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This is needed to optimize the `tf.math.top_k` function with floating-point inputs.
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Copybara import of the project:
--
0a3429d4ae71db667878e7a04c9f3bd021a5aad5 by nhatle <nhat.le@i... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/13065
For some operations, we might want to do the `output to operand aliasing` to reuse the memory space. For example, in the dot operation, we can alias the output to the bias operand, when they have t... | {
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Example:
```
%tdim_x_gep = getelementptr inbounds %SE_HOST_KernelThreadDim, ptr %2, i32 0
%tdim_y_gep = getelementptr inbounds %SE_HOST_KernelThreadDim, ptr %2, i32 1
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FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13018 from ROCm:ci_amdtags_20240523 0bf9ab80d06284883df19f17f421eb6a691c0dd8
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This change pattern matches the following into an FP8 cublasLT custom call
dot(x.astype(jnp.float16), y.astype(jnp.float16))
We previously matched a version of this that also included scaling into a custom call.
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"I believe it's ok to adjust tolerances to 1e-4 unconditionally.",
"I see okay, but we need a minimum relative tolerance of 3e-4 for some of the F64 outputs to match the corresponding outputs of oneDNN's F32 implementation of batch reduce convolution."
] | 2024-05-28T19:11:44 | 2024-06-03T04:59:02 | 2024-06-03T04:59:02 | CONTRIBUTOR | null | false | {
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Updates LLVM usage to match
[9b79acedd689](https://github.com/llvm/llvm-project/commit/9b79acedd689)
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ee872b54d6301f2dfb1168b57dcd5b6e8a0c4561 by Shawn Wang <shawnw@nvidia.com>:
Lowering cublasLt thunk to command buffer
Merging this change closes #1304... | {
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For now it just forwards to cc_test. If that works we can entirely remove it.
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Updates LLVM usage to match
[9b79acedd689](https://github.com/llvm/llvm-project/commit/9b79acedd689)
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arith.bitcast can't convert from ui64 to i64.
Reverts df40f8d088774e2e938896b7f7cf2e2051d00a3a
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13088 from ROCm:ci_reduce_atomic_min f894f1954513019f0ca6890a27e09e0fee9d462e
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This change both extracts the logic and generalizes it so that it works with more than one dimension.
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This is terrible. I would like to order one progressive
lowering please.
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Reverts df40f8d088774e2e938896b7f7cf2e2051d00a3a
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Also support indices of type S8, S16. (S32 was already supported.)
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} | Remove experimental_adaptive_avx_optimization flag from XNNPACK delegate options
It's always on now.
Reverts df40f8d088774e2e938896b7f7cf2e2051d00a3a
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13088 from ROCm:ci_reduce_atomic_min f894f1954513019f0ca6890a27e09e0fee9d462e
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This is very annoying if one uses the tool frequently
Reverts df40f8d088774e2e938896b7f7cf2e2051d00a3a
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13088 from ROCm:ci_reduce_atomic_min f894f1954513019f0ca6890a27e09e0fee9d462e
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"Please find the code below:\r\n`// Import necessary libraries\r\nimport '@mediapipe/face_detection';\r\nimport '@tensorflow/tfjs-core';\r\n// Register WebGL backend.\r\nimport '@tensorflow/tfjs-backend-webgl';\r\nimport * as faceDetection from '@tensorflow-models/face-detection';\r\nimport * as cocoSsd from '@tens... | 2024-05-28T13:26:02 | 2024-05-29T08:27:54 | 2024-05-29T08:27:51 | NONE | null | null | null | I am creating a React JS-based front end that employs the Tensorflow JS Simple Face Detection model. The application runs fine when being run on the dev environment using `npm run dev`. However when I run `npm run build` and `npm run preview` the model throws the following error:
`index-BEYgabte.js:15635 Uncaught (in ... | {
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CUB library provides `DeviceSegmentedRadixSort::SortKeys` and `DeviceSegmentedRadixSort::SortPairs` functions that allow sorting multiple segments at the same time.
`GpuSortRewriter` pass now supports any sorts where the sort dimension is minor.
If the `batch_size` passed t... | {
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"Hm, afaik I should not be the reviewer on this -- it should be someone at Nvidia affiliated with TensorRT.",
"@beckerhe who can review this PR?"
] | 2024-05-28T11:11:23 | 2024-05-29T03:27:57 | null | CONTRIBUTOR | null | true | {
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} | TensorRT 10 makes a number of breaking changes to its API, requiring fixes in many places in the TF-TRT code. Most of the changes are straightforward though.
Opening as a draft because there is one set of tests that are still known to fail.
cc @nluehr @cliffwoolley | {
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"Hi @terryheo Can you please review this PR ? Thank you!"
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} | The headers delegate.h and delegate_options.h were missing when tensorflow lite was installed with the GPU delegates using CMake.
