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`core/public/version.h`, `tools/pip_package/setup.py`, and
`tensorflow/tensorflow.bzl`. Also review the execution notes below:
```
Major: 2 -> 2
Minor: 16 -> 16
Patch: 1 -> 2
No lingering old version strings "2.16.1" found in source directory
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Documentation Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
latest
### Custom code
No
### OS platform and distribution
_No response_
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_... | {
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`eq(k1, k2) -> hash(k1) == hash(k2)` must be true for hashtable usage to be valid.
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Users of XLA can choose whether XLA should use tuple args for the params. This is a problem as when arguments become a tuple they lose their frontend attributes, which is where we keep our `xla.sdy.sharding` attributes. So we can't create tuple arguments ... | {
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This is available since C++17 and therefore available to us.
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It just causes problems and isn't really necessary.
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These functions were anyway covered by `IsTritonSupportedInstruction`. This change also moves some functions inside an unnamed namespace to make the public API more explicit.
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"Hi **@x0w3n** ,\r\n- Hi @x0w3n ,\r\n- I was able to reproduce the issue on Colab using TF v2.16 and TF-nightly ,Please find the [gist](https://colab.research.google.com/gist/Venkat6871/62972741cd453df0c7ef901e8cf1f7d7/69471_2-16-1-nightly-v.ipynb) here for reference.\r\n\r\nThank you!"
] | 2024-06-10T13:24:51 | 2024-06-11T14:05:57 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### 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
3.9.13
### Bazel version
_No respons... | {
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"@x0w3n,\r\nI tried to execute the mentioned code on tf-nightly and it was not aborted as above, and fails with the same error as the input is very long(Encountered overflow when multiplying). Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/af41845d49b59bc070b15e61faf5d0ad/untitl... | 2024-06-10T12:55:29 | 2024-06-11T06:44:07 | null | 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
3.9.13
### Bazel version
_No response... | {
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} | PR #12599: [ROCM] rccl kernel traces included in gpu profiler
Imported from GitHub PR https://github.com/openxla/xla/pull/12599
Adding HIP_API_ID_hipExtLaunchKernel in xla gpu's rocm-tracer to captures rccl kernel traces.
Copybara import of the project:
--
0dc90376d09a91862f56aabecd785ee7bb9afd86 by zahiqbal <zahid... | {
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The latter has some safety checks built in. Replace unsafe
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Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### 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
3.9.13
### Bazel version
_No respons... | {
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vector<complex<...>> is not a thing. It's pointless anyway.
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TF lite 2.16.1
### 2. Code
/arm64-v8a/libtensorflowlite_jni.so does not support 16KB alignement.
google guide :https://developer.android.com/guide/practices/page-sizes?hl=en
when is ETA for supporting 16KB so alignment? | {
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Imported from GitHub PR https://github.com/openxla/xla/pull/13542
We have seen a case when some optimization pipelines(ie tuple simplifier) add control deps to a GTE output of a fusion kernel to preserve execution order, DCE's un-use... | {
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"I was able to reproduce the issue on TensorFlow v2.15, v2.16 and tf-nightly. Kindly find the [gist](https://colab.research.google.com/gist/tilakrayal/bbbed178ef32469355164182366d3a90/untitled1947.ipynb) and also the screenshot for the reference.\r\n\r\n
### Mobile device
_No response_
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With this change, one `jax.device_put` call now corresponds to one `device_put_p.bind()` instead of one per array. Immediately, this improves the performance of `jax.device_put(...)` with a large pytree by amortizing the calls to `pxla.shard_args`. Also, back... | {
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+ temporary rolled back thread pool support in HostKernel as I'll be reworking it to support thunks
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"@yuvch98 Could you try creating a new virtual environment to avoid conflicts with existing project dependencies and if you still face the issue then please post this issue on [models](https://github.com/tensorflow/models/issues?q=is%3Aissue+is%3Aopen) repository for further assistance.\r\nThank you!"
] | 2024-06-09T17:48:09 | 2024-06-10T08:53:30 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
No
### Source
source
### TensorFlow version
tf 2.16.1
### Custom code
No
### OS platform and distribution
Google Colab
### Mobile device
_No response_
### Python version
3.10
### Bazel version
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"Hi **@ALAZZURRI** ,\r\n- I was able to reproduce same issue. here i am providing screenshots for reference.\r\n<img width=\"1495\" alt=\"image\" src=\"https://github.com/tensorflow/tensorflow/assets/147127861/3c23b9e9-799f-4de9-a4f7-4ef57b2adce0\">\r\n<img width=\"1495\" alt=\"image (2)\" src=\"https://github.com/... | 2024-06-08T16:12:29 | 2024-06-11T08:45:27 | null | NONE | null | null | null | i want install tflite-model-maker but i face issue when install
i do this
1. install python 3.12.4
2. create Virtual Environments and Activate
3. inside env use " pip install tflite-model-maker"
env_name>pip install tflite-model-maker
Collecting tflite-model-maker
Using cached tflite_model_maker-0.4.3... | {
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"@VivekEedeeCreations,\r\nLooks like this issue is not related to tensorflow. AFAIK the reason might be that Some surface formats are not compatible with Direct2D operations regardless of how they are used. This message indicates that the application should choose another surface format.\r\n\r\nhttps://learn.micros... | 2024-06-08T12:27:15 | 2024-06-10T06:30:11 | null | NONE | null | null | null | ### Issue type
Bug
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
source
### TensorFlow version
4.17
### Custom code
Yes
### OS platform and distribution
Windows 10
### Mobile device
_No response_
### Python version
_No response_
### Bazel version
_No response_
### GCC/compile... | {
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"@wx0608,\r\nCould you please share a reproducible code/colab gist that supports your statement so that the issue can be easily understood? Thank you!"
] | 2024-06-08T06:18:41 | 2024-06-10T09:41:17 | null | NONE | null | null | null | ### Issue type
Feature Request
### Have you reproduced the bug with TensorFlow Nightly?
Yes
### Source
binary
### TensorFlow version
tf 2.16
### Custom code
Yes
### OS platform and distribution
Linux Ubuntu 22.04
### Mobile device
_No response_
### Python version
3.9.19
### Bazel version
_No response_
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Also remove vmodule_test from tensorflow/core/platform since
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This keeps outputs of entry computation when it's fused into another
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Also added a verification to ensure there are no multiple pinned allocations.
Reverts changelist 641225077
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This significantly improves wall time to submit tasks into a thread pool:
BM_HostKernelAsyncLaunch/1/process_time 15.4ns ± 0% 15.0ns ± 4% -2.84%
BM_HostKernelAsyncLaunch/4/process_time 7.99µs ± 3% 7.53µs ±34% -5.72%
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Benchmark Time CPU Iterations
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FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13062 from philipphack:u_fp8_windowed_einsum_xla 3ea415d65e47087bb077fa2b13e34c82a4dae87b
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