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} | [XLA:GPU][NFC] Make GpuCompilerTest.CollectivePermuteDecompositionAndPipelining less brittle.
Previously, the test was relying on both
1. exact instruction names, and
2. explicit ordering of many pure and re-orderable HLO operations.
Both of these things can not be relied upon for testing, and this came up
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"@rkdtmdals7710 For such issues the recommended solution is to upgrade your protobuf to version 3.19.0 or later. You can usually do this using your package manager (e.g., `pip install --upgrade protobuf`).\r\nAlso please verify the TensorFlow IO Installation,\r\n\r\n```\r\npip install tensorflow-io\r\nimport tensor... | 2024-05-07T10:10:13 | 2024-05-30T01:49:50 | 2024-05-30T01:49:46 | NONE | null | null | null | I created a tflite model from yolov5n [export.py -- weights mymodel.pt -- include tflite] for the learning model I learned from yolov5n. By the way, /home/pi1/Desktop/project3/examples/lite/examples/object_detection/raspberry_pi. It works fine when I run the existing detect.py , but when I use the above model, I get t... | {
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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/67085/checks?check_run_... | 2024-05-07T10:05:35 | 2024-05-09T12:57:54 | 2024-05-09T12:57:53 | NONE | null | true | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12185
Here are fixes after the following PRs:
- rocm_dnn AllocateOwnedArray: https://github.com/openxla/xla/pull/11654
- hipblas_lt: https://github.com/openxla/xla/issu... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12195
Copybara import of the project:
--
484b7b1e0c74caad30a29e4d7b0dee801830c10e by Ilia Sergachev <isergachev@nvidia.com>:
[GPU][NFC] Simplify generation of cuDNN uid-pointer maps.
Me... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12199
Dbias requires hopper + cudnn 8.9.6, hence this PR.
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--
ba4d8f507b1bae75d249fae1bf3d84c4e57199fa by cjkkkk <ske@nvidia.com>:
init
--
68978ddc378... | {
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This will enable a large simplification in a next PR.
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ad747544396d4920e60946d7a0f00300f47e07d2 by Ilia Sergachev <isergachev@nvidia.com>:
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"Hi **@yogashreeNaik** ,\r\n- Could you check the version of tensorflow you are using is compatible with your system and python environment.\r\n- Ensure that all necessary system dependencies, such as CUDA and cuDNN for GPU support, are correctly installed and compatible with your TensorFlow version.\r\n- Try reins... | 2024-05-07T05:15:17 | 2024-06-12T10:27:42 | 2024-06-12T10:27:39 | NONE | null | null | null | Traceback (most recent call last):
File "C:\Users\AVITA\anaconda3\envs\myEnv\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 62, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
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"These are my default python paths: \r\nINFO: Reading rc options for 'build' from /mnt/c/tensorflow-2.5.0/.tf_configure.bazelrc:\r\n 'build' options: --action_env PYTHON_BIN_PATH=/usr/bin/python3 --action_env PYTHON_LIB_PATH=/usr/lib/python3/dist-packages --python_path=/usr/bin/python3",
"@Thunderzen,\r\nThere a... | 2024-05-07T03:18:25 | 2024-05-24T01:49:12 | 2024-05-24T01:49:08 | NONE | null | null | null | ### Issue type
Build/Install
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.5
### Custom code
No
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
3.10.12
### Bazel version
3.7.2
### GCC/compiler ve... | {
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Error message:
```
[ RUN ] QuantizedInstanceNormTest.TestClamp
tensorflow/core/kernels/quantized_instance_norm_test.cc:120: Failure
Expected: (max_diff()) <= (0.1), actual: 0.165527 vs 0.1
2024-05-06 18:40:43.391840: I tensorflow/core/kernels/quantized_instance_norm_test.cc:121] max... | {
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Copy shape inference logic from Shape inference of Gather in XLA [1]. This makes grappler to properly infer shapes. The Grappler only relies on TensorFlow shape inference, and it invalidates all previously inferred shapes saved in `_output_shapes` attribute.
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We can't use swisstable here because this code requires an exception-safe hashtable so switch to std::unordered_map.
