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https://api.github.com/repos/tensorflow/tensorflow/issues/68894
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68,894
[xla:pjrt:cpu] Correctly create PjRt memory for constant allocations
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2024-05-30T16:10:29
2024-05-30T23:27:38
2024-05-30T23:27:37
NONE
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[xla:pjrt:cpu] Correctly create PjRt memory for constant allocations
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:51:01
2024-05-30T17:24:54
2024-05-30T17:24:54
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:47:30
2024-05-30T18:28:58
2024-05-30T18:28:58
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:47:16
2024-05-30T18:21:54
2024-05-30T18:21:53
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:46:15
2024-05-30T21:24:49
2024-05-30T21:24:48
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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[XLA] Allow reusing channel IDs between sync/async variants of collectives.
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2024-05-30T15:45:44
2024-05-30T15:45:45
null
NONE
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[XLA] Allow reusing channel IDs between sync/async variants of collectives.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:45:27
2024-05-30T17:43:19
2024-05-30T17:43:19
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:43:17
2024-05-30T17:08:47
2024-05-30T17:08:47
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-30T15:42:28
2024-05-30T22:29:54
2024-05-30T22:29:53
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Remove compatibility constraint.
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2024-05-30T15:41:13
2024-05-31T16:09:38
2024-05-31T16:09:37
NONE
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Remove compatibility constraint.
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[IFRT] Add an IFRT API for Topology.
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2024-05-30T15:37:23
2024-06-03T15:46:16
2024-06-03T15:46:16
NONE
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[IFRT] Add an IFRT API for Topology. Also add a (currently unused) Compile() method to ifrt::Compiler that produces an ifrt::Executable given a ifrt::Topology. At the moment this is a thin wrapper around the the PJRT TopologyDescription API, and does not attempt to change that API or its semantics. The change prepare...
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Right now, the shape inference code only looks at `_Arg`s to match user-given `arg_shapes`, as `_Arg`s are what placeholder ops are represented during runtime. To run shape inference ahead-of-time (with static graph and input shapes), we need the shape inference code to examine `Placeholder` ops as well; thus this cl
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2024-05-31T00:41:28
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Right now, the shape inference code only looks at `_Arg`s to match user-given `arg_shapes`, as `_Arg`s are what placeholder ops are represented during runtime. To run shape inference ahead-of-time (with static graph and input shapes), we need the shape inference code to examine `Placeholder` ops as well; thus this cl
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ValueError: `validation_split` is only supported for Tensors or NumPy arrays, found following types in the input: [<class 'int'>]
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[ " history = model.fit([X_word_train,np.array(X_char_train).reshape((len(X_char_train),max_len,max_len_char)),np.array(pos_tag_train), max_len], np.array(y_train).reshape(len(y_train),max_len,1), batch_size=5, epochs=60, validation_split=0.2, verbose=1)\r\n File \"C:\\Users\\saivi\\anaconda3\\envs\\mention\\lib\\si...
2024-05-30T14:53:08
2024-06-11T01:51:05
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### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? Yes ### Source source ### TensorFlow version tf2.9 ### Custom code Yes ### OS platform and distribution window ### Mobile device _No response_ ### Python version 3.7.6 ### Bazel version _No response_ ### GCC/compiler version ...
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[xla:cpu] Add support for kWhile thunk
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[xla:cpu] Add support for kWhile thunk
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[xla:cpu] Add support for emitting fusions with thread local computations
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[xla:cpu] Add support for emitting fusions with thread local computations
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Add flag to disable autotune for hlo compile tests.
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Add flag to disable autotune for hlo compile tests.
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Update OpenXLA's Triton dependency to include the AMD backend.
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Update OpenXLA's Triton dependency to include the AMD backend. - https://github.com/openxla/triton/pull/7 - https://github.com/openxla/triton/commit/25e4e02dcaf57f01ba49608345a9bbbbc20152bf - https://github.com/triton-lang/triton/pull/4031
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[XLA:GPU] Fix logic for symbol lookup
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[XLA:GPU] Fix logic for symbol lookup Currently, we return/log bad Status when symbol is not found, but the logic for resolving the constants does not expect it to be always found. This leads to two issues: 1. Log spam from "Failed to found symbol" error messages. 2. Hiding actual errors, if the symbol failed to reso...
