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This is the first step in splitting TritonSupport into legacy and current infra.
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```
A -> B -> C
`---------^
```
In this case, inline `B` into `A`. This is a workaround for
limitations of our partitioner. A proper solution needs to
compute the actual indexing.
Fixes RNG slowness.
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"Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).\n\nView this [failed invocation](https://github.com/tensorflow/tensorflow/pull/69589/checks?check_run_... | 2024-06-12T11:34:54 | 2024-06-12T11:35:00 | null | NONE | null | true | {
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The thread pool was missing for example during thunks runtime convolution tests.
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We can avoid testing::EqualsProto by comparing the proto string serialization.
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This simplifies tests to not use the SoftMax pattern if they don't need to when using the Generic emitter.
Also simplifies and unifies some names.
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"Canonical issue #63362. It also contains some work-arounds. TF 2.17 branch cut just happened, maybe this will get fixed now?\r\n\r\nSee also: https://github.com/tensorflow/tensorflow/issues/63362#issuecomment-1990133275",
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Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.16
### Custom code
Yes
### OS platform and distribution
ubuntu 24.04
### Mobile device
wsl
### Python version
3.10
### Bazel version
_No response_
### GCC/compiler v... | {
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Also simplifies and unifies some names.
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Updates LLVM usage to match
[c012e487b724](https://github.com/llvm/llvm-project/commit/c012e487b724)
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Updates LLVM usage to match
[c012e487b724](https://github.com/llvm/llvm-project/commit/c012e487b724)
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The abstraction does not add much value over just using Service class.
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13477 from shraiysh:fix-while-loop-derived-instruction 9563c00004bc2a988d01964f213e5dc4dc535489
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Imported from GitHub PR https://github.com/openxla/xla/pull/13462
This PR https://github.com/openxla/xla/pull/11514 added workspace allocation to cublas-lt. Basically, it doubled the implementation of a number of functions in g... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/13639
Resolves a use-after-free when matching and rewriting layer norm patterns. See #13606.
Copybara import of the project:
--
91ebf7b4a2ac90ebadce27d1a73e88fb4513aed4 by Philipp Hack <phack@nvidia.com>:
Resolves a use-... | {
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ParseTextProto is already used in two tests.
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Imported from GitHub PR https://github.com/openxla/xla/pull/13569
Copybara import of the project:
--
6ec3e04a2982ceecadc17d51adb31f61cea70067 by Ilia Sergachev <isergachev@nvidia.com>:
[GPU] Let constants be emitted into a separate LLVM module.
--
e4d5869... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/11583
The first step to implement weight offloading is to support the existing host memory kind for GPUs: pinned_host.
Below are examples of the supported Jax APIs:
```
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Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
binary
### TensorFlow version
2.16.1
### Custom code
No
### OS platform and distribution
Linux Ubuntu 22.04
### Mobile device
_No response_
### Python version
3.10.14
### Bazel version
_No response_
### GCC/compi... | {
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} | PR #13411: [XLA:GPU][Allow cuda async allocator to use non-default pool
Imported from GitHub PR https://github.com/openxla/xla/pull/13411
This patch allows user to construct the GpuCudaMallocAsyncAllocator to use the non-default memory pool, this is required if we want the allocator to just allocate for a particular ... | {
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Updates LLVM usage to match
[3af35251c8cd](https://github.com/llvm/llvm-project/commit/3af35251c8cd)
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Reverts changelist 641306427
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Also add a test for the GPU SPMD pipeline.
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Updates LLVM usage to match
[3af35251c8cd](https://github.com/llvm/llvm-project/commit/3af35251c8cd)
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