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Integrate LLVM at llvm/llvm-project@8ba880b58707 Updates LLVM usage to match [8ba880b58707](https://github.com/llvm/llvm-project/commit/8ba880b58707)
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Use tsl::Env instead of tensorflow::Env to fix the build.
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2024-04-30T08:42:27
2024-05-08T23:42:35
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Add missing dependency to cuda_headers.
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2024-04-30T08:26:13
2024-04-30T09:38:41
2024-04-30T09:38:39
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Add missing dependency to cuda_headers. stream_executor_util_kernel needs to depend on cuda_headers.
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Handle fusion parameters correctly when removing instructions.
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2024-04-30T07:59:43
2024-04-30T12:51:08
2024-04-30T12:51:08
NONE
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Handle fusion parameters correctly when removing instructions. When a fusion parameter is removed, we need to renumber all fusion parameters with a higher number, and also remove the corresponding operand from the fusion instruction.
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2024-04-30T07:50:28
2024-05-01T23:57:13
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TFLiteGPUDelegate : FirstNLargestPartitions : It would not be very good solution
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[ "Hi @easyhardhoon ,\r\n\r\nThere is a option to select the start and end nodes which you want to be delegated in the tflite benchmarking tool as you can see below. \r\n\r\n_first_delegate_node_index: int (default=0)\r\nThe index of the first node that could be delegated. Debug only. Add '--define=tflite_debug_deleg...
2024-04-30T07:47:48
2024-05-16T16:40:35
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### Issue type Performance ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version tf 2.4.1 ### Custom code Yes ### OS platform and distribution Linux Ubuntu 18.04 ### Mobile device Jetson-Xavier nx ### Python version 3.6.9 ### Bazel version 3.1.0 ### GCC/c...
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Fix input/output indexing for side broadcast outputs.
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2024-04-30T07:36:27
2024-04-30T09:01:40
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Fix input/output indexing for side broadcast outputs. The current logic is only correct for elementwise ops, but it is possible to have broadcasts in reduction epilogues.
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2024-04-30T06:57:29
2024-05-09T00:37:14
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2024-04-30T06:55:19
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2024-04-30T06:54:57
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2024-04-30T06:27:53
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2024-04-30T06:27:40
2024-05-08T00:49:36
2024-05-08T00:49:33
NONE
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2024-04-30T06:11:03
2024-04-30T07:17:39
2024-04-30T07:17:38
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Integrate LLVM at llvm/llvm-project@d566a5cd22b4
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2024-04-30T05:45:39
2024-05-01T23:29:03
2024-05-01T23:29:00
NONE
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Integrate LLVM at llvm/llvm-project@d566a5cd22b4 Updates LLVM usage to match [d566a5cd22b4](https://github.com/llvm/llvm-project/commit/d566a5cd22b4)
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Reduce the frequency of connection termination log
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2024-04-30T04:53:55
2024-04-30T05:50:03
2024-04-30T05:50:03
NONE
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Reduce the frequency of connection termination log This can become really verbose when the server shuts down and the client doesn't terminate immediately.
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Explicitly close the host callback queues inside `IfrtBackend` destruction
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2024-04-30T04:45:23
2024-04-30T04:53:23
2024-04-30T04:53:23
NONE
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Explicitly close the host callback queues inside `IfrtBackend` destruction If there are host callback executions that are blocked inside `RemoteLoadedHostCallbackQueue::Pop()`, they will not be cancelled automatically unless `RemoteLoadedHostCallbackQueue::Close()` is called. This causes a deadlock since `IfrtBackend`...
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[pjrt] NFC: Merge implementation of stateful and stateless futures
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2024-04-30T04:10:57
2024-05-01T19:56:05
2024-05-01T19:56:03
NONE
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[pjrt] NFC: Merge implementation of stateful and stateless futures Move shared code into the PjRtFutureBase and keep only meaningfully different functions in PjRtFuture<T> and PjRtFuture<>.
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Optimize`SparseTensor::Split()` by not calling `Tensor::matrix()` for each element.
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2024-04-30T02:07:27
2024-05-15T03:42:42
null
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Optimize`SparseTensor::Split()` by not calling `Tensor::matrix()` for each element.
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PR #11908: [GPU][NFC] Annotate cuDNN graphs with operation names from HLO.