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[XLA] Propagate error properly via Status from MLIR pipeline
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[XLA] Propagate error properly via Status from MLIR pipeline
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2024-05-30T09:36:11
2024-05-30T11:58:04
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PR #13109: Add flag for termination on nccl error
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2024-05-30T08:57:58
2024-06-04T10:41:06
2024-06-04T10:41:04
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PR #13109: Add flag for termination on nccl error Imported from GitHub PR https://github.com/openxla/xla/pull/13109 This introduces a flag for termination on NCCL async error. With the flag on, XLA will terminate the process on NCCL error. With the flag off, the existing behavior should remain unchanged. The patch i...
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2024-05-30T08:52:30
2024-05-31T05:03:21
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2024-05-30T08:37:44
2024-05-30T12:34:44
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[MHLO] Add support for batching dims when legalizing `mhlo.gather` to linalg
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2024-05-30T08:32:53
2024-05-31T13:43:36
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[MHLO] Add support for batching dims when legalizing `mhlo.gather` to linalg
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Integrate StableHLO at openxla/stablehlo@c44d9af8
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2024-05-30T08:15:09
2024-05-30T08:15:09
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Integrate StableHLO at openxla/stablehlo@c44d9af8
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68,867
Not able to build TensorFlow with GPU support
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[ "I too am failing to build TensorFlow for GPU (with or without the container).\r\n\r\nThe problem I see for you is that TensorRT 10 is not supported, the latest supported version is 8.6.1, see https://github.com/tensorflow/tensorflow/issues/66473. You have to install an older version and hopefully get past that err...
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### Issue type Build/Install ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version 2.16 ### Custom code Yes ### OS platform and distribution Ubuntu LTS 22.04 ### Mobile device _No response_ ### Python version 3.10.12 ### Bazel version 6.5.0 ### GCC/compil...
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68,866
Fixed description of num_threads in `tf.lite.interpreter` doc
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2024-05-30T07:33:04
2024-06-03T04:21:43
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Hi As per the code [tensorflow/tensorflow/lite/python/interpreter.py](https://github.com/tensorflow/tensorflow/blob/b297295711589c2d71880a046333e6ec095c6d7d/tensorflow/lite/python/interpreter.py#L460-L464) Lines 460 to 464 in [b297295](https://github.com/tensorflow/tensorflow/commit/b297295711589c2d71880a046333e6e...
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Add DynamicApproxTopKOp to StableHLO
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2024-05-30T07:18:02
2024-05-31T03:30:21
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Add DynamicApproxTopKOp to StableHLO This CL adds a DynamicApproxTopKOp to StableHLO. This op is a dynamic version of the ApproxTopKOp. The op is represented via a custom call to `stablehlo.dynamic_approx_top_k`. The custom call has the regular operand of ApproxTopKOp plus an additional `k` operand that determines the...
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Wrong explanation about an argument of tflite interpreter
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[ "@illian01,\r\nThank you for reporting the documentation issue. We have raised the PR for the changes which were suggested. The pr has been assigned for reviewing and once it is merged this issue will move to closed status.\r\nhttps://github.com/tensorflow/tensorflow/pull/68866\r\n\r\nThank you! ", "This issue is...
2024-05-30T05:44:57
2024-06-08T01:49:14
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NONE
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### Issue type Documentation Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version Current master branch ### Custom code No ### OS platform and distribution _No response_ ### Mobile device _No response_ ### Python version _N...
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Allow sharing the same IFRT client across multiple IFRT Proxy sessions
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2024-05-30T21:35:49
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Allow sharing the same IFRT client across multiple IFRT Proxy sessions
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Add profiling_info_pb2 to lite.py
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2024-05-30T22:23:44
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Add profiling_info_pb2 to lite.py
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Disable MLIR-based TF graph optimizer
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2024-05-30T04:22:36
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Disable MLIR-based TF graph optimizer
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Fixes source list after schema utility functions relocation.
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Fixes source list after schema utility functions relocation.
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[xla:gpu] Add GemvRewriter pass
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[xla:gpu] Add GemvRewriter pass Currently this is unused but will be needed to fix matrix-vector dot performance
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Integrate LLVM at llvm/llvm-project@765206e05045
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2024-05-30T19:03:18
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Integrate LLVM at llvm/llvm-project@765206e05045 Updates LLVM usage to match [765206e05045](https://github.com/llvm/llvm-project/commit/765206e05045)
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PR #13065: [NVIDIA] Disable the bias reuse for fp8 dot
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PR #13065: [NVIDIA] Disable the bias reuse for fp8 dot 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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Add note on TensorFlow NumPy 2.0 upgrade in the next release
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Add note on TensorFlow NumPy 2.0 upgrade in the next release
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68,850
Include stream_executor.h in a few files that were missing its inclusion.
