January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Simple placement
TensorFlow follows these simple rules, also known as the simple placement, for placing the variables on the devices:
If the graph was previously run, then the node is left on the device where it was placed earlierElse If the tf.device() block is used, then the node is placed on the specified deviceElse If the GPU is present then the node is placed on the first available GPUElse If the GPU is not present then the node is placed on the CPU
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