Searched refs:separable_conv2d (Results 1 – 17 of 17) sorted by relevance
/external/tensorflow/tensorflow/core/profiler/g3doc/ |
D | profile_memory.md | 42 tower_3/SepConv2d_2b_3x3/separable_conv2d (346.85MB/854.00MB) 43 tower_3/SepConv2d_2b_3x3/separable_conv2d/depthwise (507.15MB/507.15MB) 44 tower_0/SepConv2d_2b_3x3/separable_conv2d (346.85MB/693.71MB) 45 tower_0/SepConv2d_2b_3x3/separable_conv2d/depthwise (346.85MB/346.85MB) 46 tower_2/SepConv2d_2b_3x3/separable_conv2d (346.85MB/693.71MB) 47 tower_2/SepConv2d_2b_3x3/separable_conv2d/depthwise (346.85MB/346.85MB) 48 tower_1/SepConv2d_2b_3x3/separable_conv2d (346.85MB/693.71MB) 49 tower_1/SepConv2d_2b_3x3/separable_conv2d/depthwise (346.85MB/346.85MB) 50 tower_3/SepConv2d_2a_3x3/separable_conv2d (346.85MB/520.28MB) 51 tower_3/SepConv2d_2a_3x3/separable_conv2d/depthwise (173.43MB/173.43MB) [all …]
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/external/tensorflow/tensorflow/python/layers/ |
D | convolutional.py | 33 separable_conv2d = convolutional.separable_conv2d variable 50 separable_convolution2d = separable_conv2d
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D | layers.py | 53 from tensorflow.python.layers.convolutional import separable_conv2d
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/external/tensorflow/tensorflow/core/grappler/costs/graph_properties_testdata/ |
D | large_function_graph.pbtxt | 456 name: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise" 463 input: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d:output:0" 490 name: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d" 492 input: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise:output:0" 549 name: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise" 599 key: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise" 600 value: "InceptionV2/InceptionV2/Conv2d_1a_7x7/separable_conv2d/depthwise:output:0"
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/external/tensorflow/tensorflow/python/keras/legacy_tf_layers/ |
D | convolutional_test.py | 536 conv_layers.separable_conv2d(images, 32, 3, data_format='invalid') 542 conv_layers.separable_conv2d(images, 32, 3, strides=(1, 2, 3)) 545 conv_layers.separable_conv2d(images, 32, 3, strides=None) 551 conv_layers.separable_conv2d(images, 32, (1, 2, 3)) 554 conv_layers.separable_conv2d(images, 32, None) 674 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1') 676 conv_layers.separable_conv2d( 685 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1') 688 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1') 697 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1') [all …]
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D | convolutional.py | 1003 def separable_conv2d(inputs, function 1510 separable_convolution2d = separable_conv2d
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/external/tensorflow/tensorflow/python/keras/ |
D | backend_test.py | 1118 y = backend.separable_conv2d( 1124 y = backend.separable_conv2d( 1130 y = backend.separable_conv2d( 1136 y = backend.separable_conv2d( 1140 y = backend.separable_conv2d( 1143 y = backend.separable_conv2d(x, dk, pk, (2, 2), data_format='other') 1145 y = backend.separable_conv2d(x, dk, pk, (2, 2, 2))
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D | backend.py | 5546 x = nn.separable_conv2d( 5566 def separable_conv2d(x, function 5609 x = nn.separable_conv2d(
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.layers.pbtxt | 148 name: "separable_conv2d"
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D | tensorflow.keras.backend.pbtxt | 440 name: "separable_conv2d"
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D | tensorflow.nn.pbtxt | 344 name: "separable_conv2d"
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/external/tensorflow/tensorflow/python/ops/ |
D | nn_impl.py | 984 def separable_conv2d(input, function 1153 return separable_conv2d(
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.nn.pbtxt | 276 name: "separable_conv2d"
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D | tensorflow.keras.backend.pbtxt | 436 name: "separable_conv2d"
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | convolutional.py | 2062 outputs = nn.separable_conv2d( 2237 outputs = nn.separable_conv2d(
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | conv_ops_test.py | 2804 conv = nn_impl.separable_conv2d( 2910 conv = nn_impl.separable_conv2d(
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/external/tensorflow/tensorflow/python/grappler/ |
D | layout_optimizer_test.py | 171 conv = conv_layers.separable_conv2d if depthwise else conv_layers.conv2d
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