Searched refs:random_crop (Results 1 – 11 of 11) sorted by relevance
/external/tensorflow/tensorflow/python/kernel_tests/random/ |
D | random_crop_test.py | 36 crop = random_ops.random_crop(value, shape).eval() 47 crop = random_ops.random_crop(value, size=target) 64 crop = random_ops.random_crop(value, single, seed=7)
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/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
D | ops_test.py | 403 crop_lt = ops.random_crop(self.original_lt, {'probs': 3}) 407 crop_lt = ops.random_crop(self.original_lt, {'probs': 3}) 414 crop_lt = ops.random_crop(self.original_lt, {'probs': 3, 'channel': 2}) 421 crop_lt = ops.random_crop(self.original_lt, {'probs': 1}) 428 crop_0_lt = ops.random_crop( 431 crop_1_lt = ops.random_crop( 440 crop_0_lt = ops.random_crop( 443 crop_1_lt = ops.random_crop( 450 crop_0_lt = ops.random_crop( 453 crop_1_lt = ops.random_crop(crop_0_lt, {'probs': 3, 'channel': 2}, seed=1) [all …]
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D | ops.py | 562 def random_crop(labeled_tensor, shape_map, seed=None, name=None): function 601 crop_op = random_ops.random_crop(
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/external/tensorflow/tensorflow/contrib/labeled_tensor/ |
D | __init__.py | 109 random_crop = _ops.random_crop variable
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/external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
D | cifar_input.py | 87 image = tf.random_crop(image, [IMAGE_HEIGHT, IMAGE_WIDTH, NUM_CHANNEL])
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/external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/ |
D | cifar10_input.py | 172 distorted_image = tf.random_crop(reshaped_image, [height, width, 3])
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/external/tensorflow/tensorflow/python/ops/ |
D | random_ops.py | 288 def random_crop(value, size, seed=None, name=None): function
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.image.pbtxt | 156 name: "random_crop"
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.image.pbtxt | 156 name: "random_crop"
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D | tensorflow.pbtxt | 1764 name: "random_crop"
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/external/tensorflow/ |
D | RELEASE.md | 1992 * `tf.image.random_crop(image, [height, width])` is now 1993 `tf.random_crop(image, [height, width, depth])`, and `tf.random_crop` works
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