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"I would appreciate any working solution to this, as long i can run my model on Select Ops based on a TensorFlowLiteSelectTFOps library selectively built based on the tflite model itself. Thanks a lot in advance! :)",
"Hi @tanpengshi, it looks like the system is unable to properly link the google protobuf library... | 2024-05-17T04:34:35 | 2024-06-12T02:18:58 | null | NONE | null | null | null | IDE: Xcode 15
Platform: iOS17
TensorFlow version: r2.9
I am developing both iOS and Android apps that are running with TensorFlow Lite model. Because my model uses LSTM, I have to make use of TFSelectOps.
In addition, because the TensorFlowLiteSelectTFOps library is large in memory size, I have to do a selectiv... | {
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"Hi @ShabbirMarfatiya ,\r\n\r\nI will replicate your issue and will get back to you.",
"Hey @sawantkumar,\r\n\r\nThanks for looking into this issue. If you need any more details, feel free to let me know.",
"Hi @sawantkumar,\r\n\r\nHave you happened to find anything related to my issue that might be helpful?",
... | 2024-05-17T04:06:39 | 2024-06-10T19:02:21 | null | NONE | null | null | null | I'm facing an issue while trying to run inference with a TensorFlow Lite model quantized to INT8 precision. The model was trained using CenterNet MobileNet for hand keypoint detection, and I'm getting a `RuntimeError` when invoking the interpreter, with the following error message:
```
Cell In[6], line 34
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Updates LLVM usage to match
[c79690040acf](https://github.com/llvm/llvm-project/commit/c79690040acf)
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In a followup I will check the disabled ARM tests to see which can be reenabled after this change.
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"@vaibhavAIJKV GPU support on native-Windows is only available for 2.10 or earlier versions, starting in TF 2.11, CUDA build is not supported for Windows. For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin.\r\nPlease refer to ... | 2024-05-16T21:25:47 | 2024-06-01T01:51:37 | 2024-06-01T01:51:34 | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.13.0
### Custom code
Yes
### OS platform and distribution
Windows 10
### Mobile device
_No response_
### Python version
3.8.8
### Bazel version
_No response_
### GCC/compiler versi... | {
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Now when XLA FFI is supported on both XLA:GPU and XLA:CPU backends update custom call documentation to new XLA FFI APIs instead of a mix of legacy ones.
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Reverts f83f81c2cd4e57e1d6588ced9bbcb2cab011bd26
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Updates LLVM usage to match
[a383b3cca338](https://github.com/llvm/llvm-project/commit/a383b3cca338)
Reverts c031655ca9514e7946bb87eda17cf5932c381a8b
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`ExecutionStreamAssignments` represent a mapping from `HloInstructions` to `ExecutionStreamIds`. Asynchronous calls (`async-start`, `async-update`, and `async-done`) result in the target computations being assigned new `ExecutionStreamIds` to support concurrent execution.
Reverts ... | {
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`xla::ifrt::Client::RemapArrays()` allows `kReuseInput` for projection (view).
Previously, it expected the number of input arrays and output arrays is both 1.
This restriction has been relaxed to expecting only the number of input arrays
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- Remove legacy custom calls and always use FFI for xla_client tests.
- Add a little bit more documentation to cover custom call registration process
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"I am experiencing the same issue when implementing my own transformer encoder decoder. So far, i am still missing positional encoding and some masking layers, i don't know whether those would affect it in any way. \r\n\r\nHere is my code, showing the same warning with tf-nightly, and python 3.11.9\r\n\r\n\r\n i... | 2024-05-16T18:35:33 | 2024-06-11T01:51:14 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
2.16.1
### Custom code
Yes
### OS platform and distribution
Windows 11
### Mobile device
_No response_
### Python version
3.12.3
### Bazel version
_No response_
### GCC/compiler vers... | {
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I accidentally used sle where we need ule, resulting in incorrect
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Updates LLVM usage to match
[5ac34358181b](https://github.com/llvm/llvm-project/commit/5ac34358181b)
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[5ac34358181b](https://github.com/llvm/llvm-project/commit/5ac34358181b)
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All the changed targets include `rocm_config.h`,
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`tsl/platform/test.h` used to define a macro `DISABLED_ON_GPU_ROCM` which also exists in
`xla/tests/test_macros.h`. This led to build failures if both headers were included.
