- 13 9月, 2023 11 次提交
-
-
由 Diego Caballero 提交于
Remove `uint64` -> `double` -> `uint64` conversions from `NowMicros()` and their users. PiperOrigin-RevId: 564802323
-
由 Majid Dadashi 提交于
This broke some tests outside of tflite and darwinn. Temporarily adding back these patterns until the test issues are resolved. PiperOrigin-RevId: 564800351
-
由 Antonio Sanchez 提交于
PiperOrigin-RevId: 564799226
-
由 Gunhyun Park 提交于
At the moment, StableHLO does not have the spec and the interpreter for `broadcast`. `broadcast` is a special case of `broadcast_in_dim`, and this pass makes `broadcast -> broadcast_in_dim` conversion. PiperOrigin-RevId: 564796578
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564789520
-
由 Adam Cogdell 提交于
PiperOrigin-RevId: 564767887
-
由 Peter Hawkins 提交于
This was causing a missing symbol error for certain build targets. PiperOrigin-RevId: 564766163
-
由 Andrew Goodbody 提交于
Imported from GitHub PR https://github.com/openxla/xla/pull/5512 Some build tests were failing due to unresolved symbols so add in their dependencies This is a redo of https://github.com/tensorflow/tensorflow/pull/61489 which was not merged in time before the code was moved. Copybara import of the project: -- a1f80543ccb7b8cccad2e4ce4f33f18b68c3baf1 by Andrew Goodbody <andrew.goodbody@linaro.org>: Fix link errors in build tests Some build tests were failing due to unresolved symbols so add in their dependencies Merging this change closes #5512 PiperOrigin-RevId: 564758391
-
由 Rahul Joshi 提交于
PiperOrigin-RevId: 564749546
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564748979
-
由 Wilsin Gosti 提交于
PiperOrigin-RevId: 564739804
-
- 12 9月, 2023 29 次提交
-
-
由 Alan Kelly 提交于
PiperOrigin-RevId: 564721615
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564719695
-
由 Peter Hawkins 提交于
use_tfrt=True has been the default for over a year, and the flag currently does nothing. PiperOrigin-RevId: 564712316
-
由 Benjamin Kramer 提交于
It's going away in https://github.com/llvm/llvm-project/commit/5378117327317ac08eb25e52519f482af7571445 PiperOrigin-RevId: 564711879
-
由 Quentin Khan 提交于
PiperOrigin-RevId: 564693541
-
由 Alan Kelly 提交于
PiperOrigin-RevId: 564693001
-
由 A. Unique TensorFlower 提交于
Without this additional bazelrc file TSL will be built with the system compiler which happens to be GCC. I also had to disable a warning that was raised by clang. It puzzles me a bit that this is not needed for the Tensorflow build which definitely uses Clang. PiperOrigin-RevId: 564688122
-
由 Johannes Reifferscheid 提交于
PiperOrigin-RevId: 564686943
-
由 TensorFlower Gardener 提交于
PiperOrigin-RevId: 564685838
-
由 Johannes Reifferscheid 提交于
Also reduce the number of arguments to most lambdas. PiperOrigin-RevId: 564654639
-
由 Benjamin Kramer 提交于
Updates LLVM usage to match [5bab59de4463](https://github.com/llvm/llvm-project/commit/5bab59de4463) PiperOrigin-RevId: 564649900
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564649508
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564649507
-
由 Benjamin Chetioui 提交于
PiperOrigin-RevId: 564648984
-
由 Kanglan Tang 提交于
The following changes are included: - Starting from TF2.13v, TensorFlow uses Clang as compiler for Linux. Thus, we update the toolchain in release_cpu_linux and release_gpu_linux configs. - Preserve the old linux build options in the unsupported_cpu_linux and unsupported_gpu_linux configs. If your project fails to build with Clang, you can use these unsupported flags to replace the release flags in your build command. However, please note that the old toolchain is no longer officially supported by TensorFlow and the unsupported configs will be removed soon. We strongly recommend that you migrate to Clang as your compiler for TensorFlow Linux builds. Instructions are available in the official documentation: https://www.tensorflow.org/install/source#install_clang_recommended_linux_only. Another good alternative is to use our Docker containers to build and test TensorFlow: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/tf_sig_build_dockerfiles. - Add official linker options and container environment settings to release linux configs. - Deduplicate build options in cpu.bazelrc and gpu.bazelrc. - Delete outdated CI jobs. PiperOrigin-RevId: 564620926
-
由 TensorFlower Gardener 提交于
PiperOrigin-RevId: 564589017
-
由 wenscarl 提交于
Imported from GitHub PR https://github.com/openxla/xla/pull/5498 Remove unnecessary padding for vector bias for non-fp8 cublasLt Matmul rewrite. Copybara import of the project: -- fb25577449faf13ef424a827b4896a6f7e2c0f53 by wenscarl <shuw@nvidia.com>: Add CollectivePermute to recursive pattern matching whitelist. -- b02af4b60279933d4a19ab54b9f4e9291d418210 by shuw <shuw@nvidia.com>: Fix vector bias padding for f32 Merging this change closes #5498 PiperOrigin-RevId: 564585859
-
由 Wilsin Gosti 提交于
#tf-data The default value of `warm_start` should be `None` instead of `False`. Setting it to `False` as the default value may break the `tf.data.Options` propagation when users set it to `True` somewhere in the input pipeline. PiperOrigin-RevId: 564585601
-
由 Wilsin Gosti 提交于
#tf-data Output of a model node can be deleted by a thread while some of its input nodes are in the process of being deleted. If such a case happens, the `output_` of these input nodes becomes a dangling pointer. This CL adds a check for such a scenario. PiperOrigin-RevId: 564583894
-
由 Yash Katariya 提交于
PiperOrigin-RevId: 564578779
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564577405
-
由 Majid Dadashi 提交于
These patterns are used only by TFLite which now has direct support for stablehlo.scatter. PiperOrigin-RevId: 564569917
-
由 Grant Jensen 提交于
PiperOrigin-RevId: 564559805
-
由 Robert Suderman 提交于
Sometimes scales are zero in the all zero case. This is obviously silly but it triggers a failure in the pipeline. Make scale the minimum scale value as whatevs. PiperOrigin-RevId: 564556649
-
由 TensorFlower Gardener 提交于
PiperOrigin-RevId: 564551916
-
由 Anlun Xu 提交于
Add the custom call xla.gpu.init_cuBLAS to the beginning of the entry function of the module, when the module contains a gemm. PiperOrigin-RevId: 564550744
-
由 Grant Jensen 提交于
The user will provide inputs via AHWB. Behind the scenes we bind the AHWB's to SSBO. Both cl & gl inference are supported. PiperOrigin-RevId: 564547199
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564546615
-
由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 564546472
-