[js/webgpu] Create Split indices helpers by rank, not by shape #19554
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### Description This is required to make shape uniforms really work. ### Motivation and Context The bug was unveiled in a model with multiple Split nodes. The later nodes would try to reuse a previous pipeline cache, while the old shapes were hardcoded as constants in cache.
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LGTM, thanks! |
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/azp run Windows ARM64 QNN CI Pipeline,Windows x64 QNN CI Pipeline,Windows CPU CI Pipeline,Windows GPU CI Pipeline,Windows GPU TensorRT CI Pipeline,ONNX Runtime Web CI Pipeline,Linux CPU CI Pipeline,Linux CPU Minimal Build E2E CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline |
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/azp run Linux OpenVINO CI Pipeline,Linux QNN CI Pipeline,MacOS CI Pipeline,orttraining-amd-gpu-ci-pipeline,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,orttraining-ortmodule-distributed,onnxruntime-python-checks-ci-pipeline,onnxruntime-binary-size-checks-ci-pipeline,Android CI Pipeline |
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/azp run iOS CI Pipeline,ONNX Runtime React Native CI Pipeline |
fs-eire
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/azp run Big Models |
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commit 05ed89f46980b7e5a5328bc20af8b32ca9f1f715 Author: PeixuanZuo <[email protected]> Date: Thu Feb 22 13:34:55 2024 +0800 [ROCm] Add excluded libs for ROCm python package (#19586) The rocm lib version has changed in rocm 6.0 Using libs packaged in whl might cause errors. For example, `libamdhip64.so.6` packaged in whl will cause compute error when training gpt2 model. The root cause still in investigating. commit 8354329086ebb190db9ea0cb6a3fa72f53f8f881 Author: PeixuanZuo <[email protected]> Date: Thu Feb 22 13:34:45 2024 +0800 [ROCm] SkipGroupNorm triton (#19408) Change GroupNorm triton to support SkipGroupNorm commit 3d88487c96bf467c4b83dff179c9e282602e2d64 Author: Vincent Wang <[email protected]> Date: Thu Feb 22 10:35:26 2024 +0800 Minor Triton Fix (#19589) Including removing a unnecessary assert, and add support of passing string attribute from ONNX node attribute to python functoin kwargs (mainly for passing debug info from graph to python for now). commit 5197db19802a39e47d19ac829cd08a94bacbdfbb Author: Sheil Kumar <[email protected]> Date: Wed Feb 21 15:45:44 2024 -0800 Diable __cpuid call for ARM64EC (#19592) Diable __cpuid call for ARM64EC Co-authored-by: Sheil Kumar <[email protected]> commit 38c34323939bac03b9648b2e59dbbe8de0bd7092 Author: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed Feb 21 13:58:53 2024 -0800 Bump ip from 1.1.8 to 1.1.9 in /js/react_native (#19582) Bumps [ip](https://github.com/indutny/node-ip) from 1.1.8 to 1.1.9. <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/indutny/node-ip/commit/1ecbf2fd8c0cc85e44c3b587d2de641f50dc0217"><code>1ecbf2f</code></a> 1.1.9</li> <li><a href="https://github.com/indutny/node-ip/commit/6a3ada9b471b09d5f0f5be264911ab564bf67894"><code>6a3ada9</code></a> lib: fixed CVE-2023-42282 and added unit test</li> <li>See full diff in <a href="https://github.com/indutny/node-ip/compare/v1.1.8...v1.1.9">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) Dependabot will merge this PR once CI passes on it, as requested by @fs-eire. [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/microsoft/onnxruntime/network/alerts). </details> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> commit ebd220b0730f9898aaa0275ef0d8195ce70057d0 Author: Matttttt <[email protected]> Date: Wed Feb 21 21:38:18 2024 +0000 Misspelling in README.md (#19433) Fixed a misspelling. commit 3afb38cfb7d4263f262dea33bcfa16d35c67fede Author: Tianlei Wu <[email protected]> Date: Wed Feb 21 12:46:16 2024 -0800 [CUDA] Add use_tf32 cuda provider option (for FP32 Conv) (#19426) Follow up of https://github.com/microsoft/onnxruntime/pull/19357 to apply the use_tf32 option on fp32 cuDNN convolution. When use_tf32 = 0, we will disable TF32 in cuDNN convolution for FP32 inputs. https://docs.nvidia.com/deeplearning/cudnn/api/cudnn-graph-library.html#cudnnmathtype-t **CUDNN_FMA_MATH** - Restricted to only kernels that use FMA instructions. - On pre-NVIDIA A100 GPU devices, CUDNN_DEFAULT_MATH and CUDNN_FMA_MATH have the same behavior: Tensor Core kernels will not be selected. - With NVIDIA Ampere architecture and CUDA toolkit 11, CUDNN_DEFAULT_MATH permits TF32 Tensor Core operation and CUDNN_FMA_MATH does not. - The TF32 behavior for CUDNN_DEFAULT_MATH and the other Tensor Core math types can be explicitly disabled by the environment variable NVIDIA_TF32_OVERRIDE=0. commit e5ce81ae847d0b347a3dfe95abfc9e407e2f0469 Author: Adam Pocock <[email protected]> Date: Wed Feb 21 15:24:41 2024 -0500 [java] Adding ML program flag for CoreML (#19551) Adds the new CoreML enum flags to enable ML Program support in Java. Adds support for #19347 to the Java API. commit 57d6819212464f49b30db047528be0f409dadc67 Author: Xu Xing <[email protected]> Date: Thu Feb 22 00:08:47 2024 +0800 [js/web] Fix fused-conv is not included in npm test (#19581) BUG: https://github.com/microsoft/onnxruntime/issues/18855 <!-- Describe your changes. --> <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit 58f4921686bf0a5b0442fb6df92d1b1972a118cc Author: Yulong Wang <[email protected]> Date: Wed Feb 21 00:31:06 2024 -0800 [js] changes to allow Float16Array if any polyfill is available (#19305) This change adds only necessary code to enable ort-web works with any Float16Array polyfill. Unlike #19302, in this PR, ort-web does not include any specific polyfill; instead, it's user's choice for how to use a polyfill. ORT-web uses Float16Array if it's available; otherwise, fallback to use Uint16Array. ```js // case 1: user does not use polyfill: import * as ort from 'onnxruntime-web'; const myF16Data = new Uint16Array(...); // need to use Uint16Array const myF16tensor = new ort.Tensor('float16', myF16Data, dims); ``` ```js // case 2: user use polyfill: import * as ort from 'onnxruntime-web'; import { Float16Array, isFloat16Array, isTypedArray, getFloat16, setFloat16, f16round, } from "@petamoriken/float16"; globalThis.Float16Array = Float16Array; // ort-web will pick the global Float16Array const myF16Data = new Float16Array(...); // Use the polyfilled Float16Array type const myF16tensor = new ort.Tensor('float16', myF16Data, dims); ``` commit 8092a89688f92dee83d1d0111acaa1e1d2dfdb85 Author: satyajandhyala <[email protected]> Date: Tue Feb 20 21:18:54 2024 -0800 Changed command line argpasrse to process '--symmetric [True|False]'. (#19577) <!-- Describe your changes. --> Accept the command line option --symmetric and its optional value correctly. If the optional value matches uncased to 'True' then set symmetric to True else set symmetric to False. Asymmetric quantization will generate zero_point input. ``` usage: matmul_4bits_quantizer.py [-h] --input_model INPUT_MODEL --output_model OUTPUT_MODEL [--block_size BLOCK_SIZE] [--symmetric [{True,False}]] [--accuracy_level ACCURACY_LEVEL] [-v] [--nodes_to_exclude NODES_TO_EXCLUDE [NODES_TO_EXCLUDE ...]] ``` <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit 124bde985ae883566c44f5cd84d351612006100c Author: Baiju Meswani <[email protected]> Date: Tue Feb 20 19:20:42 2024 -0800 Bring QAT POC back to a functional state (#19290) commit 6226c5f62f3d16b9702d5c40993ee9bf1cbd119c Author: PeixuanZuo <[email protected]> Date: Wed Feb 21 11:08:48 2024 +0800 [ROCm] Add SkipGroupNorm for ROCm EP (#19303) Add SkipGroupNorm for ROCm EP. --------- Co-authored-by: Peixuan Zuo <[email protected]@orttrainingdev7.