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"torchvision/csrc/cpu/decoder/util.h" did not exist on "f2600c2e6ac0d3f0dee2345c821bade90b2d9328"
Commit 0537226c authored by Dan Kondratyuk's avatar Dan Kondratyuk Committed by A. Unique TensorFlower
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Support arbitrary dimensions in stochastic depth. 

PiperOrigin-RevId: 363188927
parent 1180f37e
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official/vision/beta/modeling/layers/nn_layers.py
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...@@ -232,7 +232,7 @@ class StochasticDepth(tf.keras.layers.Layer): ...@@ -232,7 +232,7 @@ class StochasticDepth(tf.keras.layers.Layer):
batch_size = tf.shape(inputs)[0] batch_size = tf.shape(inputs)[0]
random_tensor = keep_prob random_tensor = keep_prob
random_tensor += tf.random.uniform( random_tensor += tf.random.uniform(
[batch_size, 1, 1, 1], dtype=inputs.dtype) [batch_size] + [1] * (inputs.shape.rank - 1), dtype=inputs.dtype)
binary_tensor = tf.floor(random_tensor) binary_tensor = tf.floor(random_tensor)
output = tf.math.divide(inputs, keep_prob) * binary_tensor output = tf.math.divide(inputs, keep_prob) * binary_tensor
return output return output
......
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