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Reason: Broke JAX Arm CI
```
E AssertionError: [b"'-prefer-256-bit' is not a recognized feature for this target (ignoring feature)"
```
Reverts 58d6f04ae41c442626f705eb03385c3de50266c0
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The op is only needed by KernelGen, and must be removed from CHLO as per the Dynamism 101 RFC: https://github.com/openxla/stablehlo/blob/main/rfcs/20230704-dynamism-101.md#p1
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Error message:
```
[ RUN ] QuantizedInstanceNormTest.TestClamp
tensorflow/core/kernels/quantized_instance_norm_test.cc:120: Failure
Expected: (max_diff()) <= (0.1), actual: 0.165527 vs 0.1
2024-05-06 18:40:43.391840: I tensorflow/core/kernels/quantized_instance_norm_test.cc:121] max... | {
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<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/pallets/werkzeug/releases">werkzeug's releases</a>.</em></p>
<blockquote>
<h2>3.0.3</h2>
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This feature is no longer supported as Pepperjack M1 gets deprecated.
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"Hi @garryyan2 ,\r\n\r\nThe warning will arise when we call a function multiple times (for eg in a loop) that is decorated with tf.function decorator. Since retracing is computationally expensive this will affect performance but the model will not have any issue wrt its metrics or predictions except time complexit... | 2024-05-06T17:46:32 | 2024-05-08T05:52:21 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
binary
### TensorFlow version
2,16,1
### Custom code
No
### OS platform and distribution
windows 10
### Mobile device
_No response_
### Python version
3.11
### Bazel version
_No response_
### GCC/compiler version... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12171
Copybara import of the project:
--
30f9abd60c34f01c5fc77f7745275141130afce6 by Shawn Wang <shawnw@nvidia.com>:
add more checks for barrierCmd
Merging this change closes #12171
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"@SuryanarayanaY I was able to replicate the issue reported [here](https://colab.research.google.com/gist/sushreebarsa/14b475bfad895b3a6c2e1770acc0eddc/67023.ipynb).\r\nThank you... | 2024-05-06T14:57:57 | 2024-05-15T06:22:55 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.15.0
### Custom code
No
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
3.10.12
### Bazel version
_No response_
### GCC/compiler v... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12012
Update cuDNN frontend version from 1.2.1 to 1.3.
Copybara import of the project:
--
ea12e3765a225fb360add9d424248ffa0954ce95 by Elfie Guo <elfieg@nvidia.com>:
Update cuDNN frontend version.
Merging this cha... | {
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Updates LLVM usage to match
[6217abce86b5](https://github.com/llvm/llvm-project/commit/6217abce86b5)
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Currently, there are cases where we duplicate reductions into more than
one group. This essentially means the grouping is buggy, since the
goal is to share reads. I will only fix the grouping for the new
emitters, since I can't rule out that the current grouping is ac... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12031
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[18e7dcb7c576](https://github.com/llvm/llvm-project/commit/18e7dcb7c576)
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Like the previous fix for priority fusion, MOF sometimes generates nested
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makes codegen more complex, since it needs to be able to handle such
nested fusions.
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The difference in runtimes in the original benchmarks that
motivated this change seem rather large. We can surely
do better than that. Atomics contribute a lot of complexity,
so if possible, we should try to avoid them.
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We don't need to depend on the _impl target, it is added automatically to all
xla_cc_test targets. Depend on the non-implementation target instead.
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"Hi @B-JackMao ,\r\n\r\nI haven't seen any tflite official documentation mentioning the concurrent model execution on GPU. If i find something i will let you know.",
"Hi @pkgoogle ,\r\n\r\nI saw examples of running two models concurrently on dedicated desktop gpu's using tensorflow but i am not sure if its poss... | 2024-05-06T07:22:57 | 2024-06-01T01:51:38 | 2024-06-01T01:51:38 | NONE | null | null | null | I want to know if TFLITE currently supports running two or more CNN tasks in parallel on a mobile phone's GPU. Can TFLITE run multiple CNN models concurrently on the GPU to accelerate inference? | {
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} | Do not fuse inside computations that are logically already fused.
Currently, priority fusion generates nested fusion instructions
inside reducers, scatter combiners, etc. This doesn't make sense,
since these instructions are already run inside a fusion, but
easily leads to codegen bugs.
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FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/11981 from ROCm:ci_pjrt_c_api_gpu_test_fix d114eb0deb691b5cf6907880f26d241a2813f26d
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Imported from GitHub PR https://github.com/openxla/xla/pull/11967
* add cuDNN flash attention dbias computation. make sure dbias only pattern match cases where reduction is done on batch dim. Only bias with [1, N, S, T] is supported.
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