| 982549ea3423df4270ff154e5c764beb43d472da |
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26-Jan-2018 |
Rasmus Munk Larsen <rmlarsen@google.com> |
Branch 183429339 (#16469)
* Change `reduce_logsumexp` to internally use `reshape` rather than `squeeze`
since the latter requires the `axis` arg to be a Python `list`.
PiperOrigin-RevId: 183396533
* Kernel utils to support broadcast add and mul.
PiperOrigin-RevId: 183397494
* Updating sparsify_gather.
PiperOrigin-RevId: 183402917
* [tf.data] Move slow-path-related code into the slow path in IteratorHandleOp::Compute().
This slightly reduces the amount of work performed when an iterator is accessed (after the first access), and potentially reduces contention if concurrent steps are accessing the same iterator.
PiperOrigin-RevId: 183406221
* Cleanup: Ran clang-format on all *.{cc,h} in under grappler.
PiperOrigin-RevId: 183406440
* Increase shard count of //third_party/tensorflow/python:nn_batchnorm_test to avoid timeouts
When run under asan, the test runs for about 5 minutes, and sometimes
longer, causing frequent timeouts.
This change increases the shard count of the test to 4, which brings the run time
of the longest running shard under asan to about 2 minutes.
PiperOrigin-RevId: 183414888
* Add available choices to toco flags and fix minor formatting issues.
PiperOrigin-RevId: 183415713
* Performance improvements to some GPU code to use shared locks instead of unique locks for some hotspot cases.
PiperOrigin-RevId: 183418559
* [XLA] Improve error message for bad slices.
PiperOrigin-RevId: 183420038
* Fix py3 build rules for all py tests under py2tf.
PiperOrigin-RevId: 183422144
* Fix bug with Operation._control_inputs setter.
PiperOrigin-RevId: 183422192
* Make softmax_op_test.py work with C API enabled.
PiperOrigin-RevId: 183422829
* Cleanup: Ran clang-format on all *.{cc,h} files in tensorflow/core/kernels.
PiperOrigin-RevId: 183423961
* Fix the documentation for the dense layer for how rank > 2 inputs are handled.
PiperOrigin-RevId: 183425868
* Cleanup: Ran clang-format on all *.{cc,h} in tensorflow/core/ops.
PiperOrigin-RevId: 183429339
/external/tensorflow/tensorflow/core/kernels/concat_lib_cpu.h
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| 2c8d0dca978a246f54c506aae4587dbce5d3bcf0 |
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21-Feb-2017 |
Benoit Steiner <benoitsteiner@users.noreply.github.com> |
OpenCL Improvements (#7596)
* OpenCL improvements
Added Tile, Transpose and Range Ops double support for SYCL device.
Moved gpu_device_name() to test_util.py so now it can be used in force_gpu to pull either GPU or SYCL depending on what is available in the system.
* Improvements to the SYCL device support
- Registration of Type Traits required for stride slice op
- Registration of ConcatOffset, _ListToArray, _ArrayToList
Pad, Reverse ( CPU ), ReverseV2 ( CPU ), Size, ExpandDims,
Squeeze, StridedSlice, StridedSliceGrad, StridedSliceAssign,
TileGrad, InvertPermutation, Transpose
- Registration of Sycl kernels only for essential data types
- Floor_div_real has been disabled for SYCL device
- Device in control_flow_ops_py_test.py needed to be lower cased
* SYCL support improvements (#31)
* Improvements to the SYCL device support
This commit reduces number of failing tests when TensorFlow compiles
for OpenCL support.
- Registration of Type Traits required for stride slice op
- Registration of ConcatOffset, _ListToArray, _ArrayToList
Pad, Reverse ( CPU ), ReverseV2 ( CPU ), Size, ExpandDims,
Squeeze, StridedSlice, StridedSliceGrad, StridedSliceAssign,
TileGrad, InvertPermutation, Transpose
- Registration of Sycl kernels only for essential data types
- Floor_div_real has been disabled for SYCL device
- Device in control_flow_ops_py_test.py needed to be lower cased
* Fixes & Version bump (#33)
* Fix Unbuntu typo. (#38)
unbuntu -> ubuntu
* Add problem descriptions and solutions (#35)
* Add ComputeCpp lib folder to LD_LIBRARY_PATH
* Add ImportError problem + solution
If you get the error message "ImportError: libComputeCpp.so: cannot open shared
object file: No such file or directory", make sure you have added the
path to ComputeCpp's lib folder to your `LD_LIBRARY_PATH`.
* Add another ImportError problem + solution
If you get the error message "ImportError: cannot import name
'pywrap_tensorflow'" you may be standing in the TensorFlow directory.
* Improvements to the SYCL device support
* Registers FloorDiv, FloorMod and SoftMax Ops for SYCL device
* Workaround for 0 bytes allocation for SYCL device (#42)
* Sycl improvements (#44)
- Eigen version bump
- Extends Cast and Cwise ops benchmark to cover Sycl device
- Extends device_lib_test.py to cover Sycl device
- Registers int32, string and ResourceHandler to run on host for
Enter and RefEnter Sycl Ops
- Enables RecudeMax op for Sycl since Eigen implementation is ready
- Registers Less op for Sycl device
* Improved the formatting of the SYCL code
* Fixed compilation error.
* Made sure that using test sessions with force_gpu=True forces the
placement on a gpu device even if none is detected.
/external/tensorflow/tensorflow/core/kernels/concat_lib_cpu.h
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