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Automated Code Change
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[xla:ffi] NFC: Remove dependency on ServiceExecutableRunOptions from XLA FFI
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2024-05-23T16:30:18
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[xla:ffi] NFC: Remove dependency on ServiceExecutableRunOptions from XLA FFI It's very hard to reconstruct ServiceExecutableRunOptions at various points where we want to call FFI handler. Also xla::Service at this point considered to be a legacy API. Instead pass the minimal set of data that might be needed by FFI han...
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68,491
Disable NCCL comm splitting by default as it leads to deadlocks
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2024-05-23T02:34:13
2024-05-23T04:05:07
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NONE
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Disable NCCL comm splitting by default as it leads to deadlocks Reverts f47b0b66880ba3d947d55ca88a75e5d4c2bcd3ba
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Reverts 4ce1a064f2e4b0c141aa64f590716db1cc9d74df
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2024-05-23T21:09:09
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NONE
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Reverts 4ce1a064f2e4b0c141aa64f590716db1cc9d74df
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Inline one-off use small functions as lambdas
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Inline one-off use small functions as lambdas
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68,488
Layout optimizer and transposing scalars
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Running this tutorial https://www.tensorflow.org/tutorials/images/classification, I am observing a run-time error: ```E tensorflow/core/grappler/optimizers/meta_optimizer.cc:961] layout failed: INVALID_ARGUMENT: Size of values 0 does not match size of permutation 4 @ fanin shape inStatefulPartitionedCall/sequential_2_...
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Fix audit wheel issue
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2024-05-23T01:40:18
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NONE
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Fix audit wheel issue
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Add a check that if any single dimension of an xla shape is 0 the data size is 0.
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2024-05-23T01:14:11
2024-05-23T01:14:11
NONE
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Add a check that if any single dimension of an xla shape is 0 the data size is 0.
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Refactor exhaustive testing of unary float32 functions into a library.
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Refactor exhaustive testing of unary float32 functions into a library.
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Update build visibility to use profiler_factory for libtpu testing
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Update build visibility to use profiler_factory for libtpu testing
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[XLA:GPU] Clang-tidy cleanup for xla/service/gpu/runtime/...
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2024-05-22T23:41:00
2024-05-23T01:06:38
2024-05-23T01:06:37
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[XLA:GPU] Clang-tidy cleanup for xla/service/gpu/runtime/...
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Reverts e8b4bfbeae5238030318aa166e9b30285ae87f7d
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2024-05-22T23:31:48
2024-05-22T23:57:19
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Reverts e8b4bfbeae5238030318aa166e9b30285ae87f7d
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Fix Artifact registry permission errors.
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2024-05-22T23:21:32
2024-05-22T23:59:16
2024-05-22T23:59:15
NONE
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Fix Artifact registry permission errors.
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[XLA:GPU] Clang-tidy cleanup for xla/service/gpu/runtime/{in,out}feed_thunk.cc
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2024-05-22T23:13:14
2024-05-23T18:21:59
2024-05-23T18:21:57
NONE
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[XLA:GPU] Clang-tidy cleanup for xla/service/gpu/runtime/{in,out}feed_thunk.cc
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Make Stream inherit from StreamInterface, and all the concrete StreamInterfaces inherit from Stream.
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2024-05-22T23:06:12
2024-05-23T17:36:19
2024-05-23T17:36:17
NONE
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Make Stream inherit from StreamInterface, and all the concrete StreamInterfaces inherit from Stream. This is the first step in eliminating StreamInterface as a separate class, and making Stream an abstract base class.
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Port JAX LAPACK custom calls to XLA's FFI (API v4)
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2024-05-22T22:54:41
2024-05-23T07:24:27
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Port JAX LAPACK custom calls to XLA's FFI (API v4) - Upgrade CPU custom calls to FFI. - Fix the array shape bug in the Tridiagonal Reduction kernel (insufficient allocation, shape off by one). - Correct and extend the `_lapack` module stub to not produce warnings. - Make Schur Decomposition return a fixed number of va...
