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Deleting this op is part of the StableHLO Dynamism 101 RFC: https://github.com/openxla/stablehlo/blob/main/rfcs/20230704-dynamism-101.md#-p1-move-tensorflow-specific-operations-out-of-stablehlo
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"Maybe I should edit the question. I am having a problem running the benchmark with the Hexagon DSP chip. I am using a Debian Linux, and not Android. I can access and run other scripts on the Hexagon DSP, however I am having a lot of problems with Tensorflow. The Hexagon Delegate instructions seem to be out of dat... | 2024-05-02T20:19:14 | 2024-05-28T01:49:19 | 2024-05-28T01:49:16 | NONE | null | null | null | **System information**
- OS Platform and Distribution : Linux Ubuntu 20.04
- Mobile Device: Qualcomm QRB5165/RB5
- TensorFlow installed from Source
- TensorFlow version 2.16.1
- Bazel version (if compiling from source): 6.5.0
- GCC/Compiler version (if compiling from source): aarch64-linux-gnu 11.3.0
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HloFusionAnalysis works on fused and unfused HLO, so it's more logical to instruction adaptors that point to the fusion adaptor.
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Updates LLVM usage to match
[306ae14face2](https://github.com/llvm/llvm-project/commit/306ae14face2)
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} | PR #12041: [XLA:CPU][oneDNN] Gelu Exact patterns and tests
Imported from GitHub PR https://github.com/openxla/xla/pull/12041
This PR adds support for Matmul fusion with Gelu-Exact pattern and tests.
Copybara import of the project:
--
899b5619e7dc2edca4ea169f6fddf41e2a4a54e7 by Kanvi Khanna <kanvi.khanna@intel.com>:
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Imported from GitHub PR https://github.com/openxla/xla/pull/12046
`xla/utils.h` defines the following functions
```
inline bool HloPredicateTrue(const HloInstruction*) { return true; }
inline bool HloPredicateFalse(const HloInstruction*) { return false; }
```
We ... | {
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"@andremfreitas Could you please provide a standalone code to replicate the issue reported here as it would help us to analyze the issue?\r\nThank you!",
"This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.",
"This issue was close... | 2024-05-02T15:32:01 | 2024-05-24T01:49:18 | 2024-05-24T01:49:12 | NONE | null | null | null | ### Issue type
Support
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### 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_
### GC... | {
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Updates LLVM usage to match
[dcbf0fcd0d55](https://github.com/llvm/llvm-project/commit/dcbf0fcd0d55)
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Updates LLVM usage to match
[dcbf0fcd0d55](https://github.com/llvm/llvm-project/commit/dcbf0fcd0d55)
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- The current epilogue logic doesn't work for all fusions
- The output indices have to be computed based on a reduction root
- Side outputs have to be written at the end of the loop body
Verified with JAX test suite.
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"Hi **@RSRcoder001** ,\r\n\r\n- Thanks for reporting issue i also observed the same, We will check with developers and provide the resolution.\r\n\r\nThank you!",
"Hi **@RSRcoder001** ,\r\n\r\n- Could you please check with latest version?. it might be fix with latest version. i am adding **[commit](https://github... | 2024-05-02T10:37:13 | 2024-05-23T01:48:49 | 2024-05-23T01:48:46 | NONE | null | null | null | ref Windows CPU link: https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-windows-x86_64-2.15.0.zip
The zip file for the C api seems to be missing files e.g. tf_buffer.h. | {
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"Will wait for PR review to see how that goes."
] | 2024-05-02T10:31:51 | 2024-05-17T20:29:33 | null | CONTRIBUTOR | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16
### Custom code
No
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
### GCC/compil... | {
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We should not filter out duplicate roots here, as then it becomes harder to map
from the returned roots to the tuple elements. This is mostly a theoretical
concern, as it is unlikely that we will have duplicate roots.
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This is needed for proper epilogue indexing computations, e.g.
in fusions like this:
```
reduce
/ \
broadcast log
| |
neg bitcast
\ /
ROOT
```
The current assumption in `ComputeEpilogueInputToOutp... | {
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Reverts 00efc614ef17c12ef8c45c4505fc8871ac2befd2
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Impelements `SaveQuantizationReportInstrumentation` to allow analyzing and saving quantization report to file after `QuantizeCompositeFunctionsPass`.
Adds a new config field in `QuantizationConfig` for the users to provide the path to file to save the quantization report.
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} | Add TFExecutorGraphPruningPass to TF dialect to executor export pipeline
This is to prune out unused ops/nodes in the graph. This doesn't affect correctness but in some cases will drastically reduce memory/network usage and improve performance depending on the number and type of dead nodes that are pruned.
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} | [XLA:MSA] Avoid sorting colocations.
Maintaining a map from AliasedOffset* to an index in a vector lets us avoid having to sort by just constructing a colocation_vector which is stable in iteration order.
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Imported from GitHub PR https://github.com/openxla/xla/pull/12005
* Use `build_plans` instead of `build_plan_at_index` for flash attention as cuDNN 9.0 could have more than 1 plan and some plans cant be built.
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Imported from GitHub PR https://github.com/openxla/xla/pull/11348
This PR enables async collective operators (AllReduceCmd, ReduceScatterCmd, AllGatherCmd, CollectiveBroadcastCmd) in command buffers.
The idea is to translate collective-st... | {
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Update users to use the PjRtGlobalDeviceId overloads (or to use different APIs).
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This is NFC because GpuAlgebraicSimplifer is not used yet.
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