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net> commit 8fadc6c913bc30edff2e89756da515b9bd75d256 Author: zhijiang <[email protected]> Date: Wed Feb 21 10:41:42 2024 +0800 Zhijxu/cleanup cached tensors when oom (#19306) in pytorch, when oom happens at bp, user could decrease the batch size and rerun it without restarting the process. while in ORT, the intermediate tensors are kept even OOM, so decrease batch size still fail. this is torch run, we can see after oom failure, torch will release tensor before next step  this is from ort, we can see ort not release its tensors after OOM failure.  ort with the PR, we can see memory is released, **the 4GB memory is not own by ort, and will be released by torch at the end**.  commit 0c4421cb7867434e1e08b4274f16f6c2f14cb4ce Author: Markus Tavenrath <[email protected]> Date: Wed Feb 21 03:39:43 2024 +0100 Fix compile warnings (as errors) for functions which miss returning required return value (#19079) Added dummy return values to functions which specify a return value, but do not return an value value. Fix compiler errors with 'warnings as errors' enabled. commit 45e20bf7810689ecf385957c34434c6d2456e32b Author: Scott McKay <[email protected]> Date: Wed Feb 21 12:38:37 2024 +1000 Use build.py to build in py-win-gpu.yml so parallelization parameters are set (#19578) <!-- Describe your changes. --> build.py sets a few parallelization parameters when building. Using msbuild directly lacks those. https://github.com/microsoft/onnxruntime/blob/7a5860e4909387448cb51351d3af50933238ba10/tools/ci_build/build.py#L1665-L1669 Changed to use build.py. If there's a concern with that we _could_ set the parameters in the yaml, but that will be uglier due to duplicating logic in multiple places. <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit 6e04e36e3faf2d8115c0962c85b86a6a8b48ac5b Author: Yulong Wang <[email protected]> Date: Tue Feb 20 17:33:37 2024 -0800 [js/common] upgrade tsc in common from 4.9.5 to 5.2.2 (#19317) upgrade tsc in common from 4.9.5 to 5.2.2 commit 70567a4b3a8bc74fb0f1a9ed9ea5a5be6b99b378 Author: Yulong Wang <[email protected]> Date: Tue Feb 20 17:33:21 2024 -0800 [js/web] use ApiTensor insteadof onnxjs Tensor in TensorResultValidator (#19358) use ApiTensor insteadof onnxjs Tensor in TensorResultValidator. Make test runner less depend on onnxjs classes. commit 3fe2c137ee5923ee369062453d528fe0e33bf4bc Author: Yulong Wang <[email protected]> Date: Tue Feb 20 17:23:01 2024 -0800 [js] small fix to workaround formatter (#19400) Rename shader variable names to snake_case naming and also to avoid formatter behaving inconsistently in win/linux. commit 97ff17c2cbb6ee6f27c052e9c4302c70a41af485 Author: Yulong Wang <[email protected]> Date: Tue Feb 20 17:02:11 2024 -0800 update script of run CI for external PRs to add "Big Models" (#19576) update script of run CI for external PRs to add "Big Models" commit 7a5860e4909387448cb51351d3af50933238ba10 Author: Jake Mathern <[email protected]> Date: Tue Feb 20 13:41:40 2024 -0800 Fix cmake function duplicate lib (#19547) Fixes cmake function definition in winml.cmake to copy link flags. XFGCheck errors in WindowsAI because this function does not transfer linker flags commit ec9c8cbdc9686ccda6553674d6aab61cfd245cf0 Author: Scott McKay <[email protected]> Date: Wed Feb 21 07:40:35 2024 +1000 Use xcode parallel build flags to speed up iOS CI that is timing out (#19570) <!-- Describe your changes. --> Provide specific xcodebuild flags instead of depending on cmake to do the right thing. This built in just over an hour with a ccache miss. Previous CIs with a ccache miss were timing out after 150 minutes. <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit 3c49aacd5667b320a4e02626a176098f7423d7c0 Author: Sheil Kumar <[email protected]> Date: Tue Feb 20 13:13:40 2024 -0800 Disable __cpuid check on arm64 builds as intrinsic is not available (#19574) Disable __cpuid check on arm64 builds as intrinsic is not available Motivation Breaking the arm64 build. Co-authored-by: Sheil Kumar <[email protected]> commit 1b48054e1b7991ccef664fbedd659ec95d0e7ca7 Author: Jiajie Hu <[email protected]> Date: Wed Feb 21 01:24:34 2024 +0800 [js/webgpu] Create Split indices helpers by rank, not by shape (#19554) This is required to make shape uniforms really work. The bug was unveiled in a model with multiple Split nodes. The later nodes would try to reuse a previous pipeline cache, while the old shapes were hardcoded as constants in cache. commit 7efb0dbe12cf8736d97dcc3b8f41eb96c5c34719 Author: Xavier Dupré <[email protected]> Date: Tue Feb 20 17:22:44 2024 +0100 add option DefaultTensorType to specify the default tensor type to quantize (#19455) The current quantization tool relies on shape inference to provide the type of every intermediate tensor, then the tool knows which type it must dequantize into (float32, float16). However, this information is not available if shape inference fails. That happens every time the model include an operator from a custom domain such as com.microsoft. This PR introduces an extra option `DefaultTensorType` as a fall back when the quantizer cannot find the type it needs. This fixes issue #19409. commit e832562d70685ffeaab7e3bfa20cd5e9aec916a3 Author: Markus Tavenrath <[email protected]> Date: Tue Feb 20 09:06:03 2024 +0100 Fix invalid usage of designated initializers. (#19497) I've replaces all ocurances of C++ designated initializers in the CUDA NHWC Tests by member initialization. C++ designated initializers have been introduced in C++ 20. Yet GCC accepts designated initializers in C++17 which is the standard used to compile onnxruntime. Yet MSVC is standard conform and accepts this feature starting C++20 which leads to compile failures on Windows without this change. commit f3e3b531fe4c0d33d70928b101fb5d445e4174a8 Author: PeixuanZuo <[email protected]> Date: Tue Feb 20 10:31:39 2024 +0800 Update build directory clean up stage for python package pipeline (#19553) Fix to make clean up stage take effect. If the `SourceFolder ` is empty, the task deletes files from the root folder of the repository as though [$(Build.SourcesDirectory)](https://learn.microsoft.com/en-us/azure/devops/pipelines/build/variables) was specified. commit b55260d076da309f3a4634eb5248a0eb541e8ca0 Author: pengwa <[email protected]> Date: Mon Feb 19 10:21:19 2024 +0800 Minor fix for cmake (#19552) When build on Linux, get a warning saying " CMake Warning at CMakeLists.txt:1603 (message): MPI and NCCL disabled on Win build. " This message is not correct. So have such a fix to avoid any misunderstanding from users.  <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit dfeda9019cfed2d6df5bcacc54269c7de481bdee Author: satyajandhyala <[email protected]> Date: Sat Feb 17 09:19:17 2024 -0800 [JS/WebGPU] Add MatMulNBits (#19446) Add MatMulNBits to support MatMul using 4-bit quantized weights <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit 06269a3952fb1759d93235b9d66f9beb10ae8663 Author: Yulong Wang <[email protected]> Date: Fri Feb 16 18:28:27 2024 -0800 [js/webgpu] allow uint8 tensors for webgpu (#19545) allow uint8 tensors for webgpu commit 4874a41008138ecc1f26e9cd17e5d9d7febb29aa Author: Adrian Lizarraga <[email protected]> Date: Fri Feb 16 16:59:43 2024 -0800 [QNN EP] Update default QNN SDK to 2.19.2.240210 (#19546) Updates the default QNN SDK version to 2.19.2.240210. Build and test the latest version of QNN SDK in our pipelines. commit 44d8ad93b20efdba921ca80f23485c084b5174d0 Author: kunal-vaishnavi <[email protected]> Date: Fri Feb 16 15:21:43 2024 -0800 Whisper Timestamps and Temperature (#19509) This PR updates exporting and running the Whisper model with beam search by adding the following. - Adds temperature as a graph input to the exported model - Fixes the token ids by adding them as attributes to `WhisperBeamSearch` - Fixes the timestamps test cases so they pass now - Fixes a bug with invoking `torch.onnx.export` - Cleans up the Whisper scripts and groups the arguments in `convert_to_onnx.py` - Adds a `requirements.txt` file to specify package dependencies - Adds `whisper-large-v3` to list of pretrained models - Fixes a bug with missing cross-attention KV cache inputs in the decoder subgraph - This is a follow-up to [this PR](https://github.com/microsoft/onnxruntime/pull/19188). - The incorrect token ids in the timestamps processor were first noticed during [this PR review](https://github.com/microsoft/onnxruntime/pull/17500#discussion_r1333520007). When they were originally added in [this PR](https://github.com/microsoft/onnxruntime/pull/15853), the offsets were previously constant across the Whisper model sizes. When comparing the new `whisper-large-v3` variant, the English-only variants (e.g. `whisper-tiny.en`), and the original variants (e.g. `whisper-tiny`), both the values and the offsets differ. Therefore, it is easier to set the token ids as attributes to `WhisperBeamSearch` when exporting to ensure the right values are used in the timestamps processor. - The Hugging Face API for returning timestamps and the expected outputs from the PyTorch model have both changed. - The fix for `torch.onnx.export` is a follow-up to [this PR review](https://github.com/microsoft/onnxruntime/pull/17179#issuecomment-1683001470). - The argument grouping is a follow-up to [this PR review](https://github.com/microsoft/onnxruntime/pull/17500#discussion_r1333521721). - Specific package versions are needed to run the Whisper scripts and the `requirements.txt` file ensures that these versions are installed. - The `whisper-large-v3` variant is released and should be in the list of official pretrained models. - After the changes from [this PR](https://github.com/microsoft/onnxruntime/pull/17316), the exported model is not loading in an ORT inference session because the cross-attention KV cache inputs are missing in the decoder subgraph. commit 1dce5e17321d50bf345022b525a937933473415a Author: Tianlei Wu <[email protected]> Date: Fri Feb 16 14:41:11 2024 -0800 Disable TF32 in Linux_Test stage of Linux GPU CI Pipeline (#19541) Some test thresholds that previously worked in T4 GPU does not work anymore. The reason is current pipeline uses A10, and TF32 is enabled by default. Disable TF32 in Linux GPU CI Pipeline in testing to avoid such random test failure. Linux Test has random failure at tests: ProviderOptionsTest > testCUDAOptions() FAILED org.opentest4j.AssertionFailedError: array contents differ at index [446], expected: <0.0419757> but was: <0.041948937> at app//org.junit.jupiter.api.AssertionFailureBuilder.build(AssertionFailureBuilder.java:151) at app//org.junit.jupiter.api.AssertionFailureBuilder.buildAndThrow(AssertionFailureBuilder.java:132) at app//org.junit.jupiter.api.AssertArrayEquals.failArraysNotEqual(AssertArrayEquals.java:440) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:290) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:123) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:119) at app//org.junit.jupiter.api.Assertions.assertArrayEquals(Assertions.java:1360) at app//ai.onnxruntime.providers.ProviderOptionsTest.runProvider(ProviderOptionsTest.java:99) at app//ai.onnxruntime.providers.ProviderOptionsTest.testCUDAOptions(ProviderOptionsTest.java:43) org.opentest4j.AssertionFailedError: array contents differ at index [6], expected: <0.0225981> but was: <0.022587791> at app//org.junit.jupiter.api.AssertionFailureBuilder.build(AssertionFailureBuilder.java:151) at app//org.junit.jupiter.api.AssertionFailureBuilder.buildAndThrow(AssertionFailureBuilder.java:132) at app//org.junit.jupiter.api.AssertArrayEquals.failArraysNotEqual(AssertArrayEquals.java:440) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:290) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:123) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:119) at app//org.junit.jupiter.api.Assertions.assertArrayEquals(Assertions.java:1360) at app//ai.onnxruntime.InferenceTest.runProvider(InferenceTest.java:676) at app//ai.onnxruntime.InferenceTest.testCUDA(InferenceTest.java:615) commit b84712151c06f0f59359916be572f71bd36721a4 Author: Adrian Lizarraga <[email protected]> Date: Fri Feb 16 14:36:05 2024 -0800 QNN EP: Fuse DQ -> Q sequences into a QNN Convert op (#19511) Fuses DQ -> Q sequences into a QNN Convert operator if: - Converting from one qtype to another. Ex: Dequantize(uint8 to float) -> Quantize(float to uint16) - The DQ and Q operators are not part of another node unit (i.e., standalone) - The Q operator is the only consumer for the DQ operator. Allows faster execution of QDQ models with mixed activation types by leveraging the QNN Convert operator, which converts between quantization types. For certain models, this results in inference latency speed-ups of up to 2x (depends on the number of DQ -> Q sequences). Original: ``` u8 ----> DQ ---> Q ---u16--> Add ---u16--> ^ | u16 --------------------------+ ``` After fusing DQ -> Q: ``` u8 ----> Convert ---u16--> Add ---u16--> ^ | u16 ------------------------+ ``` commit ef0b71308c0e2395d3ea63e627515ff8e624ad45 Author: Sheil Kumar <[email protected]> Date: Fri Feb 16 05:34:55 2024 -0800 Optimize KahnsTopologicalSort and PriorityNodeCompare (#19475) **Description** 1) During SessionInitialization, KahnsTopologicalSort is a major cause of perf degradation. The main cause of slow down is that the TopologicalSort needs to keep track of nodes to visit in order, and reorder them based on priority (as informed by a comparator). The existing implementation uses a priority_queue that is backed by a std::vector container. However, vectors are not good for insertion and reordering. The appropriate data type for this operation is a linked list. However, linked lists like std::list are not usable as a container for std::priority_queue. This is because std::priority_queue requires random access, which linked lists do not have. However, for this simple implementation, we can leverage a std::list under the hood and perform insertions manually using std::upper_bound. This drastically reduces the time taken by the method, which currently instead causes numerous recopies and a lot of movement inside the graph nodes to visit list. 2) In the comparator, I hide forward and backward attribute checking behind the #ifdef ENABLE_TRAINING macro, as I believe it should only be valid in the training scenario. 