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Imported from GitHub PR https://github.com/openxla/xla/pull/12465
Copybara import of the project:
--
4a050dce154b924b98134294f3f15ffce35bdcbb by Ilia Sergachev <isergachev@nvidia.com>:
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`Eigen::array` is being removed upstream in favor of `std::array`.
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"Hi @kralka ,\r\n\r\nI have replicated the issue with `TF2.15v` and `tf-nightly` as well. On Colab the code executes indefinitely due to naming collision of generator and finally runtime will crash without any logs. Attaching [gist](https://colab.sandbox.google.com/gist/SuryanarayanaY/07facdb64fa42d474b68cbe875040f... | 2024-05-14T16:46:32 | 2024-06-04T13:36:47 | 2024-06-04T13:36:43 | NONE | null | null | null | ### Issue type
Documentation Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.15.0
### Custom code
Yes
### OS platform and distribution
colab
### Mobile device
_No response_
### Python version
3.10.12
### Bazel version
_No response_
### GCC/co... | {
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In some cases `v._distribute_strategy` can be None, which was causing an AttributeError when trying to check if the `extended` field matched the expected value.
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Imported from GitHub PR https://github.com/openxla/xla/pull/12433
Copybara import of the project:
--
856f1ddb05b0cecf1092aa3547611274b27f0796 by Ilia Sergachev <isergachev@nvidia.com>:
[GPU] Make cuDNN fusion test run on H100.
Merging this change closes #12433
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"@fzd370 In TensorFlow v2.10, the default behavior is to choose the GPU with the lowest ID. This typically leads to selecting the integrated Intel GPU over a dedicated Nvidia GPU.Please ensure you're running your Python scripts or Jupyter notebooks within the activated virtual environment where you installed Tensor... | 2024-05-14T13:36:36 | 2024-05-30T01:49:36 | 2024-05-30T01:49:33 | NONE | null | null | null | ### Issue type
Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.10.1
### Custom code
Yes
### OS platform and distribution
Windows 11
### Mobile device
_No response_
### Python version
3.9.19
### Bazel version
_No response_
### GCC/com... | {
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"Hi @majiddadashi Any update on this PR? Please. Thank you!"
] | 2024-05-14T13:35:12 | 2024-06-07T17:23:04 | null | CONTRIBUTOR | null | false | {
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"Hi @apach301 is this issue still open?\r\nIf so, could you tell me how to replicate the bug so that I may have a go at it?",
"> Hi @apach301 is this issue still open?\n> \n> If so, could you tell me how to replicate the bug so that I may have a go at it?\n\nThis bug was detected by static analysis, therefore I... | 2024-05-14T13:34:35 | 2024-05-29T19:00:39 | null | CONTRIBUTOR | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16.1
### Custom code
No
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
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This makes it easier to debug issues with Triton, since [persisted autotuning](https://openxla.org/xla/persisted_autotuning) does not offer a workflow that would be efficient enough:
- `--xla_gpu_dump_autotune_results_to=` doesn't wor... | {
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"@AceAbhi147 Could you please confirm that you have followed the steps properly and also referred the tested build configurations? Please let us know!\r\n\r\n\r\n\r\n\r\nThank you!",
"This issue is sta... | 2024-05-14T13:05:25 | 2024-05-30T01:49:39 | 2024-05-30T01:49:36 | NONE | null | null | null | I have a ubuntu 22.0.4 LTS machine running on virtual box. I am trying to build tensorflow by cloning the repo and following the steps defined here: [build from source].(https://www.tensorflow.org/install/source) I have checkout the master branch. And I have installed llvm-14 clang-14
rather than 17 as I was getting s... | {
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"Hi @jpienaar Any update on this PR? Please. Thank you!"
] | 2024-05-14T12:28:28 | 2024-06-07T17:22:29 | null | CONTRIBUTOR | null | false | {
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"followers_url": "... | null | [] | 2024-05-14T12:28:06 | 2024-05-14T14:47:53 | null | CONTRIBUTOR | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16.1
### Custom code
No
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
### GCC/comp... | {
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} | Avoid FindIndex function by using the inverse permutation.
