From 56e219e03537ec52724da14ce3e90637e3c378a7 Mon Sep 17 00:00:00 2001 From: Viktoriia Date: Wed, 26 Feb 2025 13:52:40 +0100 Subject: [PATCH] all: updated Github links to uxlfoundation --- .github/ISSUE_TEMPLATE/bug_report.md | 8 +++--- .github/automation/aarch64/skipped-tests.sh | 2 +- .github/pull_request_template.md | 6 ++--- CITATION.cff | 4 +-- CODING_STANDARDS.md | 2 +- CONTRIBUTING.md | 8 +++--- README.binary.in | 12 ++++----- README.md | 27 +++++++++---------- SECURITY.md | 6 ++--- doc/advanced/experimental.md | 2 +- doc/advanced/understanding_memory_formats.md | 4 +-- doc/build/build.md | 8 +++--- doc/build/build_options.md | 2 +- doc/graph/fusion_patterns/gated_mlp.md | 8 +++--- doc/graph/fusion_patterns/gqa.md | 2 +- doc/graph/fusion_patterns/sdpa.md | 6 ++--- doc/performance_considerations/benchdnn.md | 2 +- doc/performance_considerations/verbose.md | 4 +-- .../verbose_table.md | 12 ++++----- doc/sphinx/conf.py | 2 +- .../matmul/cpu_matmul_quantization.cpp | 2 +- scripts/verbose_converter/README.md | 2 +- src/gpu/intel/jit/conv/README.md | 2 +- tests/benchdnn/README.md | 2 +- tests/benchdnn/conv/conv.cpp | 2 +- tests/benchdnn/deconv/deconv.cpp | 2 +- tests/benchdnn/doc/driver_binary.md | 2 +- tests/benchdnn/doc/driver_bnorm.md | 2 +- tests/benchdnn/doc/driver_conv.md | 4 +-- tests/benchdnn/doc/driver_eltwise.md | 2 +- tests/benchdnn/doc/driver_gnorm.md | 2 +- tests/benchdnn/doc/driver_lnorm.md | 2 +- tests/benchdnn/doc/driver_lrn.md | 4 +-- tests/benchdnn/doc/driver_pool.md | 2 +- tests/benchdnn/doc/driver_reduction.md | 2 +- tests/benchdnn/doc/driver_resampling.md | 2 +- tests/benchdnn/doc/driver_rnn.md | 2 +- tests/benchdnn/doc/driver_softmax.md | 2 +- tests/benchdnn/doc/knobs_attr.md | 10 +++---- tests/benchdnn/ip/ip.cpp | 2 +- tests/benchdnn/softmax/softmax.cpp | 2 +- tests/benchdnn/utils/parser.cpp | 22 +++++++-------- tests/gtests/test_iface_attr.cpp | 2 +- 43 files changed, 102 insertions(+), 103 deletions(-) diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md index 2770b4545d..3172e0f16c 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -12,7 +12,7 @@ factors are considered important to reproduce an issue. # Version Report oneDNN version and githash. Version information is printed to stdout -in [verbose mode](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html). +in [verbose mode](https://uxlfoundation.github.io/oneDNN/dev_guide_verbose.html). # Environment oneDNN includes hardware-specific optimizations and may behave @@ -30,8 +30,8 @@ the following information to help reproduce the issue: Please check that the issue is reproducible with the latest revision on master. Include all the steps to reproduce the issue. -You can use [verbose mode](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html) -and [benchdnn](https://github.com/oneapi-src/oneDNN/tree/master/tests/benchdnn) +You can use [verbose mode](https://uxlfoundation.github.io/oneDNN/dev_guide_verbose.html) +and [benchdnn](https://github.com/uxlfoundation/oneDNN/tree/master/tests/benchdnn) to validate correctness of all primitives the library supports. If this does not work a short C/C++ program or modified unit tests demonstrating the issue will greatly help with the investigation. @@ -40,7 +40,7 @@ will greatly help with the investigation. Document behavior you observe. For performance defects, like performance regressions or a function being slow, provide a log including output generated by your application in -[verbose mode](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html). +[verbose mode](https://uxlfoundation.github.io/oneDNN/dev_guide_verbose.html). # Expected behavior Document behavior you expect. \ No newline at end of file diff --git a/.github/automation/aarch64/skipped-tests.sh b/.github/automation/aarch64/skipped-tests.sh index bfa644a2c3..0000e5d1fd 100755 --- a/.github/automation/aarch64/skipped-tests.sh +++ b/.github/automation/aarch64/skipped-tests.sh @@ -27,7 +27,7 @@ OS=${OS:-"Linux"} SKIPPED_GRAPH_TEST_FAILURES="test_graph_unit_dnnl_sdp_decomp_cpu" SKIPPED_GRAPH_TEST_FAILURES+="|test_graph_unit_dnnl_mqa_decomp_cpu" -# described in issue: https://github.com/oneapi-src/oneDNN/issues/2175 +# described in issue: https://github.com/uxlfoundation/oneDNN/issues/2175 SKIPPED_TEST_FAILURES="test_benchdnn_modeC_matmul_multidims_cpu" # We currently have some OS and config specific test failures. diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 8dde2c631e..3d45207d59 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -1,6 +1,6 @@ # Description -Please include a summary of the change. Please also include relevant motivation and context. See [contribution guidelines](https://github.com/oneapi-src/oneDNN/blob/master/CONTRIBUTING.md) for more details. If the change fixes an issue not documented in the project's Github issue tracker, please document all steps necessary to reproduce it. +Please include a summary of the change. Please also include relevant motivation and context. See [contribution guidelines](https://github.com/uxlfoundation/oneDNN/blob/master/CONTRIBUTING.md) for more details. If the change fixes an issue not documented in the project's Github issue tracker, please document all steps necessary to reproduce it. Fixes # (github issue) @@ -26,7 +26,7 @@ Fixes # (github