| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| convolution_dimension_numbers_test.cc | 103 auto conv1 = Conv(input, weight, {1, 1}, Padding::kValid); local
120 ConvWithGeneralDimensions(input, conv1, {1, 1}, Padding::kValid, dim_nums);
|
| /external/tensorflow/tensorflow/examples/tutorials/layers/ |
| cnn_mnist.py | 38 conv1 = tf.layers.conv2d(
49 pool1 = tf.layers.max_pooling2d(inputs=conv1, pool_size=[2, 2], strides=2)
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/densenet/ |
| densenet.py | 60 self.conv1 = tf.keras.layers.Conv2D(inter_filter,
73 output = self.conv1(tf.nn.relu(output))
224 self.conv1 = tf.keras.layers.Conv2D(self.num_filters,
276 output = self.conv1(x)
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| mnist.py | 59 self.conv1 = layers.Conv2D(
84 x = self.conv1(x)
120 self.conv1 = layers.Conv2DTranspose(
145 x = self.conv1(x)
|
| /external/clang/test/SemaCXX/ |
| cxx1y-deduced-return-type.cpp | 13 struct Conv1 {
15 } conv1; variable in typeref:struct:Conv1
16 int conv1a = conv1; // expected-error {{function 'operator auto' with deduced return type cannot be used before it is defined}}
18 Conv1::operator auto() { return 123; }
19 int conv1b = conv1;
20 int conv1c = conv1.operator auto();
21 int conv1d = conv1.operator int(); // expected-error {{no member named 'operator int'}}
|
| /external/python/cpython2/Lib/lib-tk/test/ |
| widget_tests.py | 185 conv1 = conv
187 if conv1 and conv1 is not str:
189 conv1 = int_round
191 conv=conv1, **kwargs)
|
| /external/python/cpython3/Lib/tkinter/test/ |
| widget_tests.py | 166 conv1 = conv
168 if conv1 and conv1 is not str:
170 conv1 = round
172 conv=conv1, **kwargs)
|
| /external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/ |
| cifar10_pruning.py | 187 # conv1
188 with tf.variable_scope('conv1') as scope:
196 conv1 = tf.nn.relu(pre_activation, name=scope.name)
197 _activation_summary(conv1)
201 conv1,
|
| /external/libaom/libaom/av1/common/x86/ |
| av1_convolve_scale_sse4.c | 156 const __m128i conv1 = convolve_16_8(src1, coeff0716); local
161 const __m128i conv01 = _mm_hadd_epi32(conv0, conv1);
388 const __m128i conv1 = convolve_16_8(src1, coeff0716); local
393 const __m128i conv01 = _mm_hadd_epi32(conv0, conv1);
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
| resnet50.py | 224 self.conv1 = layers.Conv2D(
229 name='conv1')
276 x = self.conv1(inputs)
|
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| quantize_test.py | 295 conv1 = conv2d(
315 bypass_tensor = math_ops.add(conv1, conv2, name='test/add')
542 conv1 = nn.depthwise_conv2d(
546 conv1, depthwise_weights, strides, padding='SAME')
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| topology_test.py | [all...] |
| /external/icu/icu4c/source/test/cintltst/ |
| ccapitst.c | 1486 UConverter *conv1, *conv2 = NULL; local
[all...] |
| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| gradients_test.py | 233 self.conv1 = tf_layers.Conv2D(
255 y = self.conv1(y)
|
| /external/tensorflow/tensorflow/core/kernels/ |
| nn_ops_test.cc | 279 BM_ConvFloatFwd(32, 8, 8, 384, 384, 1, 3, 1, SAME, conv1);
395 BM_ConvFloatBkInAndFilter(32, 8, 8, 384, 384, 1, 3, 1, SAME, conv1);
[all...] |
| /external/tensorflow/tensorflow/python/keras/ |
| model_subclassing_test.py | 77 self.conv1 = keras.layers.Conv2D(32, (3, 3), activation='relu')
82 x = self.conv1(x)
[all...] |
| /external/chromium-trace/catapult/common/py_vulcanize/third_party/rjsmin/bench/ |
| jquery-1.7.1.js | [all...] |
| /external/tensorflow/tensorflow/python/grappler/ |
| layout_optimizer_test.py | 233 conv1 = conv_layers.conv2d(image, 32, [3, 3])
234 conv2 = conv_layers.conv2d(conv1, 32, [3, 3])
[all...] |