Let p be a permutation. FindIndex(p, x) should return y where x = p[y].
This is equivalent to p^-1[x] = p^-1[p[y]] = y, so y = p^-1[x].
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"merged_at": "2024-05-... | Canonicalize affine expression trees in simplifier.
I don't know where the current non-determinism comes from, but this should
fix it.
The particular order is not important, but it being canonical is. These
expressions are used for codegen in the new emitters, so the simplification
must be deterministic.
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} | Move variable declaration into preprocessor branch
This avoid warnings about unused variables when the ROCm branch is taken.
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Imported from GitHub PR https://github.com/openxla/xla/pull/12434
Copybara import of the project:
--
723c9bb29adfcc33c015b74f90ce8024c2f79255 by Ilia Sergachev <isergachev@nvidia.com>:
[GPU] Fix OSS compilation problems in a previously di... | {
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Remove all `#if GOOGLE_CUDA` and friends from gpu_compiler.cc
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"@tanpengshi The FlexDelegate functionality is integrated within the TensorFlow Lite interpreter itself when built with Select Ops enabled. Could you please upgrade to the latest TF version and let us know as the older TF versions are not actively supported. Thank you!",
"I have tried invoking the interpreter and... | 2024-05-14T09:50:17 | 2024-05-17T04:05:37 | 2024-05-17T04:04:27 | NONE | null | null | null | IDE: Xcode 15
Platform: iOS17
TensorFlow version: r2.9
I am developing both iOS and Android apps that are running with TensorFlow Lite model. Because my model uses LSTM, I have to make use of TFSelectOps.
In addition, because the TensorFlowLiteSelectTFOps library is large in memory size, I have to do a selecti... | {
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Updates LLVM usage to match
[79a6a7e28fff](https://github.com/llvm/llvm-project/commit/79a6a7e28fff)
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The result of `GetExhaustiveTritonConfigs` is cached in the autotuner class instance, so should not depend on the input dot instruction. Therefore, removing the `has_8_bit_operand` parameter from the method signature.
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"Hi **@LongZE666** ,\r\n- Sorry for the delay, Can you please try with recent TF version? I tried with TF-nightly and I cannot reproduce the error. It might be solved in upcoming version. Please check the [gist](https://colab.sandbox.google.com/gist/Venkat6871/14f9445b68ea666c07e766277ecd3299/67531_2-16-1-nightly-v... | 2024-05-14T08:47:15 | 2024-06-07T01:50:58 | 2024-06-07T01:50:55 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf 2.16.1
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
### GCC/c... | {
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"@SuryanarayanaY I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/ab3b3fc7c53e6036db08266a6734e73e/67529.ipynb). Thank you!"
] | 2024-05-14T08:39:21 | 2024-05-15T06:49:41 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.16.1
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
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"Hi @LongZE666 ,\r\n\r\nI have replicated the behaviour with tf-nightly. Attached snapshot below. Thanks!\r\n\r\n<img width=\"1494\" alt=\"Screenshot 2024-05-15 at 9 33 20 AM\" src=\"https://github.com/tensorflow/tensorflow/assets/116063290/c6073836-e118-45bc-86ef-fd3cf391c831\">\r\n"
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Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.16.1
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
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] | 2024-05-14T08:23:10 | 2024-05-15T06:12:48 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.16.1
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
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Cleanup only, NFC intended.
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Error:
```
//tensorflow/core/data/service/snapshot:snapshot_stream_writer_checkpoint_test TIMEOUT in 3 out of 3 in 96.0s
Stats over 3 runs: max = 96.0s, min = 66.2s, avg = 79.4s, dev = 12.4s
tensorflow/core/data/service/snapshot/snapshot_stream_writer_checkpoint_test/test.log
tenso... | {
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