issue) - [ ] Have you included information on how to reproduce the issue (either in a github issue or in this PR)? - [ ] Have you added relevant regression tests? -## [RFC](https://github.com/oneapi-src/oneDNN/tree/rfcs) PR +## [RFC](https://github.com/uxlfoundation/oneDNN/tree/rfcs) PR -- [ ] Does RFC document follow the [template](https://github.com/oneapi-src/oneDNN/blob/rfcs/rfcs/template.md#onednn-design-document-rfc)? +- [ ] Does RFC document follow the [template](https://github.com/uxlfoundation/oneDNN/blob/rfcs/rfcs/template.md#onednn-design-document-rfc)? - [ ] Have you added a link to the rendered document? diff --git a/CITATION.cff b/CITATION.cff index 9a69995209..9967dadba8 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -8,8 +8,8 @@ message: >- type: software authors: - name: oneDNN Contributors -repository-code: 'https://github.com/oneapi-src/oneDNN' -url: 'https://oneapi-src.github.io/oneDNN' +repository-code: 'https://github.com/uxlfoundation/oneDNN' +url: 'https://uxlfoundation.github.io/oneDNN' abstract: >- oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. diff --git a/CODING_STANDARDS.md b/CODING_STANDARDS.md index bfe16cae06..4698cebdd3 100644 --- a/CODING_STANDARDS.md +++ b/CODING_STANDARDS.md @@ -25,7 +25,7 @@ oneDNN uses [clang-tidy](https://clang.llvm.org/extra/clang-tidy/) in order to diagnose and fix common style violations and easy-to-fix issues in the code base. For instructions on how to use `clang-tidy`, please refer to the [clang-tidy -RFC](https://github.com/oneapi-src/oneDNN/blob/rfcs/rfcs/20200813-clang-tidy/README.md). +RFC](https://github.com/uxlfoundation/oneDNN/blob/rfcs/rfcs/20200813-clang-tidy/README.md). The list of clang-tidy checks the oneDNN code base follows is available in the `.clang-tidy` file found in the oneDNN top-level directory. diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index ea8c718f80..100d842948 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -7,8 +7,8 @@ requests! To get started, see the GitHub You can: - Submit your changes directly with a - [pull request](https://github.com/oneapi-src/oneDNN/pulls) -- Log a bug or feedback with an [issue](https://github.com/oneapi-src/oneDNN/issues) + [pull request](https://github.com/uxlfoundation/oneDNN/pulls) +- Log a bug or feedback with an [issue](https://github.com/uxlfoundation/oneDNN/issues) **See also:** [Contributor Covenant](CODE_OF_CONDUCT.md) code of conduct. @@ -54,7 +54,7 @@ For Comments (RFC) process, which consists of opening, discussing, and accepting (promoting) RFC pull requests. More information about the process can be found in the dedicated -[`rfcs`](https://github.com/oneapi-src/oneDNN/tree/rfcs) branch. +[`rfcs`](https://github.com/uxlfoundation/oneDNN/tree/rfcs) branch. ## Code contribution guidelines @@ -146,7 +146,7 @@ Use the following command to run tests selected by a build configuration: ``` To modify the coverage, use the -[`ONEDNN_TEST_SET`](https://oneapi-src.github.io/oneDNN/dev_guide_build_options.html#onednn-test-set) +[`ONEDNN_TEST_SET`](https://uxlfoundation.github.io/oneDNN/dev_guide_build_options.html#onednn-test-set) build option. More details on how to run benchdnn can be found in diff --git a/README.binary.in b/README.binary.in index 76d7f7e39a..1d8ae9f9e0 100644 --- a/README.binary.in +++ b/README.binary.in @@ -13,17 +13,17 @@ developers interested in improving application performance on CPUs and GPUs. This package contains oneDNN v@PROJECT_VERSION@ (@DNNL_VERSION_HASH@). You can find information about the latest version and release notes -at the oneDNN Github (https://github.com/oneapi-src/oneDNN/releases). +at the oneDNN Github (https://github.com/uxlfoundation/oneDNN/releases). Documentation ------------- * Developer guide -(https://oneapi-src.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@) +(https://uxlfoundation.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@) explains the programming model, supported functionality, and implementation details, and includes annotated examples. * API reference -(https://oneapi-src.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@/modules.html) +(https://uxlfoundation.github.io/oneDNN/v@DNNL_VERSION_MAJOR@.@DNNL_VERSION_MINOR@/modules.html) provides a comprehensive reference of the library API. System Requirements @@ -48,7 +48,7 @@ just-in-time (JIT) code generation to deploy the code optimized for the latest supported ISA. Future ISAs may have initial support in the library disabled by default and require the use of run-time controls to enable them. See CPU dispatcher control -(https://oneapi-src.github.io/oneDNN/dev_guide_cpu_dispatcher_control.html) +(https://uxlfoundation.github.io/oneDNN/dev_guide_cpu_dispatcher_control.html) for more details. The library is optimized for the following GPUs: @@ -65,7 +65,7 @@ Support ------- Submit questions, feature requests, and bug reports on the -GitHub issues page (https://github.com/oneapi-src/oneDNN/issues). +GitHub issues page (https://github.com/uxlfoundation/oneDNN/issues). License ------- @@ -102,7 +102,7 @@ govern your use of the third party programs as set forth in the # Security -Security Policy (https://github.com/oneapi-src/oneDNN/blob/main/SECURITY.md) +Security Policy (https://github.com/uxlfoundation/oneDNN/blob/main/SECURITY.md) outlines