external/tensorflow/tensorflow/python/training/ |
warm_starting_util_test.py | 61 partitioner=None): 68 partitioner=partitioner) 70 if partitioner: 100 def _create_linear_model(self, feature_cols, partitioner): 102 with variable_scope.variable_scope("", partitioner=partitioner): 136 partitioner=lambda shape, dtype: [2, 1]) 159 partitioner=lambda shape, dtype: [2, 1]) 176 partitioner=lambda shape, dtype: [2, 1] [all...] |
checkpoint_ops_test.py | 154 partitioner=partitioned_variables.fixed_size_partitioner(2)) 188 partitioner=partitioned_variables.fixed_size_partitioner(2)) 226 partitioner=partitioned_variables.fixed_size_partitioner(2)) 262 partitioner=partitioned_variables.fixed_size_partitioner(2)) 296 partitioner=partitioned_variables.fixed_size_partitioner(2)) 342 partitioner=partitioned_variables.fixed_size_partitioner(2)) 380 partitioner=partitioned_variables.fixed_size_partitioner(2))
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saver_large_partitioned_variable_test.py | 51 partitioner=partitioned_variables.fixed_size_partitioner(4),
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checkpoint_utils_test.py | 64 partitioner=partitioned_variables.min_max_variable_partitioner( 271 partitioner=partitioned_variables.min_max_variable_partitioner( 281 partitioner=partitioned_variables.min_max_variable_partitioner( 309 partitioner=partitioned_variables.min_max_variable_partitioner(
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localhost_cluster_performance_test.py | 101 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/python/ops/ |
variable_scope.py | 293 partitioner=None, 315 If a partitioner is provided, a `PartitionedVariable` is returned. 344 partitioner: Optional callable that accepts a fully defined `TensorShape` 386 partitioner was used). 445 partitioner=None, 455 if partitioner is not None and not is_scalar: 456 if not callable(partitioner): 458 "Partitioner must be callable, but received: %s" % partitioner) 470 partitioner=partitioner 1107 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. 161 """Partitioner to allocate minimum size per slice. 163 Returns a partitioner that partitions the variable of given shape and dtype 177 A partition function usable as the `partitioner` argument to 182 """Partitioner that partitions list for a variable of given shape and type. 223 """Partitioner to specify a fixed number of shards along given axis [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
partitioned_variables_test.py | 44 partitioner = partitioned_variables.fixed_size_partitioner(5, axis=0) 45 with variable_scope.variable_scope("root", partitioner=partitioner): 55 partitioner = partitioned_variables.fixed_size_partitioner(4, axis=0) 56 with variable_scope.variable_scope("root", partitioner=partitioner): 63 partitioner = partitioned_variables.fixed_size_partitioner(5, axis=0) 65 "root", partitioner=partitioner, use_resource=True): 80 partitioner = partitioned_variables.variable_axis_size_partitioner [all...] |
checkpoint_ops_test.py | 303 def _test_loading_variable_with_max_rows(self, np_value, partitioner, 312 partitioner=partitioner) 380 partitioner=None, 389 partitioner=None, 401 partitioner=None, 410 partitioner=None, 418 partitioner=partitioned_variables.fixed_size_partitioner(3), 428 partitioner=partitioned_variables.fixed_size_partitioner(3), 441 partitioner=partitioned_variables.fixed_size_partitioner(3) [all...] |
/external/tensorflow/tensorflow/contrib/opt/python/training/ |
moving_average_optimizer_test.py | 83 partitioner = partitioned_variables.fixed_size_partitioner( 91 partitioner = None 96 partitioner=partitioner) 101 partitioner=partitioner)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
composable_model.py | 231 partitioner = partitioned_variables.min_max_variable_partitioner( 235 partitioner=partitioner) as scope: 365 partitioner=input_layer_partitioner) as scope: 380 partitioner=hidden_layer_partitioner) as scope: 395 partitioner=hidden_layer_partitioner) as scope:
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linear.py | 150 partitioner = partitioned_variables.min_max_variable_partitioner( 157 partitioner=partitioner) as scope: 249 partitioner=optimizer.partitioner) as scope: [all...] |
dnn.py | 139 partitioner = partitioned_variables.min_max_variable_partitioner( 144 partitioner=partitioner): 152 partitioner=input_layer_partitioner) as input_layer_scope: [all...] |
/external/tensorflow/tensorflow/python/layers/ |
base.py | 310 partitioner=None, 338 partitioner: (optional) partitioner instance (callable). If 340 into multiple partitions according to `partitioner`. In this case, 350 instance. If `partitioner` is not `None`, a `PartitionedVariable` 374 partitioner=partitioner, 438 partitioner=partitioner,
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/external/tensorflow/tensorflow/contrib/framework/python/ops/ |
variables.py | 212 partitioner=None, 236 partitioner: Optional callable that accepts a fully defined `TensorShape` 274 partitioner=partitioner, 290 partitioner=None, 315 partitioner: Optional callable that accepts a fully defined `TensorShape` 346 partitioner=partitioner,
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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 | 169 partitioner = partitioned_variables.variable_axis_size_partitioner(40) 171 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/contrib/quantize/python/ |
quant_ops_test.py | 90 # scalar. There would be a tensorflow error thrown if the partitioner was 94 'part', partitioner=partitioned_variables.fixed_size_partitioner(2)): 105 # scalar. There would be a tensorflow error thrown if the partitioner was 109 'part', partitioner=partitioned_variables.fixed_size_partitioner(2)):
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quantize_test.py | 422 partitioner = partitioned_variables.fixed_size_partitioner(1) 425 with variable_scope.variable_scope('part', partitioner=partitioner): 452 partitioner = partitioned_variables.fixed_size_partitioner(2) 455 with variable_scope.variable_scope('part', partitioner=partitioner):
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/external/tensorflow/tensorflow/python/tools/ |
freeze_graph_test.py | 278 partitioner = partitioned_variables.fixed_size_partitioner(1) 280 with variable_scope.variable_scope("part", partitioner=partitioner):
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/external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
rnn_cell.py | 220 variable_scope partitioner instead. 222 variable_scope partitioner instead. 251 "Use a variable scope with a partitioner instead.", self) 310 def add_variable_wrapped(name, shape, initializer, index, partitioner): 312 name, shape=shape, initializer=initializer, partitioner=partitioner) 381 partitioner=maybe_proj_partitioner)
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