3) In noopelimination transformer, I prevent the creation of Initializer (which unpacks tensorproto data) in every node and only create initializers when Add/Sub/Mul/Div op nodes are detected. **Motivation and Context** Session creation time of many models is quite slow. --------- Co-authored-by: Sheil Kumar <[email protected]> commit 4bfa69def85476b33ccfaf68cf070f3fb65d39f7 Author: Tianlei Wu <[email protected]> Date: Thu Feb 15 20:22:36 2024 -0800 Speed Up DecoderMaskedSelfAttentionTest (#19531) The unit tests take 19 minutes to run (in debug build) because of too many combinations. I reduce the combinations and remain good test coverage. After the change, the test can finish in 51 seconds. Before: [----------] 2 tests from DecoderMaskedSelfAttentionTest [ RUN ] DecoderMaskedSelfAttentionTest.Test_fp32 [ OK ] DecoderMaskedSelfAttentionTest.Test_fp32 (394086 ms) [ RUN ] DecoderMaskedSelfAttentionTest.Test_fp16 [ OK ] DecoderMaskedSelfAttentionTest.Test_fp16 (747035 ms) [----------] 2 tests from DecoderMaskedSelfAttentionTest (1141122 ms total) After: [----------] 2 tests from DecoderMaskedSelfAttentionTest [ RUN ] DecoderMaskedSelfAttentionTest.Test_fp32 [ OK ] DecoderMaskedSelfAttentionTest.Test_fp32 (21057 ms) [ RUN ] DecoderMaskedSelfAttentionTest.Test_fp16 [ OK ] DecoderMaskedSelfAttentionTest.Test_fp16 (30653 ms) [----------] 2 tests from DecoderMaskedSelfAttentionTest (51710 ms total) Reduce test time, and improve build pipeline efficiency. commit d0061d6fb15d40eeb35fa1b40a414cd231d51db9 Author: sophies927 <[email protected]> Date: Thu Feb 15 17:03:11 2024 -0800 Update stale.yml to use old version as a bug fix (#19532) Changed the actions/stale version back to v8 from v9. There is a well-documented issue w/ the new actions/stale version (v9.0.0) that causes the following error: "Error delete _state: [403] Resource not accessible by integration". See https://github.com/actions/stale/issues/1133 for more context. This issue is preventing the stale bot from labeling stale issues since the version was updated b/c the action can no longer access the cache and cannot apply labels to all issues due to GH API rate limiting. There are two potential fixes if we continue to use the new version: (1) run the action on all PRs/issues to avoid using the cache or (2) give write access to the endpoints listed in https://docs.github.com/en/rest/authentication/permissions-required-for-fine-grained-personal-access-tokens?apiVersion=2022-11-28#repository-permissions-for-actions. Neither of these options is preferable, so I am going to wait until the bug is fixed. Note: The old version (v8.0.0) uses Node 16, which will be deprecated in Spring 2024, instead of Node 20, so we should keep an eye on [this issue](https://github.com/actions/stale/issues/1133) to see when they make the fix and we can switch back to the new version. commit d63c664ca0021fbac31cee57ff1eaa8bce3d1903 Author: rui-ren <[email protected]> Date: Thu Feb 15 00:02:08 2024 -0800 fix rocm ci pipeline (#19525) <!-- Describe your changes. --> ROCm CI pipeline issue. ``` Downloading and preparing dataset wikitext/wikitext-2-raw-v1 (download: 4.50 MiB, generated: 12.91 MiB, post-processed: Unknown size, total: 17.41 MiB) to /home/onnxruntimedev/.cache/huggingface/datasets/wikitext/wikitext-2-raw-v1/1.0.0/aa5e094000ec7afeb74c3be92c88313cd6f132d564c7effd961c10fd47c76f20... main() File "/stage/huggingface-transformers/examples/pytorch/language-modeling/run_mlm.py", line 242, in main datasets = load_dataset(data_args.dataset_name, data_args.dataset_config_name, cache_dir=model_args.cache_dir) File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/load.py", line 856, in load_dataset builder_instance.download_and_prepare( File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/builder.py", line 583, in download_and_prepare self._download_and_prepare( File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/builder.py", line 639, in _download_and_prepare split_generators = self._split_generators(dl_manager, **split_generators_kwargs) File "/home/onnxruntimedev/.cache/huggingface/modules/datasets_modules/datasets/wikitext/aa5e094000ec7afeb74c3be92c88313cd6f132d564c7effd961c10fd47c76f20/wikitext.py", line 138, in _split_generators data_file = dl_manager.download_and_extract(self.config.data_url) File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/utils/download_manager.py", line 289, in download_and_extract return self.extract(self.download(url_or_urls)) File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/utils/download_manager.py", line 197, in download downloaded_path_or_paths = map_nested( File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 195, in map_nested return function(data_struct) File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/utils/download_manager.py", line 220, in _download return cached_path(url_or_filename, download_config=download_config) File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 281, in cached_path output_path = get_from_cache( File "/opt/miniconda/envs/rocm-ci/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 634, in get_from_cache raise ConnectionError("Couldn't reach {}".format(url)) ConnectionError: Couldn't reach https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-2-raw-v1.zip ``` <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Update the `datasets` pipeline to latest version `2.17.0`. commit 660f39aca5d47888804163405c64ee67eec6eed5 Author: Changming Sun <[email protected]> Date: Wed Feb 14 18:35:56 2024 -0800 Perf improvement for Intel MTL CPUs (#19524) See the comments inside of the changed files for more detailed information. The file onnxruntime/core/platform/windows/hardware_core_enumerator.cc and onnxruntime/core/platform/windows/hardware_core_enumerator.h were copied from WinML source folder in this repo, with minor coding style changes. I had an offline discussion with Sheil. We agree that given the lack of a future proof solution, we may check-in this temp fix first, and rework it later. I will have a meeting with @ivberg for discussing the issue deeply, and seeking for a long term solution. Thanks for offering help, @ivberg ! With this change, we will see about 2x perf improvement on some Intel CPUs. commit 775c774f4bdcdd57c107030e1341809b4b5ba35e Author: jingyanwangms <[email protected]> Date: Wed Feb 14 18:07:51 2024 -0800 Add BF16 to Sqrt (#19363) Sqrt does not have BF16 support yet. Adding that with this PR <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit a67e6925468effd1897c2f541821d32a2860a037 Author: rui-ren <[email protected]> Date: Wed Feb 14 15:07:56 2024 -0800 add GatherSliceToSplitFusion and Unittest (#19218) in multi-query attention ``` batch_size, seq_length, three_times_hidden_size = fused_qkv.shape fused_qkv = fused_qkv.view(batch_size, seq_length, self.num_heads + 2, self.head_dim) return fused_qkv[..., :-2, :], fused_qkv[..., [-2], :], fused_qkv[..., [-1], :] ``` which can be optimized to ``` batch_size, seq_length, three_times_hidden_size = fused_qkv.shape fused_qkv = fused_qkv.view(batch_size, seq_length, self.num_heads + 2, self.head_dim) (query, key, value) = fused_qkv.split([self.num_heads, 1, 1], dim=2) return query, key, value ``` this optimization can be validated from nsight profiling and perf benchmarking. <img