Since `test_macros.h` contains a huge set of similar macros let's remove the one
from `platform/test.h` an... | {
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"Hi @thereallee, are you using an emulator or a real phone? The steps to integrate Select ops with iOS are different depending on that, so I want to understand your situation.",
"Hi - I see essentially the same error when building for device and simulator. See attached.\r\n\r\nSimulator build:\r\n\r\n![Simulato... | 2024-05-16T16:35:01 | 2024-06-05T20:45:11 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
pod 'TensorFlowLiteSwift' # or 'TensorFlowLiteObjC' pod 'TensorFlowLiteSelectTfOps', '~> 0.0.1-nightly'
### Custom code
Yes
### OS platform and distribution
iOS 16.2
### Mobile device
... | {
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This avoid warnings about unused variables when the ROCm branch is taken.
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rocm_config.h defines `TF_ROCM_VERSION` which is used in `amdgpu_compiler.cc`.
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A dependency from `se_gpu_pjrt_compiler_aot_test` to `amdgpu_compiler_impl`
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The test shouldn't generally depend on the AMDGPU compiler - only if it's
a ROCm build in which case the dependency is already there.
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This CL integrates StableHLO weight-only quantization preset to TF Quantizer API. The weight-only quantization is enabled when the quantization method is set to `METHOD_STATIC_RANGE_WEIGHT_ONLY_INT8` and opset is set to `quant_opts_pb2.STABLEHLO`.
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TiledHloComputation is a wrapper around a vector of TiledHloInstructions. It provides a convenient way to access the instructions and the root instruction.
FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/66087 from Intel-tensorflow:amin/int8-fp32-... | {
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} | PR #12520: [GPU] Add new flag xla_gpu_exclude_nondeterministic_ops.
Imported from GitHub PR https://github.com/openxla/xla/pull/12520
It's more granular than the existing --xla_gpu_deterministic_ops because it allows doing an autotuning compilation with non-deterministic ops disabled.
--xla_gpu_deterministic_ops is ... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/12494
@ddunl @xla-rotation : would you take a look please?
Copybara import of the project:
--
265d19a155907357fe89ff4e0f5dbbe52f329c4c by Ruturaj4 <ruturaj.vaidya@amd.com>:
[ROCm] set performan... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/11895
This enables activation offloading automatically on GPU through HLO Rematerialization.
There is one xla flag needed to trigger rematerialization offloading:
1. A bool to enable host me... | {
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Updates LLVM usage to match
[3a4c1b9b4428](https://github.com/llvm/llvm-project/commit/3a4c1b9b4428)
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These defines are not needed since the BUILD target is anyway guarded by if_gpu_is_configured.
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Updates LLVM usage to match
[e27f9bb31984](https://github.com/llvm/llvm-project/commit/e27f9bb31984)
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Imported from GitHub PR https://github.com/openxla/xla/pull/11425
It is a sub PR of https://github.com/openxla/xla/pull/9042 to add sycl platform
Copybara import of the project:
--
7d0c37057c673f784089ce961d24276a496d43bd by Sheng, Yang <yang.sheng@intel.com>:
Add sycl platfor... | {
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This is used as an input to mlir_replay. Note that GPU-specific ops are
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For this to work, we need a folder, so add that too. We kind of
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This works around the remaining known miscompiles.... | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/11895
This enables activation offloading automatically on GPU through HLO Rematerialization.
There is one xla flag needed to trigger rematerialization offloading:
1. A bool to enable host me... | {
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Attempt to fix this error:
```
File already exists in database: xla/xla_data.proto.
```
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"hi @LiangZhaoSRA ,\r\n\r\nIf possible , can you share me the .tflite file please ",
"@sawantkumar Attaches is the tflite file. Thanks.\r\n[model.zip](https://github.com/tensorflow/tensorflow/files/15379814/model.zip)\r\n",
"Hi @LiangZhaoSRA ,\r\n\r\nI inspected your model using custom code and I found out that... | 2024-05-16T00:21:52 | 2024-05-29T17:20:18 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
2.3
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
Galaxy S24
### Python version
3.8
### Bazel version
_No response_
### GCC/compiler version
_... | {
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