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#tf-data-service Fix worker client test for reading over gRPC.
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2024-05-22T22:53:46
2024-05-22T23:30:11
2024-05-22T23:30:11
NONE
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#tf-data-service Fix worker client test for reading over gRPC. Without this change, we were silently upgrading to the local worker.
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Add a device_layout parameter to BufferFromHostLiteral in pjirt_client.
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2024-05-22T22:46:35
2024-05-29T17:58:39
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Add a device_layout parameter to BufferFromHostLiteral in pjirt_client.
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68,475
Move StreamExecutorMemoryAllocator to its own header & implementation file.
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2024-05-22T22:32:24
2024-05-22T22:32:24
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Move StreamExecutorMemoryAllocator to its own header & implementation file. This helps eliminate some circular dependencies.
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#tf-data-service Optionally, don't fall back to gRPC for alternative data transfer mechanisms.
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2024-05-22T21:31:09
2024-05-22T21:45:50
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#tf-data-service Optionally, don't fall back to gRPC for alternative data transfer mechanisms.
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When serializing a remote tensor handle, stop passing device name explicitly where it can be inferred
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2024-05-22T21:28:34
2024-06-05T04:40:27
2024-06-05T04:40:24
NONE
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When serializing a remote tensor handle, stop passing device name explicitly where it can be inferred
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Some refactoring to while_loop_unroller.cc
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2024-05-22T21:18:09
2024-05-22T23:02:00
2024-05-22T23:01:59
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Some refactoring to while_loop_unroller.cc
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Android Tflite model fails to load on GPU Delegate: CL_OUT_OF_HOST_MEMORY
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[ "Hi @filip-halt ,\r\n\r\nCan you please provide the tflite model file so that i can replicate the issue?", "> Hi @filip-halt ,\r\n> \r\n> Can you please provide the tflite model file so that i can replicate the issue?\r\n\r\nYou can find a copy here: https://github.com/filip-halt/tflite_bug It was too large to up...
2024-05-22T21:10:26
2024-06-06T19:21:22
null
NONE
null
null
null
### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? Yes ### Source source ### TensorFlow version org.tensorflow:tensorflow-lite:2.16.1 ### Custom code Yes ### OS platform and distribution Android ### Mobile device Samsung S23 ### Python version _No response_ ### Bazel version _N...
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Promote device_shape_representation_fn() from HloRunner to HloRunnerInterface.
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2024-05-22T21:05:01
2024-05-22T21:05:01
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Promote device_shape_representation_fn() from HloRunner to HloRunnerInterface. - Ensures that the same device shape func updates the entry computation layout in HloTestBase.
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Break LegalizeTfWithTf2xla out of passes.h to make using it easier.
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2024-05-22T20:35:36
2024-05-28T21:50:02
2024-05-28T21:49:59
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Break LegalizeTfWithTf2xla out of passes.h to make using it easier.
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Model weights cannot be saved
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[ "Hi @gcelano,\r\n\r\nIn Keras3, In order to save weights using model.save_weights method you need to add `.weights.h5` extension to the path.\r\n\r\n`model.save_weights('dir/my_model.weights.h5')`\r\n\r\nPlease check the [doc](https://keras.io/api/models/model_saving_apis/weights_saving_and_loading/#load_weights-me...
2024-05-22T20:31:50
2024-05-23T08:36:11
null
NONE
null
null
null
### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version 2.16.1 and inferior ### Custom code Yes ### OS platform and distribution Debian 12 Bookworm ### Mobile device _No response_ ### Python version _No response...
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[PJRT:CPU] We observe that in many situations, especially in the unit test environment, cpu clients won't be destroyed when the python process terminates, while there may still have pending tasks in the thread pool. Add a mechanism to make sure all thread pools will always be cleaned up.