width="545" alt="image" src="https://github.com/microsoft/onnxruntime/assets/15321482/cefcd061-4a01-4aaf-a008-8e265f7f63e9"> As such, This PR is to Optimize the `Gather/Gather/Slice` Ops to `Split` Kernel. <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> As 2 `Gather` and 1 `Slice` Kernels are time consuming for backward prop, it would be efficient to use 1 `Split` Kernel - Before Fusion <img width="419" alt="image" src="https://github.com/microsoft/onnxruntime/assets/15321482/17410319-57ea-4176-afd4-1efdcd3fdbae"> - After Fusion <img width="424" alt="image" src="https://github.com/microsoft/onnxruntime/assets/15321482/f1ee1582-96d4-45f4-8778-49d1f3fd370a"> After the optimization, there will have **~7%** perf gain. > The `Transpose` Kernel can be fused too, will update it in next PR. However, after testing Transponse Ops fusion on Falcon model, there is no perf gain. Will not create a new PR. --------- Co-authored-by: ruiren <[email protected]> commit 4e5119760d8cf1c2e751f4264f23ab3e5a25aebc Author: Scott McKay <[email protected]> Date: Thu Feb 15 08:46:03 2024 +1000 Add initial support for CoreML ML Program to the CoreML EP. (#19347) <!-- Describe your changes. --> Adds infrastructure to create an ML Package containing the Model using ML Program. Updated coremltools files to v7.1 to bring in new protobuf definitions along with the tools to write the weight.bin file and create an ML Package correctly. Enables building a CoreML Model on all platforms which means all the operator builder code can be debugged anywhere. Execution of the generated CoreML model is obviously limited to Apple platforms. The Conv operator builder has been updated to be able to generate an ML Program Operation. <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> NeuralNetwork is no longer being developed and ML Program is the replacement going forward. commit 944d8f85135e0caf836ae7f6ad1bfac8dcba2f21 Author: Baiju Meswani <[email protected]> Date: Wed Feb 14 12:49:34 2024 -0800 Update the default std flag used during torch extensions compilation (#19516) commit 3b03b2e046092522e84f0b9aebac1b394a3e4b13 Author: Prathik Rao <[email protected]> Date: Wed Feb 14 11:19:33 2024 -0800 Upgrade default ORTModule opset from 15 to 17 (#19315) <!-- Describe your changes. --> This PR upgrades ORTModule's default opset from 15 to 17. Opset 17 is the final opset supported by torchscript exporter (https://github.com/pytorch/pytorch/pull/107829) <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Engineering excellence contribution for ORT Training DRI. --------- Co-authored-by: Prathik Rao <[email protected]@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net> commit 1508c2ee39023274417417b290303cf058ceedd6 Author: Sheil Kumar <[email protected]> Date: Wed Feb 14 10:31:03 2024 -0800 Restrict L2 Cache Core check to Intel devices (#19483) Limit SoC core detection via 2 level cache core logic to Intel and Hybrid processors. The following code was added to add support for a new class of CPU cores present in Intel’s next generation Intel Core Ultra mobile processors. This code is essential to avoid placing threads on low performing SoC cores that don’t have L3 cache. SoC cores are meant to specialize in system bringup and help improve responsiveness and power usage, in other words they are not meant to run compute heavy AI workloads. In order to avoid broad exposure of this logic, it is currently designed to be restricted to Intel platforms that have hybrid enabled. --------- Co-authored-by: Sheil Kumar <[email protected]> commit fbff99a432caef529f90d20137fa5aee33f38fcf Author: Tianlei Wu <[email protected]> Date: Wed Feb 14 10:08:46 2024 -0800 Change Jave Test Threshold (#19508) Increase the threshold to 1e-5 to avoid test failed in CUDA when difference is slightly larger than 1e-6. May because TF32 is used in those CUDA tests. https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=1291322&view=logs&j=f2f63060-d9d6-52d0-adee-b97db5a9ab91&t=28e21ca6-87a4-5e1e-0441-72b5e8326f2d ProviderOptionsTest > testCUDAOptions() FAILED org.opentest4j.AssertionFailedError: array contents differ at index [103], expected: <0.0102678> but was: <0.010266338> at app//org.junit.jupiter.api.AssertionFailureBuilder.build(AssertionFailureBuilder.java:151) at app//org.junit.jupiter.api.AssertionFailureBuilder.buildAndThrow(AssertionFailureBuilder.java:132) at app//org.junit.jupiter.api.AssertArrayEquals.failArraysNotEqual(AssertArrayEquals.java:440) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:290) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:123) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:119) at app//org.junit.jupiter.api.Assertions.assertArrayEquals(Assertions.java:1360) at app//ai.onnxruntime.providers.ProviderOptionsTest.runProvider(ProviderOptionsTest.java:99) at app//ai.onnxruntime.providers.ProviderOptionsTest.testCUDAOptions(ProviderOptionsTest.java:43) https://dev.azure.com/onnxruntime/onnxruntime/_build/results?buildId=1293200&view=logs&jobId=f2f63060-d9d6-52d0-adee-b97db5a9ab91&j=f2f63060-d9d6-52d0-adee-b97db5a9ab91&t=28e21ca6-87a4-5e1e-0441-72b5e8326f2d InferenceTest > testCUDA() FAILED org.opentest4j.AssertionFailedError: array contents differ at index [103], expected: <0.0102678> but was: <0.010266337> at app//org.junit.jupiter.api.AssertionFailureBuilder.build(AssertionFailureBuilder.java:151) at app//org.junit.jupiter.api.AssertionFailureBuilder.buildAndThrow(AssertionFailureBuilder.java:132) at app//org.junit.jupiter.api.AssertArrayEquals.failArraysNotEqual(AssertArrayEquals.java:440) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:290) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:123) at app//org.junit.jupiter.api.AssertArrayEquals.assertArrayEquals(AssertArrayEquals.java:119) at app//org.junit.jupiter.api.Assertions.assertArrayEquals(Assertions.java:1360) at app//ai.onnxruntime.InferenceTest.runProvider(InferenceTest.java:676) at app//ai.onnxruntime.InferenceTest.testCUDA(InferenceTest.java:615) commit f53d2c2465d81cdb4e14c7241eab327184192c88 Author: Ye Wang <[email protected]> Date: Wed Feb 14 18:08:11 2024 +0000 Phi2 script fixes (#19500) <!-- Describe your changes. --> This PR is intended to support Phi2 passes in Olive. Merge it before https://github.com/microsoft/Olive/pull/938 <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> commit 544407038d96521617fe633cf97153d3e75561f5 Author: Prathik Rao <[email protected]> Date: Wed Feb 14 10:05:16 2024 -0800 SimplifiedLayerNormalization Fusion BFloat16 support for Llama-v2 on A100 (#18898) <!-- Describe your changes. --> Adds bfloat16 as a supported dtype for SimplifiedLayerNormFusion which will provide speedup for Llama-v2 on A100 using bfloat16 numerical format. _layernorm_optimized_training.onnx exported in bfloat16 vs. float16:_  ```python from torch import nn from onnxruntime.training.ortmodule import ORTModule, DebugOptions, LogLevel import torch dtype = torch.bfloat16 class Net(nn.Module): def __init__(self): super().