our guidelines and procedures for ensuring the highest level of Security and trust for our users who consume oneDNN. diff --git a/README.md b/README.md index 93c8cd0339..861de627f7 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ oneAPI Deep Neural Network Library (oneDNN) =========================================== [![OpenSSF Best Practices](https://www.bestpractices.dev/projects/8762/badge)](https://www.bestpractices.dev/projects/8762) -[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/oneapi-src/oneDNN/badge)](https://securityscorecards.dev/viewer/?uri=github.com/oneapi-src/oneDNN) +[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/uxlfoundation/oneDNN/badge)](https://securityscorecards.dev/viewer/?uri=github.com/uxlfoundation/oneDNN) oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. @@ -63,10 +63,9 @@ optimizations are available with [Intel® Extension for TensorFlow*]. optimizations, and improvements implemented in each version of oneDNN. -[oneDNN Developer Guide and Reference]: https://oneapi-src.github.io/oneDNN -[API Reference]: https://oneapi-src.github.io/oneDNN/group_dnnl_api.html -[Release Notes]: https://github.com/oneapi-src/oneDNN/releases - +[oneDNN Developer Guide and Reference]: https://uxlfoundation.github.io/oneDNN +[API Reference]: https://uxlfoundation.github.io/oneDNN/group_dnnl_api.html +[Release Notes]: https://github.com/uxlfoundation/oneDNN/releases # System Requirements @@ -121,8 +120,8 @@ The library is optimized for the following GPUs: (formerly Meteor Lake, Arrow Lake and Lunar Lake) * future Intel Arc graphics (code name Battlemage) -[CPU dispatcher control]: https://oneapi-src.github.io/oneDNN/dev_guide_cpu_dispatcher_control.html -[Linking Guide]: https://oneapi-src.github.io/oneDNN/dev_guide_link.html +[CPU dispatcher control]: https://uxlfoundation.github.io/oneDNN/dev_guide_cpu_dispatcher_control.html +[Linking Guide]: https://uxlfoundation.github.io/oneDNN/dev_guide_link.html ## Requirements for Building from Source @@ -313,8 +312,8 @@ You can download and install the oneDNN library using one of the following optio [conda-forge]: https://anaconda.org/conda-forge/onednn [System Requirements]: #system-requirements -[Build Options]: https://oneapi-src.github.io/oneDNN/dev_guide_build_options.html -[Build from Source]: https://oneapi-src.github.io/oneDNN/dev_guide_build.html +[Build Options]: https://uxlfoundation.github.io/oneDNN/dev_guide_build_options.html +[Build from Source]: https://uxlfoundation.github.io/oneDNN/dev_guide_build.html # Validated Configurations @@ -366,7 +365,7 @@ Submit questions, feature requests, and bug reports on the You can also contact oneDNN developers via [UXL Foundation Slack] using [#onednn] channel. -[Github issues]: https://github.com/oneapi-src/oneDNN/issues +[Github issues]: https://github.com/uxlfoundation/oneDNN/issues [UXL Foundation Slack]: https://slack-invite.uxlfoundation.org/ [#onednn]: https://uxlfoundation.slack.com/channels/onednn @@ -401,12 +400,12 @@ This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](CODE_OF_CONDUCT.md) code of conduct. -[RFC pull request]: https://github.com/oneapi-src/oneDNN/tree/rfcs +[RFC pull request]: https://github.com/uxlfoundation/oneDNN/tree/rfcs [code contribution guidelines]: CONTRIBUTING.md#code-contribution-guidelines [coding standards]: CONTRIBUTING.md#coding-standards -[pull request]: https://github.com/oneapi-src/oneDNN/pulls -[Milestones]: https://github.com/oneapi-src/oneDNN/milestones -[help wanted]: https://github.com/oneapi-src/oneDNN/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22 +[pull request]: https://github.com/uxlfoundation/oneDNN/pulls +[Milestones]: https://github.com/uxlfoundation/oneDNN/milestones +[help wanted]: https://github.com/uxlfoundation/oneDNN/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22 # License diff --git a/SECURITY.md b/SECURITY.md index 0613b2e770..279574c78f 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -64,6 +64,6 @@ If you have any suggestions on how this Policy could be improved, please submit an issue or a pull request to this repository. Please **do not** report potential vulnerabilities or security flaws via a pull request. -[1]: https://github.com/oneapi-src/oneDNN/releases/latest -[2]: https://github.com/oneapi-src/oneDNN/security/advisories/new -[3]: https://github.com/oneapi-src/oneDNN/security/advisories +[1]: https://github.com/uxlfoundation/oneDNN/releases/latest +[2]: https://github.com/uxlfoundation/oneDNN/security/advisories/new +[3]: https://github.com/uxlfoundation/oneDNN/security/advisories diff --git a/doc/advanced/experimental.md b/doc/advanced/experimental.md index 904cd002f9..533f0af079 100644 --- a/doc/advanced/experimental.md +++ b/doc/advanced/experimental.md @@ -22,7 +22,7 @@ Both kinds of experimental features can be enabled simultaneously. | Environment variable | Description | |:-----------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------| -| ONEDNN_EXPERIMENTAL_BNORM_STATS_ONE_PASS | Calculate mean and variance in batch normalization(BN) in single pass ([RFC](https://github.com/oneapi-src/oneDNN/tree/rfcs/rfcs/20210519-single-pass-bnorm)). | +| ONEDNN_EXPERIMENTAL_BNORM_STATS_ONE_PASS | Calculate mean and variance in batch normalization(BN) in single