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2024-05-22T20:30:14
2024-05-22T20:30:14
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[PJRT:CPU] We observe that in many situations, especially in the unit test environment, cpu clients won't be destroyed when the python process terminates, while there may still have pending tasks in the thread pool. Add a mechanism to make sure all thread pools will always be cleaned up.
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[cusparse] Add better stubs for cusparseGetErrorString and cusparseGetErrorName.
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2024-05-22T20:28:57
2024-05-22T22:07:01
2024-05-22T22:07:00
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[cusparse] Add better stubs for cusparseGetErrorString and cusparseGetErrorName. Fixes segfault in JAX if an invalid cuda version is installed (https://github.com/google/jax/issues/21349).
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Add checks to ensure that the device indices in the sharding are valid.
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2024-05-22T20:24:00
2024-05-22T21:28:23
2024-05-22T21:28:23
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Add checks to ensure that the device indices in the sharding are valid. The size of input_mapping depends on metadata.num_cores_per_replica(). And metadata is a protobuffer assigned by the poc.mlir. Missing validation for the index of input_mappings will lead to an out-of-bound vulnerability.
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Update nccl_archive from v2.19.3-1 to v2.21.5-1.
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2024-05-22T20:23:45
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Update nccl_archive from v2.19.3-1 to v2.21.5-1.
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Update linenoise from 4ce393a66b10903a0ef52edf9775ed526a17395f to d895173d679be70bcd8b23041fff3e458e1a3506.
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2024-05-22T20:18:58
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Update linenoise from 4ce393a66b10903a0ef52edf9775ed526a17395f to d895173d679be70bcd8b23041fff3e458e1a3506.
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Update snappy from 1.2.0 to 1.2.1.
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2024-05-22T20:18:52
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Update snappy from 1.2.0 to 1.2.1.
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68,460
Update com_google_googletest from release-1.12.1 to v1.14.0.
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2024-05-22T20:18:03
2024-05-22T20:18:03
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Update com_google_googletest from release-1.12.1 to v1.14.0.
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Update absl_py from v1.0.0 to v2.1.0.
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2024-05-22T20:16:09
2024-05-22T20:16:09
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Update absl_py from v1.0.0 to v2.1.0.
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Update com_github_googlecloudplatform_google_cloud_cpp from v1.17.1 to v2.24.0.
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2024-05-22T20:15:22
2024-05-22T20:15:22
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Update com_github_googlecloudplatform_google_cloud_cpp from v1.17.1 to v2.24.0.
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Update compute_library from v23.05.1 to v24.04.
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2024-05-22T20:13:49
2024-05-22T20:13:49
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Update compute_library from v23.05.1 to v24.04.
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Update com_github_google_crc32c from 1.0.6 to 1.1.2.
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2024-05-22T20:13:44
2024-05-22T20:13:44
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Update com_github_google_crc32c from 1.0.6 to 1.1.2.
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68,455
Update cpuinfo from ef634603954d88d2643d5809011288b890ac126e to 3c8b1533ac03dd6531ab6e7b9245d488f13a82a5.
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2024-05-22T20:11:38
2024-05-22T20:11:38
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Update cpuinfo from ef634603954d88d2643d5809011288b890ac126e to 3c8b1533ac03dd6531ab6e7b9245d488f13a82a5.
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Update XNNPACK from 50037f8072731a2cc30a961b96e199ad691887e4 to 39ac5f95ed70e67633d29114c3448c22fa353ea5.
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2024-05-22T20:10:23
2024-05-22T20:10:23
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Update XNNPACK from 50037f8072731a2cc30a961b96e199ad691887e4 to 39ac5f95ed70e67633d29114c3448c22fa353ea5.
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update doc ref
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2024-05-22T19:25:58
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update doc ref
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[XLA:GPU] Clang-tidy cleanup for xla/service/gpu/cudnn_norm_rewriter.cc
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2024-05-22T19:19:33
2024-05-22T23:25:43
2024-05-22T23:25:43
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[XLA:GPU] Clang-tidy cleanup for xla/service/gpu/cudnn_norm_rewriter.cc
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[xla:gpu] Fix a bug in pipelined-p2p-rewriter.
