| bf5326a75412e59985b727b26f5cad01315b6c89 |
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20-Dec-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Move XlaResource into its own file, and refactor it into a better-abstracted class. No functional changes intended.
PiperOrigin-RevId: 179734920
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| a1c2e20fe5cf04965ce206911ff1a7446a24fadf |
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08-Dec-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Introduce an experimental API to pass sharding information from tensorflow to XLA.
PiperOrigin-RevId: 178366566
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 117bcd9cb5f3e55ce1fcc09a0bb4963c32bad8ce |
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02-Nov-2017 |
Rohan Jain <rohanj@google.com> |
Adding support for local device names for ProcessFLR. Now one can specify a remote target as /device:CPU:0 or /device:GPU:0 etc.
PiperOrigin-RevId: 174252575
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 27412f3b64ad09131ce330a0b91938af1931d515 |
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01-Nov-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Add compiler/tf2xla/sharding_util.h with utilities for getting the core device from
a Node.
PiperOrigin-RevId: 174133602
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| efcbf6e34e4519172d38be76c08c2d99792fd7be |
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30-Oct-2017 |
A. Unique TensorFlower <gardener@tensorflow.org> |
Supported in this CL:
* Attaching sharding descriptors to HLO ops
* Partitioning the HLO graph into per-device computations based on those sharding descriptors.
* All operator support for device placement and ops replicated on all devices.
* Elementwise op support for tiled shardings.
* 2D Convolution support for tiled shardings (no stride or dilation support).
PiperOrigin-RevId: 173946036
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| dc500c869721e93ae1f3036b677a1d9d424e9d23 |
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06-Oct-2017 |
Jacques Pienaar <jpienaar@google.com> |
[TF2XLA] Update device name in convert and redo check that name parsing is correct.
* Update ConvertGraphToXla to use the new form for setting the assigned device name.
* Remove some stale comments.
* Revert workaround that allowed the requested device name to not be parsed.
PiperOrigin-RevId: 171314671
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 78af510b9aab4094a895851d61e2ea359a9b4985 |
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06-Oct-2017 |
Jacques Pienaar <jpienaar@google.com> |
Temporarily don't error out if the requested device name cannot be parsed.
PiperOrigin-RevId: 171246995
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 85c4a379985b46930ece49edc4347af628ee2928 |
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24-Sep-2017 |
Peter Hawkins <phawkins@google.com> |
[XLA] Adds an API to attach a device assignment to HLO operators.
PiperOrigin-RevId: 169841868
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 1f20a786d69c4b91a4015fe3f4df8c23bd345f40 |
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20-Sep-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Add support for reading and writing TensorArray gradients in a while loop.
Previously, there was no code to handle propagating the values of a TensorArray's gradients into and out of loops. This change passes TensorArray gradients into and out of loops by packing them up as a (base array, gradient values...) tuple.
PiperOrigin-RevId: 169338418
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| c19e6cac0413b0b93d5a15f9d4dc7c861aa1c734 |
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07-Jun-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Initial implementation of TensorArray ops.
The XLA implementation of TensorArrays is more restrictive than regular TensorArrays:
* XLA TensorArrays must have dynamic_size=False.
* all elements in an XLA TensorArray must have the same shape.
* writes always add their values to any existing values; neither reads nor writes ever issue errors. Out-of-bounds writes currently wrap.
Refactor Variable handling in the TF/XLA bridge. Use a XlaVariable* to refer to variables inside compilation rather than a numerical ID. Allow for variables that don't correspond to variables known to the user. Also use XlaVariable to handle TensorArrays.
PiperOrigin-RevId: 158322041
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| f28935a7d280b6ba75fe93fe35783d87b9cc2ec9 |
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05-May-2017 |
Brennan Saeta <saeta@google.com> |
Implement ClusterSpec Propagation in TF Master
ClusterSpec propagation is a capability upgrade for TensorFlow that should make
it much easier to (1) build distributed TensorFlow clusters, and (2) handle
node failures. The ClusterSpec propagation capability allows TensorFlow workers
to be booted independently of each other, and with no knowledge about others.
The client can then construct a ClusterDef (ClusterSpec), and then send it
to the TF master at session creation. The master in turn then propagates the
ClusterDef along to all of the workers.
Change: 155159972
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 00d0347ccebc3e29ffe541703b5a2f929b89da36 |
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10-Mar-2017 |
Brennan Saeta <saeta@google.com> |
[TF:XLA] Add debug metadata to HLO ops.
In order to support end-to-end debugging and performance profiling tooling for
the TensorFlow::XLA toolchain, this change adds a DebugMetadata proto to the
HloInstruction class, and pipes it through the tf2xla stack.
Change: 149703349
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 542c3cbf711c4b89310fa4046c48150d29564008 |
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22-Feb-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Add support for resource variables to the Tensorflow/XLA bridge.
Change: 148176223
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| a8c325e57c1077f1e8df540a20bd8b36d3d1f968 |
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15-Feb-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Split XlaOpRegistry out of xla_compilation_device.{cc,h} into a separate xla_op_registry.{cc,h}.
Move XlaExpression out of xla_context.{cc,h} into xla_compilation_device.{cc,h}, since it is used to wrap computation handles on the XLA compilation device.
Change just moves code around, there are no functional changes.
Change: 147632770
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 4e24bec4182b2ac63e3b6666cbd3794912ef41a8 |
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11-Feb-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Refactor XlaContext, moving some of its reponsibilities to XlaCompiler and XlaOpKernelContext.
Move handling of arguments and return values to XlaCompiler. Introduce a new XlaContext::HandleOrConstant structure, use it for both arguments and results.
Make XlaCompiler own the xla::ComputationBuilder.
Move code for wrapping/unwrapping XlaExpressions in Tensors to XlaOpKernelContext, which is its only consumer.
No functional changes.
Change: 147250375
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 96007205c42d591ef5cef2d7e8245b780f44f0d7 |
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07-Feb-2017 |
Peter Hawkins <phawkins@google.com> |
[TF:XLA] Disable the XLA CPU jit by default when the JIT is requested via the OptimizerOptions.
The XLA CPU JIT is not optimized yet, and should not be enabled by default since it is usually slower than the standard Tensorflow CPU kernels.
Change: 146811646
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 83c6e0c63acdcab2c58c4ed7220bfa58879b1d57 |
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12-Jan-2017 |
Jonathan Hseu <jhseu@google.com> |
Switch open-source to use jemalloc for CPU Tensor memory allocation, gRPC, and other places where we call malloc/free.
- Only enabled on Linux for now.
- Added as a ./configure option defaulting to enabled.
Change: 144266237
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
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| 1e67c90e2caceeff82d09793d1ef5fa0300d219b |
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09-Jan-2017 |
Peter Hawkins <phawkins@google.com> |
Initial open-source release of XLA: Accelerated Linear Algebra.
XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators.
XLA is still experimental; we are releasing it early to get the community involved.
Change: 143990941
/external/tensorflow/tensorflow/compiler/tf2xla/xla_compilation_device.cc
|