__init__() self.fc = nn.Linear(784, 10, dtype=dtype) self.layernorm = nn.LayerNorm([784], dtype=dtype) def forward(self, x): x = x.view(x.shape[0], -1) x = self.layernorm(x) x = self.fc(x) return x model = Net() model = ORTModule(model, DebugOptions(save_onnx=True, onnx_prefix='layernorm', log_level=LogLevel.INFO)) model.to("cuda") images = torch.randn((8, 28, 28), dtype=dtype).to("cuda") output = model(images) ``` <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> ONNX Runtime integration with Llama-v2 family of LLMs. --------- Co-authored-by: Prathik Rao <[email protected]@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net> commit 18f76bd25ded7a6ec4b8675e1c2813753fec5343 Author: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue Feb 13 15:59:24 2024 -0800 Bump gradle/wrapper-validation-action from 1 to 2 (#19412) Bumps [gradle/wrapper-validation-action](https://github.com/gradle/wrapper-validation-action) from 1 to 2. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/gradle/wrapper-validation-action/releases">gradle/wrapper-validation-action's releases</a>.</em></p> <blockquote> <h2>v2.0.0</h2> <h2>What's Changed</h2> <p>The version of the Node.js runtime was updated to 20, and the majority of dependencies were updated to the latest versions. From now on, the <code>wrapper-validation-action</code> will require a Node.js 20 runtime environment.</p> <p>There are no functional changes in this release. This release is tagged with the <code>v2</code> version label.</p> <ul> <li>[NEW] Update Node.js runtime to version 20 (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/170">#170</a>)</li> </ul> <h2>v2.0.0-rc.1</h2> <p>This is a release candidate for <code>v2.0.0</code>. It is also available under the <code>v2</code> version label.</p> <h2>What's Changed</h2> <p>The version of the Node.js runtime was updated to 20, and the majority of dependencies were updated to the latest versions. From now on, the <code>wrapper-validation-action</code> will require a Node.js 20 runtime environment.</p> <p>There are no functional changes in this release.</p> <ul> <li>[NEW] Update Node.js runtime to version 20 (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/170">#170</a>)</li> </ul> <h2>v1.1.0</h2> <p>The action now adds the path of the failed wrapper Jar as a <code>failed-wrapper</code> Step output parameter. This makes the value available for reporting in later Steps/Jobs.</p> <h2>v1.0.6</h2> <h1>Gradle Wrapper Validation</h1> <ul> <li>Security vulnerability: <a href="https://github.com/gradle/wrapper-validation-action/commit/959bfac6da73353b14c33ab55d44b04f3cd95525">Bump json5 from 1.0.1 to 1.0.2</a></li> <li>Security vulnerability: <a href="https://github.com/gradle/wrapper-validation-action/commit/ffa46e5c8750eca4459bd01191fa54c8b10f778f">Bump qs from 6.10.1 to 6.11.0</a></li> </ul> <h2>v1.0.5</h2> <h1>Gradle Wrapper Validation</h1> <ul> <li>Update dependencies for Node 16 (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/53">#53</a>)</li> <li>Update dependencies with security vulnerabilities (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/67">#67</a>)</li> <li>Update various other dependencies (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/45">#45</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/47">#47</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/48">#48</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/54">#54</a>)</li> </ul> <h2>v1.0.4</h2> <h1>Gradle Wrapper Validation</h1> <ul> <li>Retry connections to the server on failure (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/39">#39</a>)</li> <li>Update dependencies (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/38">#38</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/37">#37</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/36">#36</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/34">#34</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/31">#31</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/30">#30</a>, <a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/29">#29</a>)</li> </ul> <h2>v1.0.3</h2> <h1>Gradle Wrapper Validation</h1> <p>Update <code>minimist</code> version to <code>1.2.5</code></p> <h2>v1.0.2</h2> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/27152f6fa06a6b8062ef7195c795692e51fc2c81"><code>27152f6</code></a> Update to Node 20 (<a href="https://redirect.github.com/gradle/wrapper-validation-action/issues/170">#170</a>)</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/d8758a98d16d912adc6fe28c4eb7bee69eb481f1"><code>d8758a9</code></a> Build output</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/e916071cca19c1df0d7932e61a1029451b96d441"><code>e916071</code></a> Update NPM dependencies</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/d9359e465a2e9a25f4433bfd10ff6ceb34b3491c"><code>d9359e4</code></a> Add asdf config file</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/77d43de1708304ff0de210ad94a771ce3f4aef26"><code>77d43de</code></a> Update upload-artifact version</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/2f8436d9bbfed346d2fbe8ceaeae437b0c8c92e3"><code>2f8436d</code></a> Use setup-node@v4 instead of pinning to a revision</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/bfa0fe410a68922e64827497952f1dfcb1182db4"><code>bfa0fe4</code></a> Consistently use npm cache for workflows</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/8be8473276734e4bd055a8824238f73e1c1113b5"><code>8be8473</code></a> Update workflows and action to NodeJS 20</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/c8fad9e3f832df7a2cf7d83c755a79f4afa58c9e"><code>c8fad9e</code></a> Bump <code>@babel/traverse</code> from 7.14.7 to 7.23.2</li> <li><a href="https://github.com/gradle/wrapper-validation-action/commit/342dbebe7272035434f9baccc29a816ec6dd2c7b"><code>342dbeb</code></a> Update README to use <code>actions/checkout@v4</code></li> <li>See full diff in <a href="https://github.com/gradle/wrapper-validation-action/compare/v1...v2">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> commit f048fb5b14f5495950fb984dc474c8930861e474 Author: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue Feb 13 15:59:15 2024 -0800 Bump nuget/setup-nuget from 1 to 2 (#19411) Bumps [nuget/setup-nuget](https://github.com/nuget/setup-nuget) from 1 to 2. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/nuget/setup-nuget/releases">nuget/setup-nuget's releases</a>.</em></p> <blockquote> <h2>v2.0.0</h2> <h2>What's Changed</h2> <ul> <li>build(deps): bump semver from 7.3.8 to 7.5.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/49">NuGet/setup-nuget#49</a></li> <li>build(deps-dev): bump word-wrap from 1.2.3 to 1.2.5 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/51">NuGet/setup-nuget#51</a></li> <li>build(deps-dev): bump <code>@babel/traverse</code> from 7.23.0 to 7.23.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/57">NuGet/setup-nuget#57</a></li> <li>Update to use Node.js 20 by <a href="https://github.com/frederikprijck"><code>@frederikprijck</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/59">NuGet/setup-nuget#59</a></li> <li>build(deps-dev): bump prettier from 2.8.7 to 3.0.3 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/60">NuGet/setup-nuget#60</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 18.18.0 to 20.8.9 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/62">NuGet/setup-nuget#62</a></li> <li>build(deps-dev): bump <code>@vercel/ncc</code> from 0.36.1 to 0.38.1 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/61">NuGet/setup-nuget#61</a></li> <li>build(deps-dev): bump eslint-plugin-jest from 27.4.0 to 27.6.