This PR just add these 2 files into TFLITE_DELEGATES_GPU_SRCS variable and it fixes the issue. It works because TFLITE_DELEGATES_GPU_SRCS is used to create _ALL_TFLITE_SRCS which is used ... | {
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"@383156098 Could you please try to upgrade to the latset TF version as you are using an older version which is not actively supported. If your application allows it, kindly consider changing the data_format parameter in your Conv1D layer to channels_last. This is the more common format for TFLite and might avoid t... | 2024-05-28T08:57:36 | 2024-06-11T01:51:08 | null | NONE | null | null | null | ### 1. System information
- Windows 10 and Centos 7
- Tensorflow 2.10.0 ~ 2.10.1
### 2. Code
conv1d = tf.keras.layers.Conv1D(data_format="channels_first",
filters=128,
kernel_size=3,
strides=1,
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Reverts 33bfff8ce3d639c64f8582c8013ac583a7faf543
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/12940 from ROCm:ci_dot_bf16 c3bb3a7349266a51ff22a2e18dab0afb6e81bad4
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"I have the same issue: #68710",
"Please make sure that you have installed the Nvidia container toolkit before. Your docker container is not able to find the relevant CUDA, hence the error. Here's the documention: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html",
"I h... | 2024-05-27T18:13:29 | 2024-06-01T18:40:19 | 2024-05-28T15:57:05 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
binary
### TensorFlow version
2.16.1-0-g5bc9d26649c
### Custom code
No
### OS platform and distribution
Windows 11 Pro + WSL2 Ubuntu 22.04
### Mobile device
_No response_
### Python version
3.11.0rc1
### Bazel ver... | {
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"Based on the log output and the steps you’ve taken, it appears that TensorFlow within your Docker container is unable to initialize CUDA, leading to the error `CUDA_ERROR_NOT_FOUND: named symbol not found`. This usually indicates an issue with CUDA installation or GPU driver compatibility within the Docker environ... | 2024-05-27T18:03:12 | 2024-06-10T05:30:03 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
binary
### TensorFlow version
2.16.1-gpu-jupyter
### Custom code
No
### OS platform and distribution
Windows 11 and WSL2
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No resp... | {
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Also SPMD and num hosts/replicas is now inferred from the module.
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1. Dump MLIR module to dumping folder for inspection
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fit, inconsistent with other errors, and will lose the stack trace.
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For testing, we also introduced "ScatterNdTest" that verifies the existing "default" behavior for comparison.
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13360 from Intel-tensorflow:akhil/vnni2_fp16 d138f97cb5004b199e626d4f705e50269b79e160
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This is to support the new attribute "bad_indices_policy". Passing downs the behavior also works, but it makes `ScatterNdFunctor` unnecessarily complicated while the only gain is the performance with out-of-bound error.
For testing... | {
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} | Remove experimental_adaptive_avx_optimization flag from XNNPACK delegate options
It's always on now.
Reverts changelist 637594837
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13089 from ROCm:ci_reduce_large_row_to_scalar ae97058c01ca57107a2566a6f190d51f5ad4ca0e
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"Sure. So just update the website with the correct instructions I guess.",
"> Sure. So just update the website with the correct instructions I guess.\r\n\r\nlol"
] | 2024-05-27T14:13:27 | 2024-05-30T09:20:10 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
r2.16
### Custom code
No
### OS platform and distribution
Arch Linux
### Mobile device
_No response_
### Python version
3.10
### Bazel version
6.5.0... | {
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Reverts dbf3cd351cdac416d635a9725746f4bcd96ffd83
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} | [XLA:GPU] Handle 0-D `MakeBlockPtr` in `EmitParameterLoad` instead of `EmitTiledSoftmax`.
This enables cleaner code in followup changes.
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} | PR #12940: [ROCm] Fix dot_bf16.hlo.test on ROCm
Imported from GitHub PR https://github.com/openxla/xla/pull/12940
Added additional params for `hlo_lit_tests` as a workaround, so `mi200.txtpb` would be used in `dot_bf16.hlo.test` for rocm.
Copybara import of the project:
--
c3bb3a7349266a51ff22a2e18dab0afb6e81bad4 by... | {
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We now have two functions that produce the same results. GetParameters() is more convenient.
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"@KushanManahara If you're using TensorFlow v2.16.1, kindly ensure your CUDA and cuDNN versions are compatible. \r\nPlease refer to TensorFlow [documentation](https://www.tensorflow.org/install/pip) for supported versions for TensorFlow v2.16.1 and let us know?\r\nThank you!",
"This issue is stale because it has ... | 2024-05-27T12:15:16 | 2024-06-08T01:49:16 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
binary
### TensorFlow version
tf 2.16.1
### Custom code
Yes
### OS platform and distribution
Linux
### Mobile device
Linux
### Python version
3.12
### Bazel version
_No response_
### GCC/compiler version
_No res... | {
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"Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68695\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQ... | 2024-05-27T12:03:53 | 2024-06-02T08:04:58 | 2024-06-02T08:04:55 | NONE | null | null | null | ### Issue type
Support
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
tf 2.16
### Custom code
No
### OS platform and distribution
android
### Mobile device
android
### Python version
_No response_
### Bazel version
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