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2024-05-22T19:11:51
2024-05-22T21:21:42
2024-05-22T21:21:42
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[xla:gpu] Fix a bug in pipelined-p2p-rewriter. Previously, we call module schedule update each time when we transform a while-body as well as at the end of the pass. It turns out that updating the schedule for each while-body is not necessary and can also bring in changes that aren't track and cause problem in keeping...
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[xla:ffi] Add prepare and initialize stages to XLA FFI handler registration
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2024-05-22T18:46:18
2024-05-23T02:58:11
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[xla:ffi] Add prepare and initialize stages to XLA FFI handler registration
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Uses Stacker api to compute table stacking logic for SC
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2024-05-22T18:28:41
2024-05-31T23:40:11
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Uses Stacker api to compute table stacking logic for SC
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NFC: BUILD file changes
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2024-05-22T18:22:58
2024-05-23T23:08:10
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NFC: BUILD file changes
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68,447
Fix incorrect call to `getInt` when type is unsigned
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2024-05-22T18:21:56
2024-05-23T11:02:01
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Fix incorrect call to `getInt` when type is unsigned Produces a runtime error. Use `getUInt` instead. Fixes #12915
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Remove versions restrictions in hermetic python implementation.
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2024-05-22T20:39:18
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Remove versions restrictions in hermetic python implementation.
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68,445
Add TensorFlow version to `TPU_ML_PLATFORM_VERSION` environment variables.
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2024-05-22T17:55:07
2024-05-23T19:26:11
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Add TensorFlow version to `TPU_ML_PLATFORM_VERSION` environment variables. This will allow us to track the version of TensorFlow that is being used to run on Cloud TPU.
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[Multi-host GPU]Integrate GPU topology into PjRtClient for multi-host GPU support
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[Multi-host GPU]Integrate GPU topology into PjRtClient for multi-host GPU support --Integrate GpuTopology into PjRtTopologyDescription to represent multi-host GPU topologies --Utilize GlobalTopology to build GpuTopology during PjRt client creation --Update relevant tests FUTURE_COPYBARA_INTEGRATE_REVIEW=https://githu...
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PR #12633: Fix handling of unknown flags in the multihost HLO runner.
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2024-05-22T17:49:34
2024-05-22T19:15:02
2024-05-22T19:15:00
NONE
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PR #12633: Fix handling of unknown flags in the multihost HLO runner. Imported from GitHub PR https://github.com/openxla/xla/pull/12633 Fixes https://github.com/openxla/xla/issues/7923 Copybara import of the project: -- 71083c7d6dfdcaec1a5458b3f1cd04b11e13f8bd by Ilia Sergachev <isergachev@nvidia.com>: Fix handling...
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PR #12951: Update PJRT C API readme to link to header
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2024-05-23T06:44:56
2024-05-23T06:44:54
NONE
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PR #12951: Update PJRT C API readme to link to header Imported from GitHub PR https://github.com/openxla/xla/pull/12951 Copybara import of the project: -- edab0ad80b2c2cdc5d7debcb5dc1511de76a3908 by Skye Wanderman-Milne <skyewm@google.com>: Update PJRT C API readme to link to header Merging this change closes #12...
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PR #66023: [oneDNN] Add accidentally removed ops back to MklList for auto_mixed_precision
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PR #66023: [oneDNN] Add accidentally removed ops back to MklList for auto_mixed_precision Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/66023 [PR-62817](https://github.com/tensorflow/tensorflow/pull/62817) accidentally removed these ops, so adding them back. Copybara import of the project: -...
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Refactor loop unroller pass.
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2024-05-22T16:41:55
2024-06-05T00:54:52
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Refactor loop unroller pass. Add a knob to force unroll if needed.
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Simplify more reshapes.
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2024-05-22T16:34:25
2024-05-22T19:53:12
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Simplify more reshapes.
