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Imported from GitHub PR https://github.com/openxla/xla/pull/10782
Emit asynchronous memory copies between hosts and devices using additional streams while the main stream does the computation. The async copies are guarded by RecordEven... | {
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"@advnpzn,\r\nCould you please provide the complete error log of the installation process which helps us to debug the issue in an effective way. Thank you!",
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Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf 2.16.1
### Custom code
No
### OS platform and distribution
Windows 11 23H2 Build 22631.3296
### Mobile device
N/A
### Python version
3.11.2
### Bazel version
6.5.0
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1. Fold double transpose in TF dialect to enable an existing prepare_tf pattern that moves a single transpose across a q-dq pair.
2. Fold a trivial reshape into proceeding transpose op to enable existing prepare_tf pattern that moves a single transpose across a q-dq pair.
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"Hi @plopresti ,\r\n\r\nAFAIK the current TensrRT version that TF tested is 8.X version. 10.X version also will be supported in near future but can't sure of exact timeline.",
"@SuryanarayanaY Can you give me any link to this compatibility matrix between TensorFlow and TensorRT ?",
"Apparently TensorRT support ... | 2024-04-25T21:38:55 | 2024-06-12T00:19:04 | null | CONTRIBUTOR | null | null | null | ### Issue type
Feature Request
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
nightly
### Custom code
No
### OS platform and distribution
Linux RedHat 9.3
### Mobile device
_No response_
### Python version
3.11
### Bazel version
6.5.0
### GCC/comp... | {
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HloInstructionAdaptor should be an "iterator" to HloFusionAdaptor. Creating an instruction adaptor without fusion adaptor doesn't make sense.
Using raw pointer inside one pass is fine, because instruction are only deleted after the ... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/11345
Row reduction did not enable vectorization if num_threads_x <= WarpSize() previously due to half or more of the threads don't do anything. But for current tiling implementation, it is n... | {
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} | PR #11757: [GPU] Enable workspace support in cuDNN GEMM fusions.
Imported from GitHub PR https://github.com/openxla/xla/pull/11757
Copybara import of the project:
--
a2b4e3ec5f508e64301307b7eb39d7c4c7009023 by Ilia Sergachev <isergachev@nvidia.com>:
[GPU] Enable workspace support in cuDNN GEMM fusions.
Merging th... | {
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} | PR #10638: Handle no-op custom call in the emitter
Imported from GitHub PR https://github.com/openxla/xla/pull/10638
The AllocateBuffer custom call (a.k.a. `kNopCustomCallTarget`) is no-op because the runtime allocates the buffer. Let us handle AllocateBuffer by emitting nothing and returning.
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This is to document that the function also works as expected if called by
FusionUsesParameterElementwiseFromRoot() with a MultiOutputFusion.
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FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/11592 from elfiegg:cudnn_scalar_constants 33d4a59ebf970689a4c05c1847152c9a6aab632f
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"@andremfreitas The warnings you're seeing indicate that your two jit-compiled functions, likely containing some floating-point division (`__cuda_sm20_div_rn_f64_full)`, are running out of available registers on your GPU. Could you please provide a standalone code to replicate the issue reported here?\r\nThank you!... | 2024-04-25T09:50:59 | 2024-05-31T14:05:17 | 2024-05-23T01:48:51 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16
### Custom code
Yes
### OS platform and distribution
Linux Ubuntu 22.04.3 LTS
### Mobile device
_No response_
### Python version
3.10
### Bazel version
_No response_
### GCC/com... | {
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} | PR #11592: Add a TritonFusionAnalysis util to query an op's scope.
Imported from GitHub PR https://github.com/openxla/xla/pull/11592
Add a TritonFusionAnalysis util to query an op's scope.
This will be used in cuDNN compiler for deciding an op's dimensions in the followup PR.
Copybara import of the project:
--
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Imported from GitHub PR https://github.com/openxla/xla/pull/11717
* Default to flash attention as it is high performant and maintained actively by cuDNN, remove old fused attn.
* Remove lowering to fused attn in rewriter
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This unblocks some graphs that target TPU yet without replication.
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"Hi **@Bhavi-cd** ,\r\n\r\n- Ensure that the version of PyTorch used by Ultralytics (indirectly through YOLO) is compatible with the other components in your environment. If possible, try downgrading or upgrading PyTorch to a version that is known to work well with YOLOv8-obb and your other dependencies.\r\n- Verif... | 2024-04-25T05:07:08 | 2024-04-29T04:06:00 | null | NONE | null | null | null | ### Issue type
Support
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16.1
### Custom code
Yes
### OS platform and distribution
Windows
### Mobile device
_No response_
### Python version
3.11.9
### Bazel version
_No response_
### GCC/compiler ver... | {
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"@stellarpower \r\nThank you for reporting the issue. We are also trying to replicate the issue in our environment. Please allow sometime to reproduce and get back to you the same. Thank you!",
"Thanks! I can try to push a container image if it helps, let me know if that's be useful. Or I guess I can try a colab ... | 2024-04-24T23:48:35 | 2024-05-16T09:09:45 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.15.0 (cuda120py39hb94c71b_3 from conda-forge)
### Custom code
No
### OS platform and distribution
Ubuntu Jammy in podman Container
### Mobile device
_No response_
### Python version... | {
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If multiple uploads occur from the same process, there's no need to upload all
modules every time. At best it's wasteful.
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The member functions in `Type/Attribute/Value/Location/AffineExpr` are deprecated and will go away.
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