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/64">NuGet/setup-nuget#64</a></li> <li>build(deps-dev): bump nock from 13.3.3 to 13.3.6 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/63">NuGet/setup-nuget#63</a></li> <li>build(deps-dev): bump eslint from 8.50.0 to 8.52.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/65">NuGet/setup-nuget#65</a></li> <li>build(deps-dev): bump <code>@typescript-eslint/parser</code> from 5.62.0 to 6.9.1 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/70">NuGet/setup-nuget#70</a></li> <li>build(deps-dev): bump eslint-plugin-github from 4.10.0 to 4.10.1 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/68">NuGet/setup-nuget#68</a></li> <li>build(deps-dev): bump <code>@types/jest</code> from 29.5.5 to 29.5.7 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/69">NuGet/setup-nuget#69</a></li> <li>build(deps-dev): bump eslint from 8.52.0 to 8.53.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/73">NuGet/setup-nuget#73</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.8.9 to 20.8.10 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/71">NuGet/setup-nuget#71</a></li> <li>build(deps-dev): bump nock from 13.3.6 to 13.3.8 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/72">NuGet/setup-nuget#72</a></li> <li>build(deps-dev): bump prettier from 3.0.3 to 3.1.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/74">NuGet/setup-nuget#74</a></li> <li>build(deps-dev): bump <code>@types/jest</code> from 29.5.7 to 29.5.8 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/76">NuGet/setup-nuget#76</a></li> <li>build(deps-dev): bump <code>@typescript-eslint/parser</code> from 6.9.1 to 6.10.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/77">NuGet/setup-nuget#77</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.8.10 to 20.9.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/75">NuGet/setup-nuget#75</a></li> <li>build(deps-dev): bump eslint from 8.53.0 to 8.54.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/80">NuGet/setup-nuget#80</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.9.0 to 20.9.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/79">NuGet/setup-nuget#79</a></li> <li>build(deps-dev): bump <code>@typescript-eslint/parser</code> from 6.10.0 to 6.12.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/81">NuGet/setup-nuget#81</a></li> <li>build(deps-dev): bump <code>@types/jest</code> from 29.5.8 to 29.5.10 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/83">NuGet/setup-nuget#83</a></li> <li>build(deps-dev): bump typescript from 5.2.2 to 5.3.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/82">NuGet/setup-nuget#82</a></li> <li>build(deps-dev): bump nock from 13.3.8 to 13.4.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/88">NuGet/setup-nuget#88</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.9.2 to 20.10.3 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/86">NuGet/setup-nuget#86</a></li> <li>build(deps-dev): bump eslint from 8.54.0 to 8.55.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/85">NuGet/setup-nuget#85</a></li> <li>build(deps-dev): bump <code>@typescript-eslint/parser</code> from 6.12.0 to 6.13.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/89">NuGet/setup-nuget#89</a></li> <li>build(deps-dev): bump <code>@types/jest</code> from 29.5.10 to 29.5.11 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/93">NuGet/setup-nuget#93</a></li> <li>build(deps-dev): bump prettier from 3.1.0 to 3.1.1 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/91">NuGet/setup-nuget#91</a></li> <li>build(deps-dev): bump typescript from 5.3.2 to 5.3.3 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/92">NuGet/setup-nuget#92</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.10.3 to 20.10.4 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/90">NuGet/setup-nuget#90</a></li> <li>build(deps-dev): bump eslint from 8.55.0 to 8.56.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/94">NuGet/setup-nuget#94</a></li> <li>build(deps-dev): bump <code>@typescript-eslint/parser</code> from 6.13.2 to 6.19.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/107">NuGet/setup-nuget#107</a></li> <li>build(deps-dev): bump eslint-plugin-jest from 27.6.0 to 27.6.3 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/106">NuGet/setup-nuget#106</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.10.4 to 20.11.5 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/110">NuGet/setup-nuget#110</a></li> <li>build(deps-dev): bump prettier from 3.1.1 to 3.2.4 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/109">NuGet/setup-nuget#109</a></li> <li>build(deps-dev): bump <code>@types/node</code> from 20.11.5 to 20.11.10 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/116">NuGet/setup-nuget#116</a></li> <li>build(deps-dev): bump nock from 13.4.0 to 13.5.1 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/115">NuGet/setup-nuget#115</a></li> <li>build(deps-dev): bump ts-jest from 29.1.1 to 29.1.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/113">NuGet/setup-nuget#113</a></li> <li>build(deps-dev): bump <code>@typescript-eslint/parser</code> from 6.19.0 to 6.20.0 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/117">NuGet/setup-nuget#117</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/frederikprijck"><code>@frederikprijck</code></a> made their first contribution in <a href="https://redirect.github.com/NuGet/setup-nuget/pull/59">NuGet/setup-nuget#59</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/NuGet/setup-nuget/compare/v1.2.0...v1.3.0">https://github.com/NuGet/setup-nuget/compare/v1.2.0...v1.3.0</a></p> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/NuGet/setup-nuget/commit/a21f25cd3998bf370fde17e3f1b4c12c175172f9"><code>a21f25c</code></a> Update dist for release (<a href="https://redirect.github.com/nuget/setup-nuget/issues/118">#118</a>)</li> <li><a href="https://github.com/NuGet/setup-nuget/commit/5166d73a4364a70349ca47c0d2eaf29f6a35ee91"><code>5166d73</code></a> build(deps-dev): bump <code>@typescript-eslint/parser</code> from 6.19.0 to 6.20.0 (<a href="https://redirect.github.com/nuget/setup-nuget/issues/117">#117</a>)</li> <li><a href="https://github.com/NuGet/setup-nuget/commit/b9155458821fce8ba9dfd93e80d9ae0ca27cc95e"><code>b915545</code></a> build(deps-dev): bump ts-jest from 29.1.1 to 29.1.2 (<a href="https://redirect.github.com/nuget/setup-nuget/issues/113">#113</a>)</li> <li><a href="https://github.com/NuGet/setup-nuget/commit/00081d4dbea954580da0a8959641007c145fabca"><code>00081d4</code></a> build(deps-dev): bump nock from 13.4.0 to 13.5.1 (<a href="https://redirect.github.com/nuget/setup-nuget/issues/115">#115</a>)</li> <li><a href="https://github.com/NuGet/…
fs-eire
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Mar 15, 2024
### Description This is required to make shape uniforms really work. ### Motivation and Context The bug was unveiled in a model with multiple Split nodes. The later nodes would try to reuse a previous pipeline cache, while the old shapes were hardcoded as constants in cache.
fs-eire
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Mar 15, 2024
### Description This is required to make shape uniforms really work. ### Motivation and Context The bug was unveiled in a model with multiple Split nodes. The later nodes would try to reuse a previous pipeline cache, while the old shapes were hardcoded as constants in cache.