pass ([RFC](https://github.com/uxlfoundation/oneDNN/tree/rfcs/rfcs/20210519-single-pass-bnorm)). | | ONEDNN_EXPERIMENTAL_GPU_CONV_V2 | Enable shapeless GPU convolution implementation (the feature is under development). | | Build time option | Description | diff --git a/doc/advanced/understanding_memory_formats.md b/doc/advanced/understanding_memory_formats.md index 30d2f19117..1149a921d9 100644 --- a/doc/advanced/understanding_memory_formats.md +++ b/doc/advanced/understanding_memory_formats.md @@ -115,9 +115,9 @@ in this example. One can create memory with **NCHW** data layout using #dnnl_nchw of the enum type #dnnl_format_tag_t defined in -[dnnl_types.h](https://github.com/oneapi-src/oneDNN/blob/master/include/oneapi/dnnl/dnnl_types.h) +[dnnl_types.h](https://github.com/uxlfoundation/oneDNN/blob/master/include/oneapi/dnnl/dnnl_types.h) for the C API, and dnnl::memory::format_tag::nchw defined in -[dnnl.hpp](https://github.com/oneapi-src/oneDNN/blob/master/include/oneapi/dnnl/dnnl.hpp) +[dnnl.hpp](https://github.com/uxlfoundation/oneDNN/blob/master/include/oneapi/dnnl/dnnl.hpp) for the C++ API. diff --git a/doc/build/build.md b/doc/build/build.md index fd7bc503c7..1c765f3ddf 100644 --- a/doc/build/build.md +++ b/doc/build/build.md @@ -3,16 +3,16 @@ Build from Source {#dev_guide_build} ## Download the Source Code -Download [oneDNN source code](https://github.com/oneapi-src/oneDNN/archive/master.zip) -or clone [the repository](https://github.com/oneapi-src/oneDNN.git). +Download [oneDNN source code](https://github.com/uxlfoundation/oneDNN/archive/master.zip) +or clone [the repository](https://github.com/uxlfoundation/oneDNN.git). ~~~sh -git clone https://github.com/oneapi-src/oneDNN.git +git clone https://github.com/uxlfoundation/oneDNN.git ~~~ ## Build the Library -Ensure that all [software dependencies](https://github.com/oneapi-src/oneDNN#requirements-for-building-from-source) +Ensure that all [software dependencies](https://github.com/uxlfoundation/oneDNN#requirements-for-building-from-source) are in place and have at least the minimal supported version. The oneDNN build system is based on CMake. Use diff --git a/doc/build/build_options.md b/doc/build/build_options.md index a6c9f48eb9..b90fb62932 100644 --- a/doc/build/build_options.md +++ b/doc/build/build_options.md @@ -303,7 +303,7 @@ $ cmake -DONEDNN_BLAS_VENDOR=ARMPL .. Additional options available for development/debug purposes. These options are subject to change without notice, see -[`cmake/options.cmake`](https://github.com/oneapi-src/oneDNN/blob/master/cmake/options.cmake) +[`cmake/options.cmake`](https://github.com/uxlfoundation/oneDNN/blob/master/cmake/options.cmake) for details. ## GPU Options diff --git a/doc/graph/fusion_patterns/gated_mlp.md b/doc/graph/fusion_patterns/gated_mlp.md index 1ee9e158af..73611ab6e1 100644 --- a/doc/graph/fusion_patterns/gated_mlp.md +++ b/doc/graph/fusion_patterns/gated_mlp.md @@ -70,7 +70,7 @@ optional. [GELU](@ref dev_guide_op_gelu), [Sigmoid](@ref dev_guide_op_sigmoid), and so on. For Swish activation, the node can be constructed with the [Sigmoid](@ref dev_guide_op_sigmoid) and [Multiply](@ref dev_guide_op_multiply) as below. You can also refer the - [Gated-MLP example](https://github.com/oneapi-src/oneDNN/tree/main/examples/graph/gated_mlp.cpp) + [Gated-MLP example](https://github.com/uxlfoundation/oneDNN/tree/main/examples/graph/gated_mlp.cpp) for Swish definition. ![Swish Activation](images/gated-mlp-swish.png) @@ -104,13 +104,13 @@ platforms follow the general description in @ref dev_guide_data_types. ## Examples oneDNN provides a [Gated-MLP -example](https://github.com/oneapi-src/oneDNN/tree/main/examples/graph/gated_mlp.cpp) +example](https://github.com/uxlfoundation/oneDNN/tree/main/examples/graph/gated_mlp.cpp) demonstrating how to construct a typical floating-point Gated-MLP pattern with oneDNN Graph API on CPU and GPU with different runtimes. For applications where the weights of FC up and FC gate are combined as a single tensor, oneDNN also provides an -[example](https://github.com/oneapi-src/oneDNN/tree/main/examples/graph/gated_mlp_wei_combined.cpp) +[example](https://github.com/uxlfoundation/oneDNN/tree/main/examples/graph/gated_mlp_wei_combined.cpp) demonstrating how to create the weight tensors for the pattern with the offsets and strides from the combined weight tensor. @@ -120,4 +120,4 @@ and strides from the combined weight tensor. 2. GLU Variants Improve Transformer, https://arxiv.org/abs/2002.05202 3. LLaMA: Open and Efficient Foundation Language Models, https://arxiv.org/abs/2302.13971 4. Qwen Technical Report, https://arxiv.org/abs/2309.16609 -5. oneDNN Graph API documentation, https://oneapi-src.github.io/oneDNN/graph_extension.html +5. oneDNN Graph API documentation, https://uxlfoundation.github.io/oneDNN/graph_extension.html diff --git a/doc/graph/fusion_patterns/gqa.md b/doc/graph/fusion_patterns/gqa.md index ea48cb6c1e..84d846924c 100644 --- a/doc/graph/fusion_patterns/gqa.md +++ b/doc/graph/fusion_patterns/gqa.md @@ -93,7 +93,7 @@ platforms follow the general description in @ref dev_guide_data_types. ## Example oneDNN provides a [GQA -example](https://github.com/oneapi-src/oneDNN/tree/main/examples/graph/gqa.cpp) +example](https://github.com/uxlfoundation/oneDNN/tree/main/examples/graph/gqa.cpp) demonstrating