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less fill ops and assign device value in xla_broadcast pass
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2024-05-22T16:27:52
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less fill ops and assign device value in xla_broadcast pass
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PR #12942: [GPU] Fix cuDNN GEMM test tolerances.
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2024-05-22T16:17:47
2024-05-22T18:11:47
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PR #12942: [GPU] Fix cuDNN GEMM test tolerances. Imported from GitHub PR https://github.com/openxla/xla/pull/12942 Use the maximum absolute difference observed on 20 runs of these tests with different seed values. Copybara import of the project: -- c438b08ea7240c23ae98bc8dcf4ef45fa6d2e89c by Ilia Sergachev <isergach...
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Remove unused attributes from IfrtLoadVariableOp
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2024-05-22T16:07:03
2024-05-22T21:35:41
2024-05-22T21:35:41
NONE
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Remove unused attributes from IfrtLoadVariableOp
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[XLA:GPU] Use EstimateRunTimeData::ToString instead of VLogResult.
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2024-05-22T15:59:59
2024-05-22T16:48:23
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NONE
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[XLA:GPU] Use EstimateRunTimeData::ToString instead of VLogResult. The same logic to print roughly the same parameters in duplicated between to places.
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Remove LowerToMlProgramAndHlo() function.
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2024-05-22T15:28:44
2024-05-22T22:13:59
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NONE
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Remove LowerToMlProgramAndHlo() function.
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Introduce GatherNdGpuCompatible so we can have an option for compilers to ignore out-of-bound indices like GPU does.
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2024-05-22T15:12:38
2024-05-22T16:40:26
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Introduce GatherNdGpuCompatible so we can have an option for compilers to ignore out-of-bound indices like GPU does.
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Added option to drop bad gather index. This is to help developer add GPU-compatible version of GatherNd afterwards.
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2024-05-22T14:55:57
2024-05-22T17:36:38
2024-05-22T17:36:38
NONE
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Added option to drop bad gather index. This is to help developer add GPU-compatible version of GatherNd afterwards.
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Fix warp order calculations for MMA_V3 layouts. Hopper forces a [0,1] order for mma_v3 layouts (https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#matrix-fragments-for-wgmma-mma-async-m64nnk8) while keeping a [1,0] order for thread layouts so these two things have to be kept separate.
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2024-05-22T14:47:45
2024-05-23T07:26:47
2024-05-23T07:26:46
NONE
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Fix warp order calculations for MMA_V3 layouts. Hopper forces a [0,1] order for mma_v3 layouts (https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#matrix-fragments-for-wgmma-mma-async-m64nnk8) while keeping a [1,0] order for thread layouts so these two things have to be kept separate.
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[XLA:GPU] Simplify launch dimensions estimate for non-kernel fusions.
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2024-05-22T14:45:35
2024-05-22T18:51:04
2024-05-22T18:51:03
NONE
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[XLA:GPU] Simplify launch dimensions estimate for non-kernel fusions. That estimate should not be used in production code, because fusions that don't implement KernelFusionInterface don't generate CUDA kernels and there is nothing to fuse. We keep this estimate as a fallback mechanism. We don't have any additional inf...
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[XLA:GPU][NFC] Add and refactor GPU reduce-scatter-creator tests.
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2024-05-22T14:32:58
2024-05-23T09:57:58
2024-05-23T09:57:58
NONE
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[XLA:GPU][NFC] Add and refactor GPU reduce-scatter-creator tests.
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Clean up xla_gpu_ops.
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2024-05-22T14:20:54
2024-05-22T15:54:17
2024-05-22T15:54:15
NONE
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Clean up xla_gpu_ops. - Move & and * next to the type, where they belong, as everyone knows. - fix `reserve` calls in FoldApplyIndexingOperands
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Update XNNPack version.
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2024-05-22T13:50:24
2024-05-23T15:57:15
2024-05-23T15:57:14
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Update XNNPack version.
