| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | imagenet_utils_test.py | 35 utils.preprocess_input(x, mode='some_unknown_mode')
40 self.assertEqual(utils.preprocess_input(x).shape, x.shape)
41 self.assertEqual(utils.preprocess_input(xint).shape, xint.shape)
43 out1 = utils.preprocess_input(x, 'channels_last')
44 out1int = utils.preprocess_input(xint, 'channels_last')
45 out2 = utils.preprocess_input(
47 out2int = utils.preprocess_input(
55 self.assertEqual(utils.preprocess_input(x).shape, x.shape)
56 self.assertEqual(utils.preprocess_input(xint).shape, xint.shape)
58 out1 = utils.preprocess_input(x, 'channels_last')
[all …]
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| D | resnet_v2.py | 125 def preprocess_input(x, data_format=None): function
126 return imagenet_utils.preprocess_input(
135 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| D | vgg16.py | 230 def preprocess_input(x, data_format=None): function
231 return imagenet_utils.preprocess_input(
240 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| D | vgg19.py | 235 def preprocess_input(x, data_format=None): function
236 return imagenet_utils.preprocess_input(
245 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| D | mobilenet.py | 444 def preprocess_input(x, data_format=None): function
445 return imagenet_utils.preprocess_input(x, data_format=data_format, mode='tf')
453 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| D | inception_resnet_v2.py | 379 def preprocess_input(x, data_format=None): function
380 return imagenet_utils.preprocess_input(x, data_format=data_format, mode='tf')
388 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| D | densenet.py | 361 def preprocess_input(x, data_format=None): function
362 return imagenet_utils.preprocess_input(
371 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| D | xception.py | 319 def preprocess_input(x, data_format=None): function
320 return imagenet_utils.preprocess_input(x, data_format=data_format, mode='tf')
328 preprocess_input.__doc__ = imagenet_utils.PREPROCESS_INPUT_DOC.format(
|
| /external/tensorflow/tensorflow/lite/testing/model_coverage/ |
| D | model_coverage_quantization_test.py | 129 img_array = keras.applications.inception_v3.preprocess_input(
143 img_array = keras.applications.inception_v3.preprocess_input(
159 img_array = keras.applications.inception_v3.preprocess_input(
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.applications.mobilenet_v3.pbtxt | 8 name: "preprocess_input"
|
| D | tensorflow.keras.applications.imagenet_utils.pbtxt | 8 name: "preprocess_input"
|
| D | tensorflow.keras.applications.resnet50.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.xception.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.mobilenet_v2.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.inception_resnet_v2.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.inception_v3.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.vgg16.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.vgg19.pbtxt | 12 name: "preprocess_input"
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.applications.mobilenet_v3.pbtxt | 8 name: "preprocess_input"
|
| D | tensorflow.keras.applications.imagenet_utils.pbtxt | 8 name: "preprocess_input"
|
| D | tensorflow.keras.applications.resnet50.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.inception_v3.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.vgg19.pbtxt | 12 name: "preprocess_input"
|
| D | tensorflow.keras.applications.mobilenet_v2.pbtxt | 12 name: "preprocess_input"
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| D | tensorflow.keras.applications.inception_resnet_v2.pbtxt | 12 name: "preprocess_input"
|