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The bug is that we don't wait for events using the buffer on the Compute stream, and also the definition events. This can cause a race condition where the buffer is deleted before it is read/written, which can lead to memory corruptions.
For ev... | {
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All instances where np.string_ and np.unicode_ are used in TF have been updated.
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"Hi @jpienaar Any update on this PR? Please. Thank you!"
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inner most dimension | {
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FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/12637 from ROCm:ci_fix_build_break_20240517 9a090b699df98d7c2a27311fbf353d4a0390e87f
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Copybara import of the project:
--
9a090b699df98d7c2a27311fbf353d4a0390e87f by Harsha HS <harsha.havanurshamsundara@amd.com>:
[ROCm] Fix build break due to 63c33b and f5ab2a4
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This change avoids using `tf.shape()` or `tf.size()` and creating a data dependency on `params` or `indices` when we have a enough static shape information to determine `values_shape`. In this case, it also reduces graph size for `_GatherGrad` by ... | {
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`tsl/platform/test.h` used to define a macro `DISABLED_ON_GPU_ROCM` which also exists in
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Since `test_macros.h` contains a huge set of similar macros let's remove the one
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In such case, the variable
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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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"Data from /Users/pinji/Desktop/MoCoDiff/tf-0513/tensorflow-LeNet/LeNet-12-654/case/tensorflow_cpu/output.npz:\r\nArray name: output\r\n[[-0.19694163, -0.09662387, -0.2447289 , ..., -0.03054091, -0.01255638,\r\n 0.11781679],\r\n [-0.09944421, -0.1292284 , -0.20278051, ..., -0.01450334, 0.1526829 ,\r\n 0.205487... | 2024-05-17T10:19:55 | 2024-06-06T16:04:26 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
binary
### TensorFlow version
tf 2.14.0
### Custom code
Yes
### OS platform and distribution
Ubuntu 20.04
### Mobile device
_No response_
### Python version
3.10
### Bazel version
_No response_
### GCC/compiler ... | {
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Special thanks to github user lingzhi98, who proposed and benchmarked
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It turned out that the Tiling abstraction made this harder than it needs to be.
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- Custom floating point format, having configurable number of bits for exponent and mantissa (something like **TensorType_FLOAT8** using custom format options)
This is relevant only for the TFLite format (schema)... | {
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- Add missing dependencies to make the layering check happy
- Add missing cast to function call to make latest clang happy
- Add missing mutex_lock to fix thread safety analysis error
- Replace flat_hash_map by a node_hash_map since the ValueType is not moveable or copyable.
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"@Blackoowhite Some TensorFlow operations might not be directly supported by TFLite. During conversion, the converter checks for compatibility and throws errors if it encounters unsupported operations. \r\nIn order to expedite the trouble-shooting process, please provide a code snippet to reproduce the issue report... | 2024-05-17T08:21:35 | 2024-05-18T03:19:38 | 2024-05-18T03:19:36 | NONE | null | null | null | 1. System information
- My code compile under windows
- Python version is : 3.10.8
- TF version is : 2.16.1
2. Issue
I generated a sequential model, and I want to transfer it into tflite, but I got the error.
3. Code
`
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Imported from GitHub PR https://github.com/openxla/xla/pull/11767
This is a sub PR of https://github.com/openxla/xla/pull/9042, it adds a script to build xla with `--config=sycl`.
Here is how to use:
```bash
workspace=$1
xla_path=$workspace/xla
cd $workspace
git clone -b yang/ci https... | {
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Adding some more direct dependencies to make the layering check happy.
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* Rename some functions to be more cleared where they are used
* Constrain e... | {
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Take a reshape `[6,8] reshape([48])`. The indexing map going through this\
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`(d0, d1) -> (d0 * 8 + d1)`.\
Previously to this change, there was no support for extracting sizes and... | {
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It had already been disabled for OSS builds, this is only making
sure it's also disabled when `PLATFORM_GOOGLE` is set to true.
It's a non-functional change - just some ugly macro hackery.
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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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The ROCm wrappers is basically a hand-written implementation layer library.
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for a long time.
So this CL is fix... | {
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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/67798/checks?check_run_... | 2024-05-17T06:29:25 | 2024-06-07T17:24:51 | null | NONE | null | false | {
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> tensorflow\lite\core\c\operator.cc(28,29): error C7
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The `gcnArch` property had been deprecated for a while (at least for 4 years).
`gcnArchName` is the replacement and since it's already available for so
long it shouldn't break anyone.
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This was introduced by the `xla::Status`/`absl::Status` cleanup by accident.
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"Hi **@akote123** ,\r\n- Looks like this is duplicate of issue #[61322](https://github.com/tensorflow/tensorflow/issues/61322). Can you please confirm once?\r\n\r\nThank you!",
"This is not a duplicate. This (https://github.com/tensorflow/tensorflow/issues/61322) issue is about oneDNN primitives. The current issu... | 2024-05-17T05:17:16 | 2024-05-21T08:19:48 | null | NONE | null | null | null | How we can enable oneDNN graph API in tensorflow? | {
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