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2024-04-30T01:46:52
2024-04-30T03:19:40
2024-04-30T03:19:40
NONE
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PR #11908: [GPU][NFC] Annotate cuDNN graphs with operation names from HLO. Imported from GitHub PR https://github.com/openxla/xla/pull/11908 Copybara import of the project: -- 2722433efae66dfce1444ecfbe5d8bb2915a1000 by Ilia Sergachev <isergachev@nvidia.com>: [GPU][NFC] Annotate cuDNN graphs with operation names f...
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PR #11881: Improve NVTX ranges emitted during auto-tuning
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2024-04-30T01:46:35
2024-04-30T03:04:14
2024-04-30T03:04:13
NONE
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PR #11881: Improve NVTX ranges emitted during auto-tuning Imported from GitHub PR https://github.com/openxla/xla/pull/11881 New ranges: - XlaAutotunerCompilation - XlaAutotunerMeasurement Allow easier analysis of which parts of autotuning are related to compilation. Copybara import of the project: -- 921c3c39c3cc...
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Fix TFLite converter regression for softmax due to Jax upstream change in https://github.com/google/jax/pull/15677.
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2024-04-30T01:35:09
2024-05-01T22:51:48
2024-05-01T22:51:48
NONE
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Fix TFLite converter regression for softmax due to Jax upstream change in https://github.com/google/jax/pull/15677.
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Remove `IfrtSessionHandler`
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2024-04-30T01:18:16
2024-04-30T02:21:59
2024-04-30T02:21:59
NONE
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Remove `IfrtSessionHandler` We never end up creating more than one backend and we don't have chunked requests/responses anymore, so `IfrtSessionHandler` adds more complexity with no value. This CL changes the server implementation to directly instantiate a backend without having to go through `IfrtSessionHandler`.
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[XLA:CPU] Enable constant host offloading
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2024-04-30T00:32:44
2024-04-30T22:48:17
2024-04-30T22:48:17
NONE
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[XLA:CPU] Enable constant host offloading
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TEST Enable cuda11 TAP build for xprof CI.
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2024-04-29T23:36:30
2024-04-29T23:36:30
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TEST Enable cuda11 TAP build for xprof CI.
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Updates control dependencies for peeled collective permutes.
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2024-04-29T23:27:20
2024-05-03T18:28:31
2024-05-03T18:28:29
NONE
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Updates control dependencies for peeled collective permutes.
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[XLA:TPU] HostOffloader: Refactor HandleInputStreaming to occur before tracing the graph for custom calls.
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2024-04-29T22:56:07
2024-05-09T20:23:49
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[XLA:TPU] HostOffloader: Refactor HandleInputStreaming to occur before tracing the graph for custom calls. Currently, input streaming gets handled in arbitrary order, after we have already possibly searched the graph for the corresponding streamed custom calls. This refactors the input streaming to occur before any gr...
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Create DeviceMemoryHandle which fulfills a similar function to ScopedDeviceMemory, with no ties to DeviceMemoryAllocator.
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2024-04-29T22:50:16
2024-04-30T22:34:47
2024-04-30T22:34:47
NONE
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Create DeviceMemoryHandle which fulfills a similar function to ScopedDeviceMemory, with no ties to DeviceMemoryAllocator. This is a step in breaking circular dependencies between DeviceMemoryAllocator and StreamExecutor.
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Extends the TFLite Benchmarker to support multiple signatures.
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2024-04-29T22:45:06
2024-05-08T23:03:05
2024-05-08T23:03:03
NONE
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Extends the TFLite Benchmarker to support multiple signatures.
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Adding parameter support for disabling per channel quantization while running quantizer.
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2024-04-29T22:16:25
2024-05-03T00:45:22
2024-05-03T00:45:22
NONE
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Adding parameter support for disabling per channel quantization while running quantizer.
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#tf-data Use multi-threading to run flat map func.
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2024-04-29T22:03:50
2024-04-30T00:55:01
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NONE
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#tf-data Use multi-threading to run flat map func.
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Define GetDefaultLayoutForDevice for CompileOnlyIfRtClient.
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2024-04-29T22:02:25
2024-04-29T22:58:54
2024-04-29T22:58:54
NONE
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Define GetDefaultLayoutForDevice for CompileOnlyIfRtClient.
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Implement a Freeze() api to release host memory for device tensors.
