| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| 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...] |
| /external/tensorflow/tensorflow/python/layers/ |
| layers.py | 54 from tensorflow.python.layers.convolutional import separable_conv2d
|
| convolutional_test.py | 532 conv_layers.separable_conv2d(images, 32, 3, data_format='invalid')
538 conv_layers.separable_conv2d(images, 32, 3, strides=(1, 2, 3))
541 conv_layers.separable_conv2d(images, 32, 3, strides=None)
547 conv_layers.separable_conv2d(images, 32, (1, 2, 3))
550 conv_layers.separable_conv2d(images, 32, None)
558 self.assertEqual(output.op.name, 'separable_conv2d/Relu')
670 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1')
672 conv_layers.separable_conv2d(
681 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1')
684 conv_layers.separable_conv2d(images, 32, [3, 3], name='sepconv1'
[all...] |
| convolutional.py | 978 def separable_conv2d(inputs, function
[all...] |
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| fold_batch_norms_test.py | 42 separable_conv2d = layers.separable_conv2d variable
462 node = separable_conv2d(
484 node = separable_conv2d(
574 node = separable_conv2d(
596 node = separable_conv2d(
[all...] |
| quantize_parameterized_test.py | 37 separable_conv2d = layers.separable_conv2d variable
290 node = separable_conv2d(
341 node = separable_conv2d(
627 node = separable_conv2d(
686 node = separable_conv2d(
[all...] |
| quantize_test.py | 37 separable_conv2d = layers.separable_conv2d variable
116 conv = separable_conv2d(input1, None, [5, 5], stride=2,
153 conv = separable_conv2d(
180 'test/test/separable_conv2d/weights_quant/' + quantization_node_name)
185 'test/test/separable_conv2d/act_quant/' + quantization_node_name)
|
| /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(
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers_test.py | [all...] |
| layers.py | 66 'scale_gradient', 'separable_conv2d', 'separable_convolution2d',
3334 separable_conv2d = separable_convolution2d variable
[all...] |
| /external/tensorflow/tensorflow/python/keras/ |
| backend_test.py | [all...] |
| backend.py | 4442 def separable_conv2d(x, function
[all...] |
| /external/tensorflow/tensorflow/contrib/keras/api/keras/backend/ |
| __init__.py | 123 from tensorflow.python.keras.backend import separable_conv2d
|
| /external/tensorflow/tensorflow/python/ops/ |
| nn_impl.py | 640 @tf_export(v1=["nn.separable_conv2d"])
641 def separable_conv2d(input, function
697 with ops.name_scope(name, "separable_conv2d",
714 # separable_conv2d // Conv2D op corresponding to the pointwise conv.
741 @tf_export("nn.separable_conv2d", v1=[])
797 return separable_conv2d(
[all...] |
| /external/tensorflow/tensorflow/python/keras/layers/ |
| convolutional.py | [all...] |
| /external/tensorflow/tensorflow/python/grappler/ |
| layout_optimizer_test.py | 171 conv = conv_layers.separable_conv2d if depthwise else conv_layers.conv2d
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| conv_ops_test.py | [all...] |
