| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| profile_memory.md | 45 tower_3/SepConv2d_2b_3x3/separable_conv2d (346.85MB/854.00MB)
46 tower_3/SepConv2d_2b_3x3/separable_conv2d/depthwise (507.15MB/507.15MB)
47 tower_0/SepConv2d_2b_3x3/separable_conv2d (346.85MB/693.71MB)
48 tower_0/SepConv2d_2b_3x3/separable_conv2d/depthwise (346.85MB/346.85MB)
49 tower_2/SepConv2d_2b_3x3/separable_conv2d (346.85MB/693.71MB)
50 tower_2/SepConv2d_2b_3x3/separable_conv2d/depthwise (346.85MB/346.85MB)
51 tower_1/SepConv2d_2b_3x3/separable_conv2d (346.85MB/693.71MB)
52 tower_1/SepConv2d_2b_3x3/separable_conv2d/depthwise (346.85MB/346.85MB)
53 tower_3/SepConv2d_2a_3x3/separable_conv2d (346.85MB/520.28MB)
54 tower_3/SepConv2d_2a_3x3/separable_conv2d/depthwise (173.43MB/173.43MB
[all...] |
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| quantize_test.py | 33 separable_conv2d = layers.separable_conv2d variable
99 conv = separable_conv2d(input1, None, [5, 5], stride=2,
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| quantize_parameterized_test.py | 36 separable_conv2d = layers.separable_conv2d variable
232 node = separable_conv2d(inputs, None, [5, 5], stride=stride,
515 node = separable_conv2d(
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| fold_batch_norms_test.py | 41 separable_conv2d = layers.separable_conv2d variable
288 node = separable_conv2d(
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| /external/tensorflow/tensorflow/python/layers/ |
| layers.py | 48 @@separable_conv2d
98 from tensorflow.python.layers.convolutional import separable_conv2d
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| convolutional_test.py | 498 conv_layers.separable_conv2d(images, 32, 3, data_format='invalid')
504 conv_layers.separable_conv2d(images, 32, 3, strides=(1, 2, 3))
507 conv_layers.separable_conv2d(images, 32, 3, strides=None)
513 conv_layers.separable_conv2d(images, 32, (1, 2, 3))
516 conv_layers.separable_conv2d(images, 32, None)
523 self.assertEqual(output.op.name, 'separable_conv2d/Relu')
631 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1')
633 conv_layers.separable_conv2d(
641 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1')
644 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1'
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| convolutional.py | 1390 def separable_conv2d(inputs, function
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| backend_test.py | 803 y = keras.backend.separable_conv2d(
809 y = keras.backend.separable_conv2d(
815 y = keras.backend.separable_conv2d(
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| backend.py | 3801 def separable_conv2d(x, function
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| inception_v2.py | 85 layers.separable_conv2d
97 # depthwise conv (see docs for tf.nn.separable_conv2d), while
103 net = layers.separable_conv2d(
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers_test.py | [all...] |
| layers.py | 66 'scale_gradient', 'separable_conv2d', 'separable_convolution2d',
3129 separable_conv2d = separable_convolution2d variable
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| /external/tensorflow/tensorflow/contrib/keras/api/keras/backend/ |
| __init__.py | 123 from tensorflow.python.keras._impl.keras.backend import separable_conv2d
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| /external/tensorflow/tensorflow/python/keras/backend/ |
| __init__.py | 123 from tensorflow.python.keras._impl.keras.backend import separable_conv2d
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| /external/tensorflow/tensorflow/python/ops/ |
| nn_impl.py | 468 @tf_export("nn.separable_conv2d")
469 def separable_conv2d(input, function
522 with ops.name_scope(name, "separable_conv2d",
539 # separable_conv2d // Conv2D op corresponding to the pointwise conv.
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| conv_ops_test.py | [all...] |
| /external/tensorflow/tensorflow/python/grappler/ |
| layout_optimizer_test.py | 167 conv = conv_layers.separable_conv2d if depthwise else conv_layers.conv2d
[all...] |