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2024-04-29T22:00:39
2024-05-01T00:59:50
2024-05-01T00:59:49
NONE
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Implement a Freeze() api to release host memory for device tensors. Whether a restored tensor can be released is based on whether it is ever used by the CPU/Host ops and this information comes from compiler.
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Remove unnecessary tags on gpu tests
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2024-04-29T21:52:19
2024-04-30T15:08:30
2024-04-30T15:08:28
NONE
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Remove unnecessary tags on gpu tests
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Prevent generating ReadVariableOp which has a corresponding read op top of tf_device.replate op
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2024-04-29T21:44:04
2024-05-02T16:54:50
2024-05-02T16:54:49
NONE
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Prevent generating ReadVariableOp which has a corresponding read op top of tf_device.replate op
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Do not include CUDA deps for LIBTPU build.
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2024-04-29T21:32:40
2024-05-01T20:57:35
2024-05-01T20:57:33
NONE
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Do not include CUDA deps for LIBTPU build.
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Allows real_output_multipliers to be > 1 for quantized sub operations
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2024-04-29T21:24:30
2024-04-29T22:15:21
2024-04-29T22:15:21
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Allows real_output_multipliers to be > 1 for quantized sub operations
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Don't allocate while uses on retry_number > 0
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2024-04-29T21:17:11
2024-04-29T21:17:11
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Don't allocate while uses on retry_number > 0
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Optimize KVCache memory.
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2024-04-29T21:06:09
2024-05-01T18:16:50
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2024-04-29T21:02:43
2024-05-04T00:11:54
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Some refactoring to WhileLoopUnroller pass.
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[xla:gpu] Added the missing C* switch cases to xla::ffi::ToDataType
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2024-04-29T20:56:09
2024-04-29T23:13:04
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[xla:gpu] Added the missing C* switch cases to xla::ffi::ToDataType
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2024-04-29T20:27:29
2024-04-30T21:25:21
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Reverts changelist 473051719
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PR #11551: Dimensional Ordering of Layer Norm Operands
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2024-04-29T19:53:27
2024-04-29T21:18:36
2024-04-29T21:18:35
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PR #11551: Dimensional Ordering of Layer Norm Operands Imported from GitHub PR https://github.com/openxla/xla/pull/11551 Orders the dimensions of the operands of layer norm Custom Calls as required by cuDNN 9.1 and newer. Copybara import of the project: -- d9369e905968697139b6c3d7ecf12698abcc1e04 by Philipp Hack <ph...
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Add instructions to report issues to GitHub for unsupported features in PJRT C API.
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2024-04-29T19:44:29
2024-05-01T00:31:10
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PR #11597: Compile F32, BF16 and S32 constants in cuDNN graph.
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2024-04-29T19:24:58
2024-04-30T20:05:30
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PR #11597: Compile F32, BF16 and S32 constants in cuDNN graph. Imported from GitHub PR https://github.com/openxla/xla/pull/11597 Support compiling F32, BF16 and S32 constants in cuDNN graph. This PR is blocked until cuDNN frontend dependency is upgraded to v1.3. Copybara import of the project: -- e8c6a3f4186242d812a...
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Fix remove unused variables
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2024-04-29T18:58:16
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Fix remove unused variables
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2024-04-29T18:43:53
2024-04-30T18:36:53
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Reverts changelist 629123951
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Use `:gtest` instead of `:gtest_main` in PJRT API test libraries
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2024-04-29T18:43:36
2024-04-30T01:32:20
2024-04-30T01:32:18
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Use `:gtest` instead of `:gtest_main` in PJRT API test libraries - This is to allow actual test definitions which depend on the test library to override the heap checker behavior.
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PR #11880: InitializeBuffer: use maximum 2 h2d copies
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2024-04-29T17:35:51
2024-04-30T08:20:57
2024-04-30T08:20:56
NONE
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PR #11880: InitializeBuffer: use maximum 2 h2d copies Imported from GitHub PR https://github.com/openxla/xla/pull/11880 This provides a significant speedup when autotuning, where buffers are repeatedly initialized. Instead of repeatedly copying the same data to different locations on the device, it is copied once (us...
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[ROCm] Add OUTPUT_PATH repo env to set destination for artifacts
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[ "@penpornk and @gbaned please review this.", "Hi @hsharsha Can you please review this PR? Thank you!", "> Hi @hsharsha Can you please review this PR? Thank you!\r\n\r\n@gbaned I am the author for this PR, Awaiting review from @penpornk ", "> > Hi @hsharsha Can you please review this PR? Thank you!\r\n> \r\n...
