experiments/STT-tensorflow
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PiperOrigin-RevId: 312090528
Change-Id: I474709513b01db8c24c50fd670029451c51cb622
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Rohan Jain 2020-05-18 09:08:29 -07:00 committed by TensorFlower Gardener
parent 55aee9e550
commit 46f7108d78
1 changed files with 4 additions and 2 deletions
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tensorflow/python/keras/layers/embeddings.py
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@ -129,8 +129,10 @@ class Embedding(Layer):
# since it knows all kernels using the variable only exist on CPU. # since it knows all kernels using the variable only exist on CPU.
# When eager execution is enabled, the placement decision has to be made # When eager execution is enabled, the placement decision has to be made
# right now. Checking for the presence of GPUs to avoid complicating the # right now. Checking for the presence of GPUs to avoid complicating the
# TPU codepaths which can handle sparse optimizers. # TPU codepaths which can handle sparse optimizers. But if we are within
if context.executing_eagerly() and context.context().num_gpus(): # a tf.function, we go back the graph mode logic and rely on the placer.
if (context.executing_eagerly() and context.context().num_gpus() and
not ops.inside_function()):
with ops.device('cpu:0'): with ops.device('cpu:0'):
self.embeddings = self.add_weight( self.embeddings = self.add_weight(
shape=(self.input_dim, self.output_dim), shape=(self.input_dim, self.output_dim),