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2024-05-29T23:42:09
2024-05-30T20:21:49
2024-05-30T20:21:47
NONE
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Include stream_executor.h in a few files that were missing its inclusion.
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PR #13107: [ROCm] Fix reduce_row_vectorized.hlo.test
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2024-05-29T23:12:19
2024-05-30T00:24:23
2024-05-30T00:24:22
NONE
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PR #13107: [ROCm] Fix reduce_row_vectorized.hlo.test Imported from GitHub PR https://github.com/openxla/xla/pull/13107 Copybara import of the project: -- 6555b6d216bb18b1f98eb36c5dac3f58f4d09c05 by mmakevic <Milica.Makevic@amd.com>: Fix reduce_row_vectorized.hlo.test Merging this change closes #13107 FUTURE_COPY...
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68,848
Make Stream a pure virtual base class to start eliminating circular dependencies between and StreamExecutor.
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2024-05-29T22:37:09
2024-05-30T16:38:01
2024-05-30T16:37:59
NONE
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Make Stream a pure virtual base class to start eliminating circular dependencies between and StreamExecutor.
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[XLA] Limit DCE MoF cleanup to GPU backend
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2024-05-29T22:25:59
2024-05-29T23:12:50
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[XLA] Limit DCE MoF cleanup to GPU backend We've had other backends blowup due to modifying the fusion body post-fusion, as now the fusion metadata is incorrect. Reverts c82138f5a838ca67b55697d12a137b4662c08525
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Reverts changelist 638422085
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2024-05-29T22:11:34
2024-05-29T23:04:46
2024-05-29T23:04:46
NONE
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Reverts changelist 638422085
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[IFRT] Add several commonly used APIs to `xla::ifrt::Sharding`
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2024-05-29T21:30:37
2024-05-30T01:15:04
2024-05-30T01:15:03
NONE
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[IFRT] Add several commonly used APIs to `xla::ifrt::Sharding` This CL adds commonly used APIs for sharding. * Equality test (`==`, `!=`): Checks if two shardings have the same logical partitioning (see below) and same device assignment. * `GetShardShape`: Returns a shard shape if this sharding always returns a single...
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68,844
Allow model builder to build a model based on a file descriptor.
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2024-05-29T21:22:52
2024-05-30T01:21:27
2024-05-30T01:21:26
NONE
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Allow model builder to build a model based on a file descriptor. FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13065 from kaixih:disable_bias_reuse_in_fp8 15f774667013045c7d8d9e38ac80a45645313b1e
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Fix test build.
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2024-05-29T20:45:58
2024-05-30T18:35:40
2024-05-30T18:35:38
NONE
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Fix test build.
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68,842
Update TFRT dependency to use revision
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2024-05-29T20:39:36
2024-05-29T23:58:45
2024-05-29T23:58:44
NONE
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Update TFRT dependency to use revision http://github.com/tensorflow/runtime/commit/4662f7552dc2e420ee20361c077b7aeb334a1087.
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[TOCO Removal] Copy converter's Python API wrapper to a more appropriate dir.
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2024-05-29T20:30:46
2024-05-31T18:18:42
2024-05-31T18:18:41
NONE
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[TOCO Removal] Copy converter's Python API wrapper to a more appropriate dir. Previously, the converter's Python API was intertwined with TOCO. This CL copies it to a new location and does some light renaming in preparating of further disentangling of TOCO artifacts from the TFL converter. Method signatures are left u...
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[xla:gpu] Add support for u32 and u64 offset constants
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2024-05-29T20:19:45
2024-05-29T21:33:23
2024-05-29T21:33:22
NONE
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[xla:gpu] Add support for u32 and u64 offset constants
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Load variable concurrently
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2024-05-29T20:17:51
2024-05-29T21:23:08
2024-05-29T21:23:08
NONE
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Load variable concurrently FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/13018 from ROCm:ci_amdtags_20240523 0bf9ab80d06284883df19f17f421eb6a691c0dd8
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Replace `tensorflow::Status` with `absl::Status` in `next_pluggable_device`
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2024-05-29T20:02:44
2024-06-07T00:38:35
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Replace `tensorflow::Status` with `absl::Status` in `next_pluggable_device`
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[XLA] Stop duplicating broadcasts before host memory offloading.
