/external/tensorflow/tensorflow/python/keras/ |
D | testing_utils.py | 399 def get_small_sequential_mlp(num_hidden, num_classes, input_dim=None): argument 402 model.add(keras.layers.Dense(num_hidden, activation='relu', 405 model.add(keras.layers.Dense(num_hidden, activation='relu')) 411 def get_small_functional_mlp(num_hidden, num_classes, input_dim): argument 413 outputs = keras.layers.Dense(num_hidden, activation='relu')(inputs) 422 def __init__(self, num_hidden, num_classes, use_bn=False, use_dp=False): argument 427 self.layer_a = keras.layers.Dense(num_hidden, activation='relu') 447 def __init__(self, num_hidden, num_classes): argument 451 self.num_hidden = num_hidden 455 self.layer_a = keras.layers.Dense(self.num_hidden, activation='relu') [all …]
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D | optimizers_test.py | 36 def _get_model(input_dim, num_hidden, output_dim): argument 38 model.add(keras.layers.Dense(num_hidden,
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D | callbacks_v1_test.py | 322 num_hidden=10, num_classes=10, input_dim=100) 372 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM) 483 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
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D | callbacks_test.py | 845 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM) 903 num_hidden=1, num_classes=1, input_dim=1) 974 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM) 1049 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM) 1155 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM) 1412 num_hidden=10, num_classes=2, input_dim=3)
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | sequential_test.py | 70 num_hidden = 5 76 num_hidden, num_classes, input_dim) 87 self.assertEqual(model.output_shape, (None, num_hidden)) 93 y = np.random.random((batch_size, num_hidden)) 98 model.add(keras.layers.Dense(num_hidden, input_dim=input_dim)) 110 num_hidden = 5 115 model = testing_utils.get_small_sequential_mlp(num_hidden, num_classes) 137 num_hidden = 5 143 model = testing_utils.get_small_sequential_mlp(num_hidden, num_classes) 287 num_hidden = 5 [all …]
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D | training_generator_test.py | 99 num_hidden=3, num_classes=4, input_dim=2) 137 num_hidden=3, num_classes=4, input_dim=2) 166 num_hidden=3, num_classes=4, input_dim=2) 202 num_hidden=3, num_classes=4, input_dim=2) 241 num_hidden=3, num_classes=4, input_dim=2) 286 num_hidden=10, num_classes=1, input_dim=10) 303 num_hidden=3, num_classes=4, input_dim=2) 342 num_hidden=10, num_classes=1, input_dim=10) 428 num_hidden=3, num_classes=4, input_dim=2) 471 num_hidden=10, num_classes=1, input_dim=10)
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D | training_test.py | 94 num_hidden=10, num_classes=2, input_dim=3) 107 num_hidden=10, num_classes=2, input_dim=3) 184 num_hidden=10, num_classes=2, input_dim=3) 195 num_hidden=10, num_classes=2, input_dim=3) 209 num_hidden=10, num_classes=2, input_dim=3) 222 num_hidden=10, num_classes=2, input_dim=3) 237 num_hidden=10, num_classes=2, input_dim=3) 252 num_hidden=10, num_classes=2, input_dim=3) 1112 num_hidden=10, num_classes=num_classes, input_dim=input_dim) 1577 num_hidden=10, num_classes=num_classes, input_dim=input_dim) [all …]
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/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | optimizer_v2_test.py | 583 num_hidden = 1 585 num_hidden=num_hidden, num_classes=num_classes) 662 num_hidden = 5 664 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim) 674 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim) 750 num_hidden = 5 752 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim) 754 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim) 757 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim) 811 num_hidden = 5 [all …]
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/external/antlr/runtime/Ruby/lib/antlr3/ |
D | profile.rb | 304 num_hidden = input.tokens( starting_index, this_ref_index ).count { |t| t.hidden? } 305 depth = i + this_ref_index - starting_index - num_hidden
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | hdf5_format_test.py | 222 num_hidden = 5 229 model.add(keras.layers.Dense(num_hidden, input_dim=input_dim)) 238 model.add(keras.layers.Dense(num_hidden, input_dim=input_dim)) 294 num_hidden = 5 299 ref_model.add(keras.layers.Dense(num_hidden, input_dim=input_dim, 311 model.add(keras.layers.Dense(num_hidden, use_bias=False, 337 num_hidden = 5 342 ref_model.add(keras.layers.Dense(num_hidden, input_dim=input_dim, 355 model.add(keras.layers.Dense(num_hidden + 5, input_dim=input_dim,
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/external/tensorflow/tensorflow/python/keras/tests/ |
D | model_subclassing_test.py | 139 num_hidden=32, num_classes=num_classes, use_dp=True, use_bn=True) 216 num_hidden=32, num_classes=num_classes, use_dp=True, use_bn=True) 233 num_hidden=32, num_classes=num_classes, use_dp=True, use_bn=True) 342 num_hidden=32, num_classes=4, use_bn=True, use_dp=True) 495 num_hidden=32, num_classes=num_classes, use_dp=True, use_bn=True)
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D | model_subclassing_compiled_test.py | 47 num_hidden=32, num_classes=num_classes, use_dp=True, use_bn=True) 90 num_hidden=32, num_classes=num_classes, use_dp=True, use_bn=True)
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D | model_subclassing_test_util.py | 72 num_hidden=32, num_classes=4, use_bn=True, use_dp=True)
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