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Add a test for GatherNdOp to verify that it returns an error when the indices are out of range.
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2024-05-22T13:25:48
2024-05-22T16:27:15
2024-05-22T16:27:15
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Add a test for GatherNdOp to verify that it returns an error when the indices are out of range.
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68,425
MLIR emitters: Vectorize column reductions.
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2024-05-22T13:23:12
2024-05-22T20:20:07
2024-05-22T20:20:06
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MLIR emitters: Vectorize column reductions. Special thanks to github user lingzhi98 who experimented with this in https://github.com/openxla/xla/pull/11018. I tried to make the logic as similar for vectorized and non-vectorized reductions as I could. The vectorized logic looks like this: - produce N reduced elements...
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68,424
How to reduce the time running invoke()
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[ "@abichoi The significant difference in inference time between your two models is expected. Kindly follow the process below to reduce the invoke() time for the SSD Mobilenet v2 FPNLite 640x640 model on your Raspberry Pi 4B:\r\n\r\nPlease enable NNAPI acceleration by setting the target option in the Interpreter crea...
2024-05-22T12:35:35
2024-06-12T01:50:57
2024-06-12T01:50:53
NONE
null
null
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### Issue type Support ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version tf 2.15 ### Custom code Yes ### OS platform and distribution arm64 Debian GNU/Linux 11 ### Mobile device _No response_ ### Python version 3.9.2 ### Bazel version _No response_ ##...
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68,423
Normalize layouts for Gather.
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2024-05-22T12:12:47
2024-05-22T13:51:14
2024-05-22T13:51:14
NONE
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Normalize layouts for Gather. Unfortunately this requires to temporarily use unsorted offset_dims attribute. GatherSimplifier can turn this into valid HLO again.
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68,474
RuntimeError when invoking TFLite INT8 model with tile operation
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[ "Hi @ShabbirMarfatiya ,\r\n\r\nThanks for filing an issue, Could you please file a bug in the [TensorFlow](https://github.com/tensorflow/tensorflow/issues) where you can get the issue resolution faster.It is not related to the Model Garden models.\r\n\r\nThanks.", "Hi @laxmareddyp,\r\n\r\nThanks for the reply. I ...
2024-05-22T11:53:06
2024-05-30T06:18:01
2024-05-30T06:17:58
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 31 ...
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68,422
[XLA:GPU] Remove StatusOr from GetFusionEmitter.
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2024-05-22T11:06:38
2024-05-22T13:35:02
2024-05-22T13:35:00
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[XLA:GPU] Remove StatusOr from GetFusionEmitter. GetFusionEmitter never returns an error.
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[XLA:GPU] Move buffer assignment logic to MemcpyFusion::Emit.
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2024-05-22T10:09:19
2024-05-22T12:10:57
2024-05-22T12:10:57
NONE
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[XLA:GPU] Move buffer assignment logic to MemcpyFusion::Emit. GetFusionEmitter should be responsible only for matching the correct emitter. If buffer assignment fails, there is no way to fix that and we propagate status to the caller anyway, so it's better to do it in MemcpyFusion::Emit.
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Tensorflow Docker Instructions
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[ "Hi **@gcelano** ,\r\n- This issue belongs to NVIDIA, We are not working on NVIDIA repo. Please post this issue on NVIDIA repo.\r\n\r\nThank you!", "@Venkat6871 , in the Tensorflow instructions [1], one requirement is installing NVIDIA Docker support [2], but this is wrong, because that software has been deprecat...
2024-05-22T09:52:28
2024-05-28T09:55:49
null
NONE
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null
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### Issue type Documentation Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version 2.16 ### Custom code No ### OS platform and distribution Debian 12 Bookworm ### Mobile device _No response_ ### Python version _No response_ ### Bazel version _No respon...
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Fix TFLite XNNPack delegate `weight_cache_test.cc` when running on android.