2024-04-29T17:28:32
2024-06-07T17:19:20
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TFLite: Stable Delegate: how to use stable_delegate with python API
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[ "Hi @sushreebarsa \r\nany updates on this?\r\nthanks", "@suyash-narain \r\ntflite.load_delegate directly searches for the shared library (.so file) and doesn't handle settings files like stable_delegate_settings.json. There's a workaround to achieve your goal using the Python API.\r\nCould you try to Parse the `s...
2024-04-29T17:26:37
2024-05-25T01:48:41
2024-05-25T01:48:38
NONE
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I am using tflite 2.16.1 My target is an aarch64 linux system I have a tflite stable_delegate .so shared library, and a stable_delegate settings json file called 'stable_delegate_settings.json which I can execute using TFLite benchmark model using the commands ./benchmark_model --graph=model.tflite --stable_de...
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[tsl:concurrency] Workaround for MSVC compiler bug for std::enable_if_t specialization
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2024-04-29T17:08:54
2024-04-30T15:20:46
2024-04-30T15:20:45
NONE
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[tsl:concurrency] Workaround for MSVC compiler bug for std::enable_if_t specialization https://godbolt.org/z/oj9o6eraa - fixed in msvc 19.32
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Remove unused StreamExecutor::implementation method.
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2024-04-29T16:49:26
2024-04-30T02:15:17
2024-04-30T02:15:16
NONE
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Remove unused StreamExecutor::implementation method.
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xla_compile_lib: Fix reads of uninitialized memory.
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2024-04-29T16:41:42
2024-04-29T20:45:33
2024-04-29T20:45:32
NONE
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xla_compile_lib: Fix reads of uninitialized memory. C++ still doesn't zero-initialize primitives, so we need to do it ourselves. Discovered with MSAN.
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Remove LINT check for IFTTT since we're keeping replicated and non replicated out of sync
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2024-04-29T16:34:06
2024-04-30T16:09:23
2024-04-30T16:09:23
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Remove LINT check for IFTTT since we're keeping replicated and non replicated out of sync
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[XLA:GPU][MLIR-Based emitters] Make lower_func pass a FunctionPass.
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2024-04-29T16:32:15
2024-05-02T07:11:07
2024-05-02T07:11:06
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[XLA:GPU][MLIR-Based emitters] Make lower_func pass a FunctionPass.
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Move TPU Sharding Identification Pass to internal tf2xla directory
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2024-04-29T16:29:13
2024-04-30T02:01:22
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Move TPU Sharding Identification Pass to internal tf2xla directory
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Fix linker error in `autotuner_compile_util_test_gpu` by always linking against `main` even when gpu is not configured
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2024-04-29T16:24:04
2024-04-29T18:27:18
2024-04-29T18:27:17
NONE
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Fix linker error in `autotuner_compile_util_test_gpu` by always linking against `main` even when gpu is not configured
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Introduce utility function GetPrevAllowedBatchSize.
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2024-04-29T14:55:07
2024-06-10T15:00:09
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Introduce utility function GetPrevAllowedBatchSize.
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Introduce the MaybeBatchDown helper method, only supporting kBatchDown at this time.
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2024-04-29T14:54:26
2024-06-10T14:55:52
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Introduce the MaybeBatchDown helper method, only supporting kBatchDown at this time. This method is not used anywhere yet; It will be called from the SharedBatchScheduler in a follow up CL.
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Switch tfl dialect to use properties.
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2024-04-29T14:48:07
2024-05-02T09:41:27
2024-05-02T09:41:26
NONE
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Switch tfl dialect to use properties.
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Fix transpose fusions with side outputs.
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2024-04-29T14:19:39
2024-04-29T15:45:56
2024-04-29T15:45:55
NONE
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Fix transpose fusions with side outputs. - Evaluate all transposes in one loop. - Remove side outputs from epilogues. - Produce side output values in first loop (otherwise, there's no chance of sharing data, making the whole side output thing pointless).
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Introduce the --tensorflow_batch_padding_policy flag.
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2024-04-29T14:18:16
2024-06-10T14:55:12
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Introduce the --tensorflow_batch_padding_policy flag.