how to construct a floating-point GQA pattern with oneDNN Graph API on CPU and GPU with different runtimes. diff --git a/doc/graph/fusion_patterns/sdpa.md b/doc/graph/fusion_patterns/sdpa.md index 0f2e889789..8be979adc6 100644 --- a/doc/graph/fusion_patterns/sdpa.md +++ b/doc/graph/fusion_patterns/sdpa.md @@ -135,12 +135,12 @@ platforms follow the general description in @ref dev_guide_data_types. ## Example oneDNN provides an [SDPA -example](https://github.com/oneapi-src/oneDNN/tree/main/examples/graph/sdpa.cpp) +example](https://github.com/uxlfoundation/oneDNN/tree/main/examples/graph/sdpa.cpp) demonstrating how to construct a typical floating-point SDPA pattern with oneDNN Graph API on CPU and GPU with different runtimes. oneDNN also provides a [MQA (Multi-Query Attention) -example](https://github.com/oneapi-src/oneDNN/tree/main/examples/graph/mqa.cpp) [3] +example](https://github.com/uxlfoundation/oneDNN/tree/main/examples/graph/mqa.cpp) [3] demonstrating how to construct a floating-point MQA pattern with the same pattern structure as in the SDPA example but different head number in Key and Value tensors. In MQA, the head number of Key and Value is always one. @@ -149,6 +149,6 @@ Value tensors. In MQA, the head number of Key and Value is always one. [1] Attention is all you need, https://arxiv.org/abs/1706.03762v7 -[2] oneDNN Graph API documentation, https://oneapi-src.github.io/oneDNN/graph_extension.html +[2] oneDNN Graph API documentation, https://uxlfoundation.github.io/oneDNN/graph_extension.html [3] Fast Transformer Decoding: One Write-Head is All You Need, https://arxiv.org/abs/1911.02150 diff --git a/doc/performance_considerations/benchdnn.md b/doc/performance_considerations/benchdnn.md index 36d8124d05..091d4fb08b 100644 --- a/doc/performance_considerations/benchdnn.md +++ b/doc/performance_considerations/benchdnn.md @@ -4,4 +4,4 @@ Benchmarking Performance {#dev_guide_benchdnn} oneDNN has a built-in benchmarking program called benchdnn. For a complete description of the available options and working examples, see -the [benchdnn readme](https://github.com/oneapi-src/oneDNN/blob/master/tests/benchdnn/README.md#benchdnn). +the [benchdnn readme](https://github.com/uxlfoundation/oneDNN/blob/master/tests/benchdnn/README.md#benchdnn). diff --git a/doc/performance_considerations/verbose.md b/doc/performance_considerations/verbose.md index 217923f210..9696125237 100644 --- a/doc/performance_considerations/verbose.md +++ b/doc/performance_considerations/verbose.md @@ -151,7 +151,7 @@ Above, we can see that the highest performance implementations were not dispatched either because they required a higher ISA, or because they did not support that datatype configuration. A complete list of verbose messages encountered in the dispatch mode -can be found [here](https://oneapi-src.github.io/oneDNN/dev_guide_verbose_table.html) along with their explanation. +can be found [here](https://uxlfoundation.github.io/oneDNN/dev_guide_verbose_table.html) along with their explanation. ### Enable ONEDNN_VERBOSE with timestamps @@ -240,7 +240,7 @@ primitive execution. @note When oneDNN verbose mode is enabled for builds with -[Compute Library for the Arm architecture](https://oneapi-src.github.io/oneDNN/dev_guide_build.html#gcc-with-arm-compute-library-acl-on-aarch64-host), +[Compute Library for the Arm architecture](https://uxlfoundation.github.io/oneDNN/dev_guide_build.html#gcc-with-arm-compute-library-acl-on-aarch64-host), any failures in the validation of Compute Library primitives will be detailed in the verbose output. diff --git a/doc/performance_considerations/verbose_table.md b/doc/performance_considerations/verbose_table.md index 587abf5d8f..ace5d59afd 100644 --- a/doc/performance_considerations/verbose_table.md +++ b/doc/performance_considerations/verbose_table.md @@ -54,7 +54,7 @@ The following catalogue lists verbose messages, explanations, and additional inf |`alpha and beta parameters are not properly set` | | `eltwise` | Alpha and beta parameters are not properly set for the elementwise algorithm. | |`large shapes fall back` | | `gemm` | Heuristic to skip current implementation for large tensor shapes for better performance. | |`only trivial strides are supported` | | `gemm`, `rnn` | Current implementation for the primitive does not process non-trivial stride values. | -|`unsupported fpmath mode` | | `matmul` | [Floating-point math mode](https://oneapi-src.github.io/oneDNN/group_dnnl_api_fpmath_mode.html?highlight=math%20mode) is not supported by the current primitive implementation. | +|`unsupported fpmath mode` | | `matmul` | [Floating-point math mode](https://uxlfoundation.github.io/oneDNN/group_dnnl_api_fpmath_mode.html?highlight=math%20mode) is not supported by the current primitive implementation. | |`small shapes fall back` | | `matmul` | Heuristic to skip current implementation for small tensor shapes for better performance. | |`incompatible gemm format` | | `matmul`, `ip` | Specified GeMM format is incompatible with the current primitive implementation. | |`unsupported tensor layout` |`t` - tensor | `reorder` | The data layout for the source/destination tensor is not supported by the current implementation. | @@ -63,13 +63,13 @@ The following catalogue