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2024-05-22T09:11:16
2024-05-22T12:58:16
2024-05-22T12:58:15
NONE
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Fix TFLite XNNPack delegate `weight_cache_test.cc` when running on android. The temporary folder is located at `/data/local/tmp/` for Android.
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PR #12438: [XLA:GPU] add force inline option to get better llvm splits
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2024-05-22T09:05:44
2024-05-22T11:00:04
2024-05-22T11:00:03
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PR #12438: [XLA:GPU] add force inline option to get better llvm splits Imported from GitHub PR https://github.com/openxla/xla/pull/12438 Add option to XLA to enforce inlining before llvm splitModule or set preserveLocals=False to get more balanced splits in parallel compilation case. Some data of GPT3 5B model with ...
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68,417
Fix bug in FusionCanShareBufferHint() for transpose multi-output fusions.
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2024-05-22T08:57:04
2024-05-22T10:19:55
2024-05-22T10:19:53
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Fix bug in FusionCanShareBufferHint() for transpose multi-output fusions. We did not correctly check whether a fusion root is accessed in two different iteration orders. If there is another root that has a transpose hero, the iteration orders will be different.
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2024-05-22T08:36:42
2024-05-23T07:05:34
2024-05-23T07:05:33
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2024-05-22T08:27:34
2024-05-23T07:02:13
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2024-05-22T07:50:41
2024-05-22T10:58:39
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[XLA:GPU] Make "collectives-schedule-linearizer" a last optimisation pass.
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2024-05-22T07:44:13
2024-05-22T19:37:00
2024-05-22T19:37:00
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[XLA:GPU] Make "collectives-schedule-linearizer" a last optimisation pass.
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Allow fMHA test to run on A100+
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2024-05-22T07:37:58
2024-05-22T08:01:09
2024-05-22T08:01:07
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Allow fMHA test to run on A100+ Reverts 02195873785c2a582bc4a41363433b9361d701da
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Integrate LLVM at llvm/llvm-project@446f66d685c2
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2024-05-22T07:35:21
2024-05-23T11:51:59
2024-05-23T11:51:58
NONE
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Integrate LLVM at llvm/llvm-project@446f66d685c2 Updates LLVM usage to match [446f66d685c2](https://github.com/llvm/llvm-project/commit/446f66d685c2)
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Also allow epilogues for kCopy ops.
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2024-05-22T07:12:09
2024-05-22T08:35:57
2024-05-22T08:35:57
NONE
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Also allow epilogues for kCopy ops. Normally we replace kCopy with transpose in LayoutNormalization. But if some other pass reintroduces copies, we should still handle them in the same way as logical transposes.
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Fixes source list after schema utility functions relocation.
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2024-05-22T07:06:33
2024-05-22T17:23:28
2024-05-22T17:23:26
NONE
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Fixes source list after schema utility functions relocation.
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Use rocm_library in rocm_embedded_test_modules
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2024-05-22T06:51:10
2024-05-28T14:35:21
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Use rocm_library in rocm_embedded_test_modules This is refactoring the `rocm_embedded_test_modules` so that it is using the `rocm_library` macro instead of invoking the compiler directly. This has the advantage that hipcc is not needed anymore and a standard clang with the amdgpu backend enabled can be used. Reverts...
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[XLA:GPU] Move buffer assignment logic to MemcpyFusion::Emit.
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2024-05-22T06:41:19
2024-05-22T12:06:59
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[XLA:GPU] Move buffer assignment logic to MemcpyFusion::Emit. GetFusionEmitter should be responsible only for matching the correct emitter. If buffer assignment fails, there is no way to fix that and we propagate status to the caller anyway, so it's better to do it in MemcpyFusion::Emit.
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Update cuDNN to version 9.1.1 in XLA
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2024-05-22T06:38:57
2024-05-23T16:37:04
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Update cuDNN to version 9.1.1 in XLA
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68,405
Move XPlaneVisitor helper class to OSS.
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2024-05-22T05:39:33
2024-05-29T03:58:22
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Move XPlaneVisitor helper class to OSS.