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[xla:gpu] Added support for complex types to the FFI
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2024-04-29T14:16:11
2024-04-29T20:39:26
2024-04-29T20:39:26
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[xla:gpu] Added support for complex types to the FFI
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[xla:gpu] FFI handlers can now return a variable number of results
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2024-04-29T13:54:42
2024-04-29T21:59:25
2024-04-29T21:59:24
NONE
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[xla:gpu] FFI handlers can now return a variable number of results The API mirrors that of .RemainingArgs(), so a handler with variadic inputs/inputs now looks like this Ffi::Bind().RemainingArgs().RemainingRets().To(...)
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[XLA:Array] Allow array indexing to be optionally out of bounds.
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2024-04-29T12:50:18
2024-04-29T16:26:20
2024-04-29T16:26:19
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[XLA:Array] Allow array indexing to be optionally out of bounds.
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make error in Tensorflow Lite Micro
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[ "Hi @abcd123abcd ,\r\n\r\nI tried replicating your error but i kept running into library issues. Can you please update your python version and then try installing tflite micro and let me know if the issue still persists for you .", "This issue is stale because it has been open for 7 days with no activity. It will...
2024-04-29T12:18:03
2024-06-04T01:49:53
2024-06-04T01:49:50
NONE
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System information Linux Ubuntu 18.04 Python version: 2.7.17 The problem I'm trying to generate the example projects from the TensorFlow Lite for Microcontrollers C++ library with Make and I run in this error: Traceback (most recent call last): File "tensorflow/lite/micro/tools/make/generate_keil_project.py...
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[XLA:GPU][MLIR-Based emitters] Lower xla_gpu.indexing_op -> arith.
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2024-04-29T12:13:28
2024-05-02T06:49:47
2024-05-02T06:49:47
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[XLA:GPU][MLIR-Based emitters] Lower xla_gpu.indexing_op -> arith.
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2024-04-29T12:06:39
2024-05-08T01:58:54
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Fix compile error in collective_ops_test_e2e.
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2024-04-29T11:30:35
2024-04-29T12:47:45
2024-04-29T12:47:44
NONE
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Fix compile error in collective_ops_test_e2e.
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2024-04-29T10:44:30
2024-05-08T01:58:50
2024-05-08T01:58:47
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Remove restriction on tuple shapes in hlo_to_elemental_mlir.
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2024-04-29T10:39:37
2024-04-29T12:00:48
2024-04-29T12:00:48
NONE
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Remove restriction on tuple shapes in hlo_to_elemental_mlir. - fix input slices fusion (now it actually does what the legacy version did). I'm not sure this fusion type is particularly useful though (unless the input is the same for all slices). - fix loop fusion (support root tuples with bitcasts) - disable side ...
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2024-04-29T10:29:56
2024-05-08T00:07:41
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NONE
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[XLA:GPU] Fix the output shape in the autotune unified redzone buffers.
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2024-04-29T10:02:23
2024-04-29T11:23:30
2024-04-29T11:23:29
NONE
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[XLA:GPU] Fix the output shape in the autotune unified redzone buffers. After this CL, the output shape will not be a tuple if it contains only a single element. I broke this by accident in cl/626122610. I also added tests that ensure the correct behavior.
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Add kernel support for StableHLO Composite op.
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2024-04-29T09:41:48
2024-04-29T10:08:25
2024-04-29T10:08:24
NONE
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Add kernel support for StableHLO Composite op.
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2024-04-29T09:33:47
2024-05-08T01:58:43
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Allow HloDCE to remove unused tuple elements of MOF
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2024-04-29T09:16:23
2024-05-02T07:04:53
2024-05-02T07:04:52
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Allow HloDCE to remove unused tuple elements of MOF Multi-Output fusions (MOF) should not have tuple outputs that are unused. This change adds logic to clean up such fusions.
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2024-04-29T08:54:55
2024-04-29T11:10:40
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PR #11422: [NVIDIA GPU] Remove control knobs for each individual async collective and use the global xla_gpu_disable_async_collectives
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PR #11422: [NVIDIA GPU] Remove control knobs for each individual async collective and use the global xla_gpu_disable_async_collectives Imported from GitHub PR https://github.com/openxla/xla/pull/11422 Currently we have 1 global flag(xla_gpu_enable_async_collectives) to control whether we want to asynchronize collecti...
