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} | PR #13089: Fix reduce_large_row_to_scalar.hlo.test
Imported from GitHub PR https://github.com/openxla/xla/pull/13089
Copybara import of the project:
--
ae97058c01ca57107a2566a6f190d51f5ad4ca0e by mmakevic <Milica.Makevic@amd.com>:
Fix reduce_large_row_to_scalar.hlo.test
Merging this change closes #13089
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`xla_gpu.apply_indexing` is the new preferred way to emit IndexingMaps.
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"@ViratCh04, \r\nLooks like this is an issue from the Keras side. Also there is an [issue](https://github.com/keras-team/keras/issues/19754) raised in the Keras-team/Keras repo for the similar error on the RNN_decoder/gru and assigned to the Developer. Kindly take a look and try to follow the same for the quick res... | 2024-05-27T10:38:01 | 2024-06-04T11:23:03 | 2024-06-04T11:22:59 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.15
### Custom code
Yes
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
### GCC/compi... | {
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} | Remove `use_gpu` flag from xla_cc_test
We have logic for running a test on GPU in both `xla_test` and `xla_cc_test`
which is duplicate and unnecessary.
The logic in `xla_test` is much more sophisticated and allows more fine
grained control on where to run a test. So I'm removing
all GPU functionaliy from `xla_cc_test... | {
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} | [XLA:GPU] Pass CUDA_VERSION explicitly into CudnnFusedConvRewriter.
Passing the CuDNN version will be the next step.
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Reverts df40f8d088774e2e938896b7f7cf2e2051d00a3a
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Imported from GitHub PR https://github.com/openxla/xla/pull/13056
Copybara import of the project:
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7940a1a02a0f93736a88406958edf62488bdbe19 by Andrey Portnoy <aportnoy@nvidia.com>:
Use `operator->` with XLA FFI Result Buffers in custom c... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12979
PGLE doesn't recognize p2p instruction such as send or recv as async operations.
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Copybara import of the project:
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5db8e9ecb4becd69cab0381c5142058697afadb5 by Andrey Portnoy <aportnoy@nvidia.com>:
Use `BufferF32` instead of `Buffer` in GPU FFI example
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Each HloComputation has a field that tells to what kind of HloInstruction it is attached to. It is lost when we clone computations to flatten the graph. Also it can be lost in earlier rewrites.
After call graph flattening it is guara... | {
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"hi @Kullka ,\r\n\r\nCan you please share the code to reproduce the issue ? ",
"Hi @sawantkumar,\r\n\r\nThank you for responding me. I have converted LSTM model from TensorFlow to TensorFlow Lite by following code:\r\n_weights and recurrent_input(forget, cell, output)_weights) are quantized to Int8 but Biases are quantized to 32-bit. After performing Weights*Inputs + Biases, ... | {
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} | [XLA:GPU][IndexAnalysis] Use a flag for IsKnownEmpty instead of recomputing every time.
Right now, we would try to simplify or compose with indexing maps that have a known empty domain. That's incorrect, but checking if the domain is empty every time is expensive and can be cached.
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"Reassigned to Quentin, the poc of https://github.com/tensorflow/tensorflow/issues/62298.",
"That would be great, but those files are needed for the CMake build that doesn't generate them. It's possible but that will require updating the `CMakeLists.txt` to generate those files.\r\n\r\nI think the flabuffer libra... | 2024-05-25T22:29:56 | 2024-05-30T20:03:14 | null | NONE | null | false | {
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} | they should get generated with flatc as part of the build process, and the bazel workflows are ready for this, but they just aren't. this results in making tflite depend on a very specific revision of flatbuffers.
closes https://github.com/tensorflow/tensorflow/issues/62298 | {
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} | PR #13068: Introduce the Blackwell compute capability.
Imported from GitHub PR https://github.com/openxla/xla/pull/13068
Introduce the Blackwell compute capability. Future Blackwell-specific changes can be guarded by this capability.
