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authorGravatar Peter Hawkins <phawkins@google.com>2018-06-28 20:24:15 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-06-28 20:26:49 -0700
commit50839154899377f89367d851f6d1e2c45fcd6431 (patch)
tree871ebff61994a33d6ae94b5a7fa9e89156942d45 /configure
parentf04400f18f8e73664ba08a1a2f4d4e4f5bd49c79 (diff)
[TF:XLA] Add partial implementation of tf.FIFOQueue for XLA devices (e.g., TPU).
The idea is to have a host-side queue of device tensors. Operators dequeue_many, enqueue_many, and dequeue_up_to are not yet implemented because they require splitting/concatenating tensors, which will require calling into a compiled XLA compilation. Refactor queue operator implementations into libraries separate from the kernel registrations. Add support for ResourceOpKernels that are placed on non-CPU devices. Add support for allocating host-memory tensors during OpKernel construction. PiperOrigin-RevId: 202590292
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