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2024-05-29T19:56:14
2024-05-29T22:24:12
2024-05-29T22:24:12
NONE
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[XLA] Stop duplicating broadcasts before host memory offloading. HostOffloader will do this as needed.
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segmentation fault when tf.histogram_fixed_width receives large `value_range` and `nbins` on CPU mode
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2024-05-29T19:33:25
2024-05-31T03:34:44
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### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? Yes ### Source source ### TensorFlow version tf 2.16.1 ### Custom code Yes ### OS platform and distribution _No response_ ### Mobile device _No response_ ### Python version _No response_ ### Bazel version _No response_ ### GCC...
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move loop-invariant code outside the loop
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2024-05-29T19:20:10
2024-05-29T20:45:30
2024-05-29T20:45:29
NONE
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move loop-invariant code outside the loop
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[xla:cpu] Add support for kCall thunks
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2024-05-29T19:19:13
2024-05-29T22:04:58
2024-05-29T22:04:58
NONE
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[xla:cpu] Add support for kCall thunks
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[xla:cpu] Pack constants of sub-byte element type into dense storage compatible with XLA format
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2024-05-29T19:16:15
2024-05-29T21:38:18
2024-05-29T21:38:17
NONE
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[xla:cpu] Pack constants of sub-byte element type into dense storage compatible with XLA format + added a few more tests that now pass with thunks runtime
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[XLA:MSA] Add a new function to estimate the total trip counts of instructions.
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2024-05-29T18:56:50
2024-05-29T18:56:50
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[XLA:MSA] Add a new function to estimate the total trip counts of instructions. The current trip count calculation is based on ```GetWhileNestMultiplier```, which assumes all layers of nested loops have the same trip count. Instead, the new function ```CalculateComputationNestTripCount``` uses the ```ComputeWhileLoopT...
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[XLA:LHS] Add a rule for async ops that release nonextendable resources so that their overlap is closed right after their estimated time has passed. Also improve logging levels.
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2024-05-29T18:36:11
2024-05-30T04:05:42
2024-05-30T04:05:41
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[XLA:LHS] Add a rule for async ops that release nonextendable resources so that their overlap is closed right after their estimated time has passed. Also improve logging levels.
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[XLA] Update fusion kind after DCE
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2024-05-29T18:35:52
2024-05-29T20:21:12
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[XLA] Update fusion kind after DCE
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copy the legalize tf passes under lite/stablehlo
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2024-05-29T18:34:18
2024-05-29T18:34:18
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copy the legalize tf passes under lite/stablehlo
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Cap utilization at 100% when accurate bandwidth cannot be determined.
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2024-05-29T18:28:27
2024-06-06T18:29:13
2024-06-06T18:29:10
NONE
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Cap utilization at 100% when accurate bandwidth cannot be determined.
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Add additional overloaded versions of the BufferFromHostLiteral function in PjRtClient which take a device_layout parameter.
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2024-05-29T18:21:35
2024-06-10T21:22:24
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Add additional overloaded versions of the BufferFromHostLiteral function in PjRtClient which take a device_layout parameter.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T17:49:28
2024-05-29T17:49:28
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Stop using xla/status.h in favor of absl/status/status.h.
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PR #13194: [ROCm] Fix build break in xla/service/gpu/ir_emitter_triton_rocm.cc
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2024-05-29T17:42:14
2024-05-29T18:59:19
2024-05-29T18:59:19
NONE
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PR #13194: [ROCm] Fix build break in xla/service/gpu/ir_emitter_triton_rocm.cc Imported from GitHub PR https://github.com/openxla/xla/pull/13194 Issue is present after following commit: https://github.com/openxla/triton/commit/6d54ba2fba40073a21c22f5fac2bdc5fb385a655 Copybara import of the project: -- c870abf922ae32...
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Bazel compiling source code failed because of highwayhash/sip_hash.cc
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[ "@Ralle1998 Could you try cleaning your Bazel build directory and rebuilding the project. Sometimes cached files can cause compilation issues.\r\nThank you!", "@sushreebarsa Thanks for the answer! I cleaned the directory multiple times by using the command \"bazel clean\" and \"bazel clean --expunge\" and still ...