Copybara import of the project:
--
cc1adebc95166b2d3979cc01de954a1895515ad4 by Dimi... | {
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} | PR #13061: Add Tirton support for XLA clamp
Imported from GitHub PR https://github.com/openxla/xla/pull/13061
Add Triton support for XLA clamp instruction. Clamp is a common instruction found in FP8 fusions, and will be used in cuDNN fusions:
This is a fix for perviously rolled-back PR due to internal ir_emitter_tr... | {
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"Hi **@shiyasali23** ,\r\n- Please send an email to the TF certification team (tensorflow-certificate-support@google.com) for further assistance. \r\n\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 is... | 2024-05-25T16:39:01 | 2024-06-12T01:50:54 | 2024-06-12T01:50:51 | NONE | null | null | null | i had passed the Tensorflow Developer certificate exam in may 20th until now i didnt recieve my certificate through mail or anything else.please help if anyone had any lead | {
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"@x0w3n,\r\nLooks like this is the issue [#67098](https://github.com/tensorflow/tensorflow/issues/67098) which is already addressed and assigned to the Developer. Could you please confirm and close this issue, since it is already being tracked there. Thank you!",
"Are you satisfied with the resolution of your iss... | 2024-05-25T15:06:15 | 2024-06-10T13:39:34 | 2024-06-10T13:38:30 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf 2.16
### Custom code
Yes
### OS platform and distribution
Linux Ubuntu 22.04.3 LTS (x86_64)
### Mobile device
_No response_
### Python version
3.12.3
### Bazel version
_No response... | {
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"Hi @x0w3n ,\r\n\r\nI could able to reproduce the issue with tf-nightly. Attched screen shot below for reference.\r\n\r\n<img width=\"1506\" alt=\"Screenshot 2024-05-27 at 10 32 48 AM\" src=\"https://github.com/tensorflow/tensorflow/assets/116063290/3e53092b-18b4-4ecc-997d-4e5da17de204\">\r\n",
"I got it. Thank y... | 2024-05-25T14:57:53 | 2024-06-07T00:23:45 | 2024-06-07T00:23:43 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf 2.16
### Custom code
Yes
### OS platform and distribution
Linux Ubuntu 22.04.3 LTS (x86_64)
### Mobile device
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### Python version
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### Bazel version
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The C++ pattern is dead code as the op is already replaced by a TableGen pattern in legalize_tf_patterns.td
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"And I just test using Ubuntu 16.04.7 LTS and cmake version 3.20.5 but same problem",
"@saad-koukous Could you ensure your toolchain includes the necessary libraries and headers for building TensorFlow Lite on ARMv7? Please share the exact error messages or relevant excerpts if possible.\r\nThank you!",
"Hi @su... | 2024-05-24T21:21:22 | 2024-06-04T05:42:29 | null | NONE | null | null | null | ### Issue type
Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.17.0
### Custom code
Yes
### OS platform and distribution
Ubuntu 22.04.4 LTS
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
cmake vers... | {
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To use thunk runtime in tests:
bazel test //xla/tests:copy_test_cpu --test_env=XLA_FLAGS="--xla_dump_to=/tmp/xla-cpu --xla_cpu_use_thunk_runtime=true" --test_env=TF_CPP_VMODULE=copy_thunk=3 --test_output=all
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Cleanups: use std::string_view, migrate away from TF_ASSERT/EXPECT.
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Add support for compiling XLA:CPU HloModule to a ThunkSequence instead of a LLVM module and a jit-compiled function.
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"Hi **@Nicholas-B1** ,\r\n- I tried to replicate your issue on [colab](https://colab.sandbox.google.com/gist/Venkat6871/d58fe084d7e12e824cde671fbb66e66f/68610_2-16-1.ipynb), But it is asking directory. Could you please share the proper colab gist with all the dependencies to analyze more of it.\r\n\r\nThank you!",
... | 2024-05-24T18:44:55 | 2024-05-30T15:25:53 | null | NONE | null | null | null | ### Issue type
Performance
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.4.1
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
_No response_
### Python version
3.8.1
### Bazel version
_No response_
### GCC/comp... | {
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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/68606/checks?check_run_... | 2024-05-24T16:55:53 | 2024-05-29T07:01:38 | null | NONE | null | false | {
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```
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Using XLA:GPU Thunks as an example start XLA:CPU interpreter runtime from a basic definition of Thunk and BufferAllocations.
Long term CPU and GPU Thunks will be unified under a shared XLA runtime.
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Experiments across different GPUs/shapes/vector sizes show that whenever
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Imported from GitHub PR https://github.com/openxla/xla/pull/12948
This is first step in enabling CI runs on AMD hardware. Planning to use this repository to house ROCm related scripts.
Copybara import of the project:
--
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