Searched refs:img_input (Results 1 – 14 of 14) sorted by relevance
/external/tensorflow/tensorflow/python/keras/applications/ |
D | vgg16.py | 136 img_input = layers.Input(shape=input_shape) 139 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 141 img_input = input_tensor 145 img_input) 204 inputs = img_input
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D | vgg19.py | 136 img_input = layers.Input(shape=input_shape) 139 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 141 img_input = input_tensor 145 img_input) 209 inputs = img_input
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D | mobilenet.py | 227 img_input = layers.Input(shape=input_shape) 230 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 232 img_input = input_tensor 234 x = _conv_block(img_input, 32, alpha, strides=(2, 2)) 282 inputs = img_input
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D | densenet.py | 216 img_input = layers.Input(shape=input_shape) 219 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 221 img_input = input_tensor 225 x = layers.ZeroPadding2D(padding=((3, 3), (3, 3)))(img_input) 262 inputs = img_input
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D | inception_resnet_v2.py | 137 img_input = layers.Input(shape=input_shape) 140 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 142 img_input = input_tensor 145 x = conv2d_bn(img_input, 32, 3, strides=2, padding='valid') 224 inputs = img_input
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D | xception.py | 137 img_input = layers.Input(shape=input_shape) 140 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 142 img_input = input_tensor 150 name='block1_conv1')(img_input) 293 inputs = img_input
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D | inception_v3.py | 132 img_input = layers.Input(shape=input_shape) 135 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 137 img_input = input_tensor 144 x = conv2d_bn(img_input, 32, 3, 3, strides=(2, 2), padding='valid') 338 inputs = img_input
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D | mobilenet_v2.py | 292 img_input = layers.Input(shape=input_shape) 295 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 297 img_input = input_tensor 308 name='Conv1')(img_input) 388 inputs = img_input
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D | efficientnet.py | 292 img_input = layers.Input(shape=input_shape) 295 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 297 img_input = input_tensor 315 x = img_input 388 inputs = img_input
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D | mobilenet_v3.py | 245 img_input = layers.Input(shape=input_shape) 248 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 250 img_input = input_tensor 263 x = img_input 326 inputs = img_input
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D | resnet.py | 157 img_input = layers.Input(shape=input_shape) 160 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 162 img_input = input_tensor 167 padding=((3, 3), (3, 3)), name='conv1_pad')(img_input) 201 inputs = img_input
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D | nasnet.py | 195 img_input = layers.Input(shape=input_shape) 198 img_input = layers.Input(tensor=input_tensor, shape=input_shape) 200 img_input = input_tensor 218 img_input) 275 inputs = img_input
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/external/vulkan-validation-layers/tests/ |
D | vklayertests_buffer_image_memory_sampler.cpp | 3931 VkImageObj img_input(m_device); in TEST_F() local 3932 …img_input.Init(128, 128, 1, VK_FORMAT_R8G8B8A8_UNORM, VK_IMAGE_USAGE_INPUT_ATTACHMENT_BIT, VK_IMAG… in TEST_F() 3933 ASSERT_TRUE(img_input.initialized()); in TEST_F() 3946 …{img_input, VK_IMAGE_LAYOUT_COLOR_ATTACHMENT_OPTIMAL, "VUID-VkImageMemoryBarrier-oldLay… in TEST_F() 3952 …{img_input, VK_IMAGE_LAYOUT_DEPTH_STENCIL_ATTACHMENT_OPTIMAL, "VUID-VkImageMemoryBarrier-oldLay… in TEST_F() 3957 …{img_input, VK_IMAGE_LAYOUT_DEPTH_STENCIL_READ_ONLY_OPTIMAL, "VUID-VkImageMemoryBarrier-oldLay… in TEST_F() 3968 …{img_input, VK_IMAGE_LAYOUT_TRANSFER_SRC_OPTIMAL, "VUID-VkImageMemoryBarrier-oldLay… in TEST_F() 3974 …{img_input, VK_IMAGE_LAYOUT_TRANSFER_DST_OPTIMAL, "VUID-VkImageMemoryBarrier-oldLay… in TEST_F()
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D | vkpositivelayertests.cpp | 3673 VkImageObj img_input(m_device); in TEST_F() local 3674 …img_input.Init(128, 128, 1, VK_FORMAT_R8G8B8A8_UNORM, VK_IMAGE_USAGE_INPUT_ATTACHMENT_BIT, VK_IMAG… in TEST_F() 3675 ASSERT_TRUE(img_input.initialized()); in TEST_F() 3687 … {img_input, VK_IMAGE_LAYOUT_SHADER_READ_ONLY_OPTIMAL, VK_IMAGE_LAYOUT_GENERAL}, in TEST_F()
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