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Some confusion about Tensorflow Distributed Training(The amount of synchronized data is much larger than the theoretical value)
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[ "@certainly-cyber,\r\n**tf.contrib.distribute.CollectiveAllReduceStrategy** is not available and it was the deprecated API. The CollectiveAllReduceStrategy is [exported as](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/distribute/collective_all_reduce_strategy.py#L56) **MultiWorkerMirroredS...
2024-04-29T07:24:24
2024-05-21T13:51:06
2024-05-21T13:51:02
NONE
null
null
null
### Issue type Support ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version TF1.14 ### Custom code No ### OS platform and distribution Linux Ubuntu 20.04 ### Mobile device _No response_ ### Python version 2 ### Bazel version _No response_ ### GCC/compile...
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Fix flakiness in TFLite DRQ TransposeConv op test
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2024-04-29T07:20:51
2024-04-29T16:12:26
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Fix flakiness in TFLite DRQ TransposeConv op test
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2024-04-29T06:08:05
2024-04-29T07:42:12
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Automated Code Change FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/openxla/xla/pull/10495 from jaro-sevcik:host-offload-call-layout-fix ce6aeac3ac5445ab014d36c92a181dbe7afc35e7
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CUDNN_STATUS_BAD_PARAM in external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc(4175): 'op' CUDNN_BACKEND_OPERATION: cudnnFinalize Failed
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[ "Hi @sylviahamidah ,\r\n\r\nCould you please try with model.fit() instead of model.fit_generator() as it is deprecated. Also request you to share minimal code snippet if above change won't work for you. Thanks.", "Hi @SuryanarayanaY \r\nI've tried model.fit() but the error is still the same.\r\n\r\nHere I attache...
2024-04-29T03:57:49
2024-05-13T06:35:08
2024-05-13T06:35:05
NONE
null
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### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version tf 2.15.0 ### Custom code Yes ### OS platform and distribution Google Colaboratory ### Mobile device Google Colaboratory ### Python version 3.10.12 ### Bazel version _No response_ ##...
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TfLiteGpuDelegate Init: BATCH_MATMUL: Node 333 is already a consumer of the value 334
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[ "@harrylal Could you try for disabling specific GPU delegate optimizations related to Batch Matrix Multiplication, if applicable?\r\nThank you!", "@sushreebarsa Thank you for the response. \r\n\r\nExporting the model on a different enviornement ([ultralytics docker](https://github.com/ultralytics/ultralytics)) r...
2024-04-29T03:53:38
2024-05-11T01:44:57
2024-05-11T01:44:54
NONE
null
null
null
### Issue type Support ### Have you reproduced the bug with TensorFlow Nightly? Yes ### Source source ### TensorFlow version 2.16 ### Custom code Yes ### Mobile device Android 10 ### GPU model and memory Mali - G72*3 ### Tflite Model [tflite model](https://drive.google.com/fi...
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2024-04-29T03:25:43
2024-05-07T02:29:01
2024-05-07T02:28:59
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[XLA:GPU] Use parent fusion adaptor to correctly find operands and users.
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2024-04-29T02:49:20
2024-05-01T04:17:20
2024-05-01T04:17:18
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[XLA:GPU] Use parent fusion adaptor to correctly find operands and users. After this change, HloInstruction adaptor wouldn't look inside kFusion instruction that not part of the relevant fusion adaptor.
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IllegalArgumentException: Internal error: Failed to run on the given Interpreter
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[ "hi @Coder-HuangBH ,\r\n\r\nCan you please briefly describe the error, i can see two inference results from the logs, but i don't understand if they are from the same interpreter or different interpreter , also can you share your inference code from the android .", "This issue is stale because it has been open f...
2024-04-29T02:27:23
2024-06-09T01:54:14
2024-06-09T01:54:10
NONE
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### Issue type Bug ### Have you reproduced the bug with TensorFlow Nightly? No ### Source source ### TensorFlow version org.tensorflow:tensorflow-lite:2.11.0 ### Custom code Yes ### OS platform and distribution win10 ### Mobile device Android12 ### Python version _No response_ ### Bazel version _No res...
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Integrate StableHLO at openxla/stablehlo@b6406a43
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2024-04-29T02:15:49
2024-05-01T22:03:47
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Integrate StableHLO at openxla/stablehlo@b6406a43
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2024-04-29T01:14:29
2024-04-29T02:34:51
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