| /external/tensorflow/tensorflow/python/layers/ |
| pooling_test.py | 57 layer = pooling_layers.MaxPooling2D([2, 2], strides=2)
72 layer = pooling_layers.MaxPooling2D([2, 2],
172 layer = pooling_layers.MaxPooling2D(2, strides=2)
179 layer = pooling_layers.MaxPooling2D(
188 layer = pooling_layers.MaxPooling2D([2, 2], strides=(2, 2), padding='same')
194 layer = pooling_layers.MaxPooling2D([2, 2], strides=2, padding='same')
200 layer = pooling_layers.MaxPooling2D([2, 2], strides=(2, 1), padding='same')
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| pooling.py | 244 @tf_export(v1=['layers.MaxPooling2D'])
245 class MaxPooling2D(keras_layers.MaxPooling2D, base.Layer):
272 super(MaxPooling2D, self).__init__(
312 layer = MaxPooling2D(pool_size=pool_size, strides=strides,
476 MaxPool2D = MaxPooling2D
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| layers.py | 65 from tensorflow.python.layers.pooling import MaxPooling2D
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| /external/tensorflow/tensorflow/contrib/distribute/python/examples/ |
| keras_mnist.py | 96 model.add(tf.keras.layers.MaxPooling2D(pool_size=(2, 2)))
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| mnist_eager_multigpu.py | 48 max_pool = tf.keras.layers.MaxPooling2D((2, 2), (2, 2), padding="same")
|
| mnist_tf1_tpu.py | 46 max_pool = tf.keras.layers.MaxPooling2D((2, 2), (2, 2), padding="same")
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| keras_image_model_correctness_test.py | 41 c1 = keras.layers.MaxPooling2D(pool_size=(2, 2))(c1)
|
| collective_all_reduce_strategy_test.py | 232 max_pool = l.MaxPooling2D((2, 2), (2, 2),
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| pooling.py | 281 @keras_export('keras.layers.MaxPool2D', 'keras.layers.MaxPooling2D')
282 class MaxPooling2D(Pooling2D):
325 super(MaxPooling2D, self).__init__(
[all...] |
| pooling_test.py | 103 keras.layers.MaxPooling2D,
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| __init__.py | 121 from tensorflow.python.keras.layers.pooling import MaxPooling2D
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| convolutional.py | 37 from tensorflow.python.keras.layers.pooling import MaxPooling2D
[all...] |
| /external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
| export_mnist_cnn.py | 59 net = tf.keras.layers.MaxPooling2D(pool_size=(2, 2), name='pool1')(net)
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/densenet/ |
| densenet.py | 234 self.pool1 = tf.keras.layers.MaxPooling2D(pool_size=(3, 3),
|
| /external/tensorflow/tensorflow/examples/tf2_showcase/ |
| mnist.py | 86 max_pool = l.MaxPooling2D((2, 2), (2, 2), padding='same')
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
| resnet50.py | 232 self.max_pool = layers.MaxPooling2D(
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| /external/tensorflow/tensorflow/contrib/keras/api/keras/layers/ |
| __init__.py | 110 from tensorflow.python.keras.layers.pooling import MaxPooling2D
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
| blocks.py | 436 self.max_pool = tf.keras.layers.MaxPooling2D(
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| /external/tensorflow/tensorflow/compiler/tests/ |
| eager_test.py | 322 pool = pooling.MaxPooling2D(2, 2, data_format=data_format)
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| gradients_test.py | 240 self.max_pool2d = tf_layers.MaxPooling2D(
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers.py | [all...] |