2024-05-29T17:21:59
2024-06-06T03:00:19
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### Issue type Build/Install ### Have you reproduced the bug with TensorFlow Nightly? Yes ### Source source ### TensorFlow version 2.16.1 ### Custom code No ### OS platform and distribution Microsoft Windows 10 Home 10.0.19045 ### Mobile device _No response_ ### Python versio...
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[XLA:GPU] Add a GUnit matcher for TiledHloInstruction
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2024-05-29T17:19:22
2024-05-30T05:33:08
2024-05-30T05:33:07
NONE
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[XLA:GPU] Add a GUnit matcher for TiledHloInstruction
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[IFRT] Add function for converting from xla::ifrt::Sharding to OpSharding.
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2024-05-29T17:13:23
2024-05-29T19:17:31
2024-05-29T19:17:30
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[IFRT] Add function for converting from xla::ifrt::Sharding to OpSharding.
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PR #13165: [ROCm] Update ROCm version to 6.0.2
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2024-05-29T17:13:02
2024-05-29T21:28:22
2024-05-29T21:28:21
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PR #13165: [ROCm] Update ROCm version to 6.0.2 Imported from GitHub PR https://github.com/openxla/xla/pull/13165 Copybara import of the project: -- 0a2b2ea90005d8c00e2afd77dac3a34be8673661 by Harsha HS <Harsha.HavanurShamsundara@amd.com>: [ROCm] Update ROCm version to 6.0.2 Merging this change closes #13165 FUT...
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Fix diff command for bazelrc in XLA build script
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2024-05-29T17:10:32
2024-05-30T00:35:16
2024-05-30T00:35:15
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Fix diff command for bazelrc in XLA build script
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Use numpy as the source of truth for expm1 test.
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2024-05-29T17:10:19
2024-05-29T19:49:35
2024-05-29T19:49:34
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Use numpy as the source of truth for expm1 test.
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Change deprecated field always_print_primitive_fields to favored field always_print_fields_with_no_presence to avoid mis-assigning unset explicit-presence fields
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2024-05-29T17:00:50
2024-05-29T18:53:33
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Change deprecated field always_print_primitive_fields to favored field always_print_fields_with_no_presence to avoid mis-assigning unset explicit-presence fields
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[xla:ffi] Renamed BufferBase to AnyBuffer
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2024-05-29T16:26:57
2024-05-29T17:00:41
2024-05-29T17:00:40
NONE
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[xla:ffi] Renamed BufferBase to AnyBuffer BufferBase is too opaque to guess that it should be used for arguments which accept any combination of dtype/rank.
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[xla:gpu] Exclude collectives from command buffers if CUDA < 12.3
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2024-05-29T16:20:32
2024-05-29T18:26:15
2024-05-29T18:26:15
NONE
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[xla:gpu] Exclude collectives from command buffers if CUDA < 12.3 Tracing NCCL collectives relies on CUDA feature that was added in 12.3
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PR #13018: [ROCm] Distinguish between AMD and NVIDIA GPUs with relevant tags
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2024-05-29T16:13:14
2024-05-29T20:13:17
2024-05-29T20:13:17
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PR #13018: [ROCm] Distinguish between AMD and NVIDIA GPUs with relevant tags Imported from GitHub PR https://github.com/openxla/xla/pull/13018 Add `requires-gpu-amd` for AMD gpus and unit tests that require AMD backend. Use `requires-gpu-nvidia` for any nvidia gpu backend. Copybara import of the project: -- 8c3c5276...
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* Improve the perf of tf.sparse.segment_(mean/sum/sqrt) ops when using
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2024-05-29T15:44:03
2024-05-31T16:28:59
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* Improve the perf of tf.sparse.segment_(mean/sum/sqrt) ops when using bfloat16/float16 precision with float32 for aggregation. * Use float32 accumulation for the gradients of tf.sparse.segment_(mean/sum/sqrt) ops when using bfloat16/float16 precision.
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Remove Stream::platform_specific_stream method, and keep it on GpuStream where it makes sense.
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2024-05-29T15:42:45
2024-05-29T19:56:34
2024-05-29T19:56:33
NONE
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Remove Stream::platform_specific_stream method, and keep it on GpuStream where it makes sense.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T15:42:15
2024-05-30T03:49:36
2024-05-30T03:49:35
NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T15:35:43
2024-05-29T19:24:13
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NONE
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T15:34:32
2024-05-29T23:44:52
2024-05-29T23:44:52
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T15:29:27
2024-05-29T18:00:13
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T15:27:54
2024-05-29T19:42:08
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Stop using xla/status.h in favor of absl/status/status.h.