YUNQIUGUO
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### Description This PR is a preview of cherry-picks for ort-web to `rel-1.17.3` based on `rel-1.17.2`. <details> <summary>Changes of ort-web to cherry-pick</summary> The following commits are from main branch. `o` stands for pick, and `x` stands for skip. ``` o 2e0a388 [js/webgpu] Add HardSigmoid support (#19215) o d226e40 [js/webgpu] set query type in onRunStart (#19202) o 61610ff [js/webgpu] Add FusedConv clip test case (#18900) o a33b5bd [JS/WebGPU] Added Uniforms to SkipLayerNorm. (#18788) o 591f90c [js/webgpu] Fix issue of timestamp query (#19258) o 7252c6e [WebNN EP] Support WebNN async API with Asyncify (#19145) o 5b06505 [js/webgpu] Fix Tanh explosion (#19201) o 656ca66 [js/webgpu] Support uniforms for conv, conv transpose, conv grouped (#18753) o a3f0e24 [js/webgpu] Support f16 uniform (#19098) o 9e69606 fix f16 for attention, enable slice and flatten for more types (#19262) o 624b4e2 [js/webgpu] Remove enableShapesUniforms (#19279) o 90883a3 [js/webgpu] Add hardSigmoid activation for fusedConv (#19233) o 85cef0a [js/webgpu] Support capture and replay for jsep (#18989) o d73131c [js/webgpu] Use DataType as uniform cpu type (#19281) o dd1f6cc [js/webgpu] resolve codescan alert (#19343) o 3a2ab19 [js/webgpu] Refactor createTensorShapeVariables (#18883) o efc17e7 [js/webgpu] Fix the undefined push error (#19366) x 50806a7 [js/web] support external data in npm test (#19377) o ccbe264 [js/webgpu] Add LeakyRelu activation for fusedConv (#19369) o 5ff27ef [js/webgpu] support customop FastGelu (#19392) x 03be65e [js/web] fix types exports in package.json (#19458) o 06269a3 [js/webgpu] allow uint8 tensors for webgpu (#19545) o dfeda90 [JS/WebGPU] Add MatMulNBits (#19446) o 1b48054 [js/webgpu] Create Split indices helpers by rank, not by shape (#19554) o 3fe2c13 [js] small fix to workaround formatter (#19400) x 70567a4 [js/web] use ApiTensor insteadof onnxjs Tensor in TensorResultValidator (#19358) o 6e04e36 [js/common] upgrade tsc in common from 4.9.5 to 5.2.2 (#19317) o 58f4921 [js] changes to allow Float16Array if any polyfill is available (#19305) o 57d6819 [js/web] Fix fused-conv is not included in npm test (#19581) o ebd220b Misspelling in README.md (#19433) o 38c3432 Bump ip from 1.1.8 to 1.1.9 in /js/react_native (#19582) o fe82fcc [js/webgpu] Fix Conv2DTransposeMatMul f16 compilation failure (#19596) o 76a2a48 Bump ip from 1.1.8 to 1.1.9 in /js/react_native/e2e (#19583) o 29b1106 [node] Switch to setImmediate to avoid starving the Node.js event loop (#19610) o ae3d73c [JS/WebGPU] Fix Split and Where to handle corner cases. (#19613) o aec2389 [js/webgpu] allows a ProgramInfo's RunData to use zero sized output (#19614) o bb43a0f [js/webgpu] minor fixes to make tinyllama work (#19564) o 0edb035 [js/web] fix suite test list for zero sized tensor (#19638) o 3cb81cd [js/common] move 'env.wasm.trace' to 'env.trace' (#19617) o e30618d [js/webgpu] use Headless for webgpu test by default (#19702) o f06164e [js/web] transfer input buffer back to caller thread (#19677) x a788514 [js/web] dump debug logs for karma for diagnose purpose (#19785) o 24b72d2 [JS/WebGPU] Preserve zero size input tensor dims. (#19737) o 4538d31 [js/webgpu] expose a few properties in WebGPU API (#19857) o 53de2d8 [js/webgpu] Enable GroupedConvVectorize path (#19791) o ed250b8 [JS/WebGPU] Optimize MatMulNBits (#19852) x e771a76 [js/test] align web test runner flags with ort.env (#19790) o 79e50ae [js/web] rewrite backend resolve to allow multiple EPs (#19735) o acb0df2 Fix #19931 broken Get Started link of "ONNX Runtime JavaScript API" page (#19932) o b29849a [js/common] fix typedoc warnings (#19933) o afdab62 Bump follow-redirects from 1.15.4 to 1.15.6 in /js/web (#19949) o 28ad6c3 Bump follow-redirects from 1.15.4 to 1.15.6 in /js/node (#19951) o 7e0d424 accumulate in fp32 for Reduce* (#19868) o 4c6a6a3 [js/webgpu] Fix NAN caused by un-initialized buffer in instance-norm (#19387) o 01c7aaf [js/webgpu] allow setting env.webgpu.adapter (#19940) o c45cff6 [js/webgpu] fix maxpool / fp16 (#19981) ``` </details> <details> <summary>Cherry-pick commandlines</summary> ```sh git cherry-pick 2e0a388 git cherry-pick d226e40 git cherry-pick 61610ff git cherry-pick a33b5bd git cherry-pick 591f90c git cherry-pick 7252c6e git cherry-pick 5b06505 git cherry-pick 656ca66 git cherry-pick a3f0e24 git cherry-pick 9e69606 git cherry-pick 624b4e2 git cherry-pick 90883a3 git cherry-pick 85cef0a #<<<<< Note: conflicts git cherry-pick d73131c git cherry-pick dd1f6cc git cherry-pick 3a2ab19 git cherry-pick efc17e7 git cherry-pick ccbe264 git cherry-pick 5ff27ef git cherry-pick 06269a3 git cherry-pick dfeda90 git cherry-pick 1b48054 git cherry-pick 3fe2c13 git cherry-pick 6e04e36 git cherry-pick 58f4921 git cherry-pick 57d6819 git cherry-pick ebd220b git cherry-pick 38c3432 git cherry-pick fe82fcc git cherry-pick 76a2a48 git cherry-pick 29b1106 git cherry-pick ae3d73c git cherry-pick aec2389 git cherry-pick bb43a0f git cherry-pick 0edb035 git cherry-pick 3cb81cd git cherry-pick e30618d git cherry-pick f06164e git cherry-pick 24b72d2 git cherry-pick 4538d31 git cherry-pick 53de2d8 git cherry-pick ed250b8 git cherry-pick 79e50ae git cherry-pick acb0df2 git cherry-pick b29849a git cherry-pick afdab62 git cherry-pick 28ad6c3 git cherry-pick 7e0d424 git cherry-pick 4c6a6a3 git cherry-pick 01c7aaf git cherry-pick c45cff6 ``` </details> <details> <summary>Cherry-pick conflicts</summary> - 85cef0a #18989 this change is for enabling graph capture feature for JSEP, and it is done after ROCM EP enabled graph capture feature. However, the ROCM EP graph capture feature is not cherry-picked in rel-1.17.2. </details> --------- Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: Jiajia Qin <[email protected]> Co-authored-by: Xu Xing <[email protected]> Co-authored-by: satyajandhyala <[email protected]> Co-authored-by: Yang Gu <[email protected]> Co-authored-by: Wanming Lin <[email protected]> Co-authored-by: Jiajie Hu <[email protected]> Co-authored-by: Guenther Schmuelling <[email protected]> Co-authored-by: Matttttt <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Segev Finer <[email protected]> Co-authored-by: Belem Zhang <[email protected]>
siweic0
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May 9, 2024
…soft#19554) ### Description This is required to make shape uniforms really work. ### Motivation and Context The bug was unveiled in a model with multiple Split nodes. The later nodes would try to reuse a previous pipeline cache, while the old shapes were hardcoded as constants in cache.
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Description
This is required to make shape uniforms really work.
Motivation and Context
The bug was unveiled in a model with multiple Split nodes. The later nodes would try to reuse a previous pipeline cache, while the old shapes were hardcoded as constants in cache.