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Canonicalize boundary values in the IR replacing -Inf/Inf with MIN/MAX float value.
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2024-05-22T05:28:28
2024-05-22T05:28:28
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Canonicalize boundary values in the IR replacing -Inf/Inf with MIN/MAX float value.
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#tf-data Turn up `map_fusion` experiment to 1% task-level.
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2024-05-22T15:12:25
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#tf-data Turn up `map_fusion` experiment to 1% task-level.
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Eliminate a race condition in host_tracer_test in ThreadPool::Schedule and collecting the trace data.
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2024-05-22T03:19:48
2024-05-22T03:54:00
2024-05-22T03:53:59
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Eliminate a race condition in host_tracer_test in ThreadPool::Schedule and collecting the trace data.
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Move host-compute-offloading wrapping after SPMD sharding to shard calls executed on host
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2024-05-22T01:32:41
2024-05-22T02:31:43
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NONE
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Move host-compute-offloading wrapping after SPMD sharding to shard calls executed on host FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/12915 from openxla:aportnoy/ffi-attribute-map-handle-unsigned-integers 7a26d6fa5ca122ad3ad56ba9e3668eab8c9b0235
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First cl to implement a pass to unstack loop operands.
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2024-05-22T00:58:20
2024-05-30T22:05:17
2024-05-30T22:05:14
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First cl to implement a pass to unstack loop operands. This pass implements unstacking for loop operands. Generally speaking, unstacking is the act of breaking a rank n tensor into n smaller n-1 rank tensors without changing the semantics of the program. There are different patterns that can benefit from unstacking. T...
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Update trace_viewer to identify host XLA ops and show cross links.
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2024-05-22T00:33:49
2024-05-22T00:33:50
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Update trace_viewer to identify host XLA ops and show cross links.
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Update ir_emmiter to only add necessary information.
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2024-05-22T03:39:17
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Update ir_emmiter to only add necessary information. Other details about the event can be added in post processing.
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Fix configure.py issue with --clang_path.
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Fix configure.py issue with --clang_path. If --clang_path is passed a symlink, an error would occur when building C++ files that had includes from the standard library. E.g., a possible error was: ERROR: /root/.cache/bazel/_bazel_root/e4ab50d61a21943a819d1e092972a817/external/zlib/BUILD.bazel:5:11: Compiling zutil.c...
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PR #12915: Handle unsigned MLIR integers during FFI attribute conversion
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2024-05-21T23:55:53
2024-05-22T01:39:45
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NONE
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PR #12915: Handle unsigned MLIR integers during FFI attribute conversion Imported from GitHub PR https://github.com/openxla/xla/pull/12915 Copybara import of the project: -- 7a26d6fa5ca122ad3ad56ba9e3668eab8c9b0235 by Andrey Portnoy <aportnoy@nvidia.com>: Handle unsigned MLIR integers during FFI attribute conversi...
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PR_kwDOArmXAs5wIuuQ
68,395
Fix auto_sharding_runner dependencies.
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2024-05-21T23:28:31
2024-05-22T00:10:30
2024-05-22T00:10:29
NONE
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Fix auto_sharding_runner dependencies. FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/12912 from openxla:aportnoy/improve-ffi-c-api-datatype-error-message 32908d2d90a89269c655dff6d999bfc974f405a9
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2,309,245,185
I_kwDOArmXAs6JpEkB
68,394
Instructions to install Tensorflow
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[ "@gcelano,\r\nThank you for the issue. We observed the same, please allow some time to have a concern on this issue and will provide the update on the same. Thank you!", "@gcelano,\r\nWe are trying to resolve the above mentioned issue by raising the request for the changes and those will be reflected once the req...
2024-05-21T22:50:15
2024-06-06T01:49:31
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### Issue type Documentation Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version 2.16 ### Custom code No ### OS platform and distribution Debian 12 Bookworm ### Mobile device _No response_ ### Python version _No response_ ### Bazel version _No respon...
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