lists verbose messages, explanations, and additional inf |**Miscellaneous** | | | | |`failed to create nested primitive` |`pm` - `dnnl::primitive` | all | Descriptor initialization for the nested primitive implementation was unsuccessful. | |`failed to create descriptor` |`pm` -`dnnl::primitive`, `dnnl::memory` | all | Descriptor initialization for the primitive or memory object was unsuccessful. | -|`bad accumulation mode` | | all | Bad or invalid [accumulation mode](https://oneapi-src.github.io/oneDNN/enum_dnnl_accumulation_mode.html) specified for primitive attribute `dnnl::primitive_attr`. | +|`bad accumulation mode` | | all | Bad or invalid [accumulation mode](https://uxlfoundation.github.io/oneDNN/enum_dnnl_accumulation_mode.html) specified for primitive attribute `dnnl::primitive_attr`. | |`unsupported md flag` |`t` - tensor | all | Bad or unsupported flags specified for the memory descriptor `dnnl::memory::desc`. | |`problem is not mathematically consistent` | | all | *(self-explanatory)* | |`workspace mismatch between forward and backward primitive descriptors`| | all | *(self-explanatory)* | -|`workspace initialization failed` | | all | [Workspace](https://oneapi-src.github.io/oneDNN/dev_guide_inference_and_training_aspects.html?highlight=workspace#workspace) descriptor initialization was unsuccessful during primitive creation. | +|`workspace initialization failed` | | all | [Workspace](https://uxlfoundation.github.io/oneDNN/dev_guide_inference_and_training_aspects.html?highlight=workspace#workspace) descriptor initialization was unsuccessful during primitive creation. | |`invalid datatype for ` |`t` - tensor | all | The data type for the tensor/data processed by the primitive is invalid. **Example**: This is encountered when an undefined data type `data_type::undef` is specified for the accumulator. | -|`failed to run kernel deterministically` | | all | failed to run application in the [deterministic mode](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_deterministic.html?highlight=deterministic). | +|`failed to run kernel deterministically` | | all | failed to run application in the [deterministic mode](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_deterministic.html?highlight=deterministic). | |`skipping or dispatching to another implementation` | | all | *(self-explanatory)* | |`failed to create kernel` |`k` - kernel name | all | *(self-explanatory)* | @@ -86,7 +86,7 @@ The following catalogue lists verbose messages, explanations, and additional inf |`unsupported platform (expected got )` |`d` - `dnnl::engine::kind`, `d0` - queried platform, `d1` - available platform | `sycl`, `opencl` | Unsupported device platform encountered during engine creation. | |`failed to create engine with index ` |`d` - `dnnl::engine::kind`, `i` - device index |all | Engine creation was unsuccessful for the specified device index and kind. | |`unsupported backend` |`d` - `dnnl::engine::kind` | `sycl` | *(self-explanatory)* | -|`profiling capabilities are not supported` | | all | Experimental profiling ([ONEDNN_EXPERIMENTAL_PROFILING](https://oneapi-src.github.io/oneDNN/dev_guide_experimental.html?highlight=profiling#onednn-experimental-profiling)) is not enabled for the application. | +|`profiling capabilities are not supported` | | all | Experimental profiling ([ONEDNN_EXPERIMENTAL_PROFILING](https://uxlfoundation.github.io/oneDNN/dev_guide_experimental.html?highlight=profiling#onednn-experimental-profiling)) is not enabled for the application. | ## Memory Creation and Related Operations @@ -96,6 +96,6 @@ The following catalogue lists verbose messages, explanations, and additional inf |`bad arguments for memory descriptor` | Bad or unsupported values passed to the memory descriptor `dnnl::memory::desc` during memory object creation. | |`invalid memory index` | An out-of-range value encountered for memory handle during data mapping. | |`unsupported memory stride` | Memory descriptor initialization failed due to unsupported value for memory strides. | -|`scratchpad memory limit exceeded` | [Scratchpad](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_scratchpad.html?highlight=scratchpad) space is exhausted during GEMM kernel initialization. | +|`scratchpad memory limit exceeded` | [Scratchpad](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_scratchpad.html?highlight=scratchpad) space is exhausted during GEMM kernel initialization. | |`scratchpad initialization unsuccessful` | *(self-explanatory)* | diff --git a/doc/sphinx/conf.py b/doc/sphinx/conf.py index 976056daff..0811d5ba6f 100644 --- a/doc/sphinx/conf.py +++ b/doc/sphinx/conf.py @@ -136,7 +136,7 @@ html_static_path = ['_static'] #html_js_files = [('dnnl.js', {'defer': 'defer'})] html_theme_options = { - "repository_url": "https://github.com/oneapi-src/oneDNN", + "repository_url": "https://github.com/uxlfoundation/oneDNN", "repository_branch": "master", "use_repository_button": True, "use_download_button": False diff --git a/examples/tutorials/matmul/cpu_matmul_quantization.cpp b/examples/tutorials/matmul/cpu_matmul_quantization.cpp index 9beeddbee2..b7c0264b94 100644 --- a/examples/tutorials/matmul/cpu_matmul_quantization.cpp +++ b/examples/tutorials/matmul/cpu_matmul_quantization.cpp @@ -154,7 +154,7 @@ void compute_q10n_params(const