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Stop using xla/status.h in favor of absl/status/status.h.
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2024-05-29T15:25:02
2024-05-29T17:19:18
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Stop using xla/status.h in favor of absl/status/status.h.
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68,806
Training model with the Poisson loss function and the Adam optimizer resulted in NaN loss
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[ "Hi **@Calabashypr** ,\r\n- It looks like you are using an older Version of Tensorflow (2.0). Many bugs have been fixed in the latest version. Can you please execute your code using Latest Version (2.15.0 or 2.16.1) and let us know if the issue still persists?\r\nThank you!", "> Hi **@Calabashypr** ,\r\n> \r\n> *...
2024-05-29T14:06:36
2024-06-05T07:34:04
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### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version 2.0.0 ### Custom code Yes ### OS platform and distribution Ubuntu 20.04.4 LTS ### Mobile device _No response_ ### Python version 3.6.5 ### Bazel version...
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Add simple loop peeling for imperfect tiling.
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2024-05-29T18:19:11
2024-05-29T18:19:10
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Add simple loop peeling for imperfect tiling. This is very ad-hoc and ugly, but it works for now.
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[xla] Add `test_xla_cpu_thunks` tag to test XLA:CPU with thunks runtime
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2024-05-29T13:23:33
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[xla] Add `test_xla_cpu_thunks` tag to test XLA:CPU with thunks runtime
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[XLA:GPU] Use priority fusion in TritonGemmAutotunerExtractor.
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2024-05-29T13:20:38
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[XLA:GPU] Use priority fusion in TritonGemmAutotunerExtractor.
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expose "bad_indice_policy" attribute for tf.gather_nd (python API)
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2024-05-29T13:10:21
2024-06-05T16:15:28
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expose "bad_indice_policy" attribute for tf.gather_nd (python API)
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Account for trivial dimensions in TransposesMinorDimension().
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2024-05-29T12:47:14
2024-06-03T11:02:43
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Account for trivial dimensions in TransposesMinorDimension(). We don't care about whether trivial 1-sized dimensions change their position. FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/69033 from tensorflow:tilakrayal-patch-2 63a0146c62a5c5199abfb054dee9d4e9d084eb59
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[XLA:GPU] Add ToString() methods to Tiled HLO instructions and computations.
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2024-05-29T12:40:38
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[XLA:GPU] Add ToString() methods to Tiled HLO instructions and computations.
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[XLA:GPU] Add a "draft" version of a generic Triton Fusion Emitter.
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2024-05-29T12:38:48
2024-05-30T08:08:54
2024-05-30T08:08:53
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[XLA:GPU] Add a "draft" version of a generic Triton Fusion Emitter. This change introduces a new Triton emitter that should eventually replace the existing `MatMul` and `SoftMax` emitters. Highlights: - The new emitter is a replacement of the existing `TiledSoftMax` emitter and covers all of those cases. - For now th...
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[XLA:GPU] Print Interval as a semi-open interval.
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2024-05-29T11:47:35
2024-05-31T07:59:06
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[XLA:GPU] Print Interval as a semi-open interval. Replaced by %s/in \[\(\d\+\), \(\d\+\)\]/\='in ['.(submatch(1)).', '.(submatch(2)+1).')'/g
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[RNN] LSTM Model conversion error after upgrading to tf 2.16.1 from 2.15
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[ "@sonofisp,\r\nBy default the Tensorflow v2.16 contains the keras3.0 which might be the cause for the error. I suggest using the tf_keras 2.16 version for executing the code. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/f66a1510824cbab5199e3efe3992910e/untitled1922.ipynb). \r\...
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### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 10/Debian - TensorFlow installation (pip package or built from source): pip package - TensorFlow library (version, if pip package or github SHA, if built from source): 2.16.1 ### 2. Code A minimum example that produc...
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Sort summands by distance of symbols to insertion point.
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2024-05-29T11:33:26
2024-05-29T13:29:59
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Sort summands by distance of symbols to insertion point. By emitting more distant summands first, we maximize opportunities for LICM.
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Create a simple loop unswitching pass.
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2024-05-29T11:18:13
2024-05-29T13:50:00
2024-05-29T13:49:58
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Create a simple loop unswitching pass. In some cases, LLVM's loop unswitcher doesn't detect our conditions as trivial and doesn't optimize.
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