| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.applications.pbtxt | 65 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
69 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
73 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
77 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
81 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
85 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
89 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
93 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
97 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
101 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
[all …]
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| D | tensorflow.keras.applications.efficientnet.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
17 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
21 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
25 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
29 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
33 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.resnet.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.densenet.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.resnet_v2.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.nasnet.pbtxt | 5 …argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'cl…
9 …argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'cl…
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.applications.pbtxt | 65 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
69 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
73 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
77 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
81 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
85 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
89 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
93 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
97 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
101 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
[all …]
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| D | tensorflow.keras.applications.efficientnet.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
17 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
21 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
25 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
29 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
33 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.densenet.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.resnet.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.resnet_v2.pbtxt | 5 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
9 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
13 …argspec: "args=[\'include_top\', \'weights\', \'input_tensor\', \'input_shape\', \'pooling\', \'cl…
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| D | tensorflow.keras.applications.nasnet.pbtxt | 5 …argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'cl…
9 …argspec: "args=[\'input_shape\', \'include_top\', \'weights\', \'input_tensor\', \'pooling\', \'cl…
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| /external/tensorflow/tensorflow/python/keras/applications/ |
| D | efficientnet.py | 204 include_top=True, argument
278 if weights == 'imagenet' and include_top and classes != 1000:
288 require_flatten=include_top,
367 if include_top:
395 if include_top:
523 def EfficientNetB0(include_top=True, argument
537 include_top=include_top,
549 def EfficientNetB1(include_top=True, argument
563 include_top=include_top,
575 def EfficientNetB2(include_top=True, argument
[all …]
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| D | densenet.py | 131 include_top=True, argument
202 if weights == 'imagenet' and include_top and classes != 1000:
212 require_flatten=include_top,
245 if include_top:
276 if include_top:
323 def DenseNet121(include_top=True, argument
330 return DenseNet([6, 12, 24, 16], include_top, weights, input_tensor,
336 def DenseNet169(include_top=True, argument
343 return DenseNet([6, 12, 32, 32], include_top, weights, input_tensor,
349 def DenseNet201(include_top=True, argument
[all …]
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| D | resnet_v2.py | 34 include_top=True, argument
53 include_top,
65 include_top=True, argument
84 include_top,
96 include_top=True, argument
115 include_top,
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| D | resnet.py | 64 include_top=True, argument
143 if weights == 'imagenet' and include_top and classes != 1000:
153 require_flatten=include_top,
185 if include_top:
208 if include_top:
456 def ResNet50(include_top=True, argument
471 return ResNet(stack_fn, False, True, 'resnet50', include_top, weights,
477 def ResNet101(include_top=True, argument
492 return ResNet(stack_fn, False, True, 'resnet101', include_top, weights,
498 def ResNet152(include_top=True, argument
[all …]
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| D | nasnet.py | 71 include_top=True, argument
155 if weights == 'imagenet' and include_top and classes != 1000:
259 if include_top:
282 if include_top:
296 if include_top:
324 include_top=True, argument
390 include_top=include_top,
401 include_top=True, argument
467 include_top=include_top,
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| D | vgg16.py | 47 include_top=True, argument
123 if weights == 'imagenet' and include_top and classes != 1000:
132 require_flatten=include_top,
184 if include_top:
210 if include_top:
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| D | vgg19.py | 47 include_top=True, argument
123 if weights == 'imagenet' and include_top and classes != 1000:
132 require_flatten=include_top,
190 if include_top:
215 if include_top:
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| D | applications_test.py | 104 lambda: app(weights=None, include_top=False))
114 lambda: app(weights=None, include_top=False, pooling='avg'))
124 lambda: app(weights=None, include_top=False, input_shape=input_shape))
133 lambda: app(weights=None, include_top=False, input_shape=input_shape))
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| D | mobilenet_v3.py | 156 include_top=True, argument
169 if weights == 'imagenet' and include_top and classes != 1000:
303 if include_top:
335 if include_top:
357 include_top=True, argument
385 include_top, weights, input_tensor, classes, pooling,
393 include_top=True, argument
427 include_top, weights, input_tensor, classes, pooling,
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| D | mobilenet.py | 89 include_top=True, argument
174 if weights == 'imagenet' and include_top and classes != 1000:
199 require_flatten=include_top,
257 if include_top:
298 if include_top:
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| D | inception_resnet_v2.py | 45 def InceptionResNetV2(include_top=True, argument
123 if weights == 'imagenet' and include_top and classes != 1000:
133 require_flatten=include_top,
207 if include_top:
231 if include_top:
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| D | xception.py | 53 include_top=True, argument
123 if weights == 'imagenet' and include_top and classes != 1000:
133 require_flatten=include_top,
277 if include_top:
299 if include_top:
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| D | mobilenet_v2.py | 99 include_top=True, argument
190 if weights == 'imagenet' and include_top and classes != 1000:
268 require_flatten=include_top,
371 if include_top:
395 if include_top:
|