char *message, const std::vector &v, #ifndef OMIT_WORKAROUND_FOR_SKX // Read more in CPU / Section 1 here: - // https://oneapi-src.github.io/oneDNN/dev_guide_int8_computations.html + // https://uxlfoundation.github.io/oneDNN/dev_guide_int8_computations.html if (std::is_same::value) max_int /= 2; #endif diff --git a/scripts/verbose_converter/README.md b/scripts/verbose_converter/README.md index 3a7b3af3e2..983a5ecc26 100644 --- a/scripts/verbose_converter/README.md +++ b/scripts/verbose_converter/README.md @@ -1,7 +1,7 @@ # Verbose log converter Verbose log converter is a tool that allows to convert [oneDNN -verbose](https://oneapi-src.github.io/oneDNN/dev_guide_verbose.html) +verbose](https://uxlfoundation.github.io/oneDNN/dev_guide_verbose.html) output to various outputs (input files for benchdnn and execution statistics breakdown at this time). The tool can be extended to produce other types of output by adding generators. diff --git a/src/gpu/intel/jit/conv/README.md b/src/gpu/intel/jit/conv/README.md index ad2840bf78..5c40f0bc9f 100644 --- a/src/gpu/intel/jit/conv/README.md +++ b/src/gpu/intel/jit/conv/README.md @@ -3,7 +3,7 @@ GPU Convolution Kernel Generator # Generalized Convolution Algorithm -See [oneDNN documentation](https://oneapi-src.github.io/oneDNN/dev_guide_convolution.html) +See [oneDNN documentation](https://uxlfoundation.github.io/oneDNN/dev_guide_convolution.html) for the naming conventions that are used below. Convolution has more variations than GEMM but for simplicity we will rely on diff --git a/tests/benchdnn/README.md b/tests/benchdnn/README.md index a23c6aee70..7b8f0a571e 100644 --- a/tests/benchdnn/README.md +++ b/tests/benchdnn/README.md @@ -2,7 +2,7 @@ **benchdnn** is an extended and robust correctness verification and performance benchmarking tool for the primitives provided by -[oneDNN](https://github.com/oneapi-src/oneDNN). The purpose of the benchmark is +[oneDNN](https://github.com/uxlfoundation/oneDNN). The purpose of the benchmark is an extended and robust correctness verification of the primitives provided by oneDNN. **benchdnn** itself is a harness for different primitive-specific drivers. diff --git a/tests/benchdnn/conv/conv.cpp b/tests/benchdnn/conv/conv.cpp index 6690be4b37..c43baff97a 100644 --- a/tests/benchdnn/conv/conv.cpp +++ b/tests/benchdnn/conv/conv.cpp @@ -92,7 +92,7 @@ int check_reorder_presence( /* Note for x64: Both data types of src and weight are s8, oneDNN addds 128 to one of the s8 input to make it of type u8 instead, as explained in - https://oneapi-src.github.io/oneDNN/dev_guide_int8_computations.html or + https://uxlfoundation.github.io/oneDNN/dev_guide_int8_computations.html or doc/advanced/int8_computations.md It is because `VPDPBUSD` instruction uses the combination of s8 and u8 as input. diff --git a/tests/benchdnn/deconv/deconv.cpp b/tests/benchdnn/deconv/deconv.cpp index 05901b891b..6155846898 100644 --- a/tests/benchdnn/deconv/deconv.cpp +++ b/tests/benchdnn/deconv/deconv.cpp @@ -104,7 +104,7 @@ int check_reorder_presence( /* Note for x64: Both data types of src and weight are s8, oneDNN addds 128 to one of the s8 input to make it of type u8 instead, as explained in - https://oneapi-src.github.io/oneDNN/dev_guide_int8_computations.html or + https://uxlfoundation.github.io/oneDNN/dev_guide_int8_computations.html or doc/advanced/int8_computations.md It is because `VPDPBUSD` instruction uses the combination of s8 and u8 as input. diff --git a/tests/benchdnn/doc/driver_binary.md b/tests/benchdnn/doc/driver_binary.md index 9e39c89c89..dbda0fc6fa 100644 --- a/tests/benchdnn/doc/driver_binary.md +++ b/tests/benchdnn/doc/driver_binary.md @@ -19,7 +19,7 @@ where *binary-knobs* are: Refer to [tags](knobs_tag.md) for details. - `--alg={ADD [default], DIV, EQ, GE, GT, LE, LT, MAX, MIN, MUL, NE, SELECT, SUB}` -- algorithm for binary operations. - Refer to [binary primitive](https://oneapi-src.github.io/oneDNN/dev_guide_binary.html) + Refer to [binary primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_binary.html) for details. - `--inplace=BOOL` -- memory mode for the primitive. If `true`, it uses input memory as output, otherwise, input and output are separate. diff --git a/tests/benchdnn/doc/driver_bnorm.md b/tests/benchdnn/doc/driver_bnorm.md index 47eeec4a43..ccd59e6a88 100644 --- a/tests/benchdnn/doc/driver_bnorm.md +++ b/tests/benchdnn/doc/driver_bnorm.md @@ -23,7 +23,7 @@ where *bnorm-knobs* are: `H` is dnnl_use_shift; `R` is dnnl_fuse_norm_relu; `A` is dnnl_fuse_norm_add_relu; - Refer to [batch normalization primitive](https://oneapi-src.github.io/oneDNN/dev_guide_batch_normalization.html) + Refer to [batch normalization primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_batch_normalization.html) for details. - `--inplace=BOOL` -- memory mode for the primitive. If `true`, it uses input memory as output, otherwise, input and output are separate. diff --git a/tests/benchdnn/doc/driver_conv.md b/tests/benchdnn/doc/driver_conv.md index eb4d129289..a1e2e6cf69 100644 --- a/tests/benchdnn/doc/driver_conv.md +++ b/tests/benchdnn/doc/driver_conv.md @@ -60,8 +60,8 @@ errors. The table below shows supported name configurations for this driver: -For data type support, refer to [data types](https://oneapi-src.github.io/oneDNN/dev_guide_data_types.html) -and [convolution primitive](https://oneapi-src.github.io/oneDNN/dev_guide_convolution.html#data-types) +For data type support, refer to [data types](https://uxlfoundation.github.io/oneDNN/dev_guide_data_types.html) +and [convolution primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_convolution.html#data-types) documentation. | src | wei | dst | acc | cfg | diff --git a/tests/benchdnn/doc/driver_eltwise.md b/tests/benchdnn/doc/driver_eltwise.md index b77b5c165f..5ec55c6bf8 100644 --- a/tests/benchdnn/doc/driver_eltwise.md +++ b/tests/benchdnn/doc/driver_eltwise.md @@ -14,7 +14,7 @@ where *eltwise-knobs* are: - `--tag={nchw [default], ...}` -- physical src and dst memory layout. Refer to [tags](knobs_tag.md) for details. - `--alg={RELU [default], ...}` -- dnnl_eltwise algorithm. Refer to - [eltwise primitive](https://oneapi-src.github.io/oneDNN/dev_guide_eltwise.html) + [eltwise primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_eltwise.html) for details. - `--alpha=FLOAT` -- float value corresponding to algorithm operation. Refer to ``Floating point arguments`` below. diff --git a/tests/benchdnn/doc/driver_gnorm.md b/tests/benchdnn/doc/driver_gnorm.md index 392aae1a0b..80351b4ec0 100644 --- a/tests/benchdnn/doc/driver_gnorm.md +++ b/tests/benchdnn/doc/driver_gnorm.md @@ -19,7 +19,7 @@ where *gnorm-knobs* are: `G` is dnnl_use_global_stats; `C` is dnnl_use_scale; `H` is dnnl_use_shift; - Refer to [group normalization primitive](https://oneapi-src.github.io/oneDNN/dev_guide_group_normalization.html) + Refer to [group normalization primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_group_normalization.html) for details. - `--inplace=BOOL` -- memory mode for the primitive. If `true`, it uses input memory as output, otherwise, input and output are separate. diff --git a/tests/benchdnn/doc/driver_lnorm.md b/tests/benchdnn/doc/driver_lnorm.md index d87ea51f11..7b249b20da 100644 --- a/tests/benchdnn/doc/driver_lnorm.md +++ b/tests/benchdnn/doc/driver_lnorm.md @@ -22,7 +22,7 @@ where *lnorm-knobs* are: `G` is dnnl_use_global_stats; `C` is dnnl_use_scale; `H` is dnnl_use_shift; - Refer to [layer normalization primitive](https://oneapi-src.github.io/oneDNN/dev_guide_layer_normalization.html) + Refer to [layer normalization primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_layer_normalization.html) for details. - `--inplace=BOOL` -- memory mode for the primitive. If `true`, it uses input memory as output, otherwise, input and output are separate. diff --git a/tests/benchdnn/doc/driver_lrn.md b/tests/benchdnn/doc/driver_lrn.md index 1b1fd53f57..920c59cd40 100644 --- a/tests/benchdnn/doc/driver_lrn.md +++ b/tests/benchdnn/doc/driver_lrn.md @@ -16,7 +16,7 @@ where *lrn-knobs* are: - `--alg={ACROSS [default], WITHIN}` -- lrn algorithm. `ACROSS` is dnnl_lrn_across_channels; `WITHIN` is dnnl_lrn_within_channel; - Refer to [LRN primitive](https://oneapi-src.github.io/oneDNN/dev_guide_lrn.html) + Refer to [LRN primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_lrn.html) for details. - `--mb=INT` -- override minibatch size specified in the problem description. When set to `0`, use minibatch size as defined by the individual @@ -36,7 +36,7 @@ size value and accepts integer X values. The default is `5`. `alphaF` stands for LRN alpha scale and accepts float F values. The default is `1.f / 8192`. `betaF` stands for LRN beta power and accepts float F values. The default is `0.75f`. `kF` stands for LRN k shift and accept float F values. The default is `1.f`. -Refer to [LRN primitive](https://oneapi-src.github.io/oneDNN/dev_guide_lrn.html) +Refer to [LRN primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_lrn.html) for details. ## Essence of Testing diff --git a/tests/benchdnn/doc/driver_pool.md b/tests/benchdnn/doc/driver_pool.md index 015dca421e..f131d433e9 100644 --- a/tests/benchdnn/doc/driver_pool.md +++ b/tests/benchdnn/doc/driver_pool.md @@ -23,7 +23,7 @@ where *pool-knobs* are: dnnl_pooling_avg_exclude_padding; `avg_p` or `pooling_avg_include_padding` is dnnl_pooling_avg_include_padding; - Refer to [pooling primitive](https://oneapi-src.github.io/oneDNN/dev_guide_pooling.html) + Refer to [pooling primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_pooling.html) for details. - `--mb=INT` -- override minibatch size specified in the problem description. When set to `0`, use minibatch size as defined by the individual diff --git a/tests/benchdnn/doc/driver_reduction.md b/tests/benchdnn/doc/driver_reduction.md index e662d78026..0f9eccc5b1 100644 --- a/tests/benchdnn/doc/driver_reduction.md +++ b/tests/benchdnn/doc/driver_reduction.md @@ -16,7 +16,7 @@ where *reduction-knobs* are: - `--dtag={any [default], ...}` -- physical dst memory layout. Refer to [tags](knobs_tag.md) for details. - `--alg={sum [default], ...}` -- algorithm for reduction operations. - Refer to [reduction primitive](https://oneapi-src.github.io/oneDNN/dev_guide_reduction.html) + Refer to [reduction primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_reduction.html) for details. - `--p=FLOAT` -- float value corresponding to algorithm operation. Refer to ``Floating point arguments`` below. diff --git a/tests/benchdnn/doc/driver_resampling.md b/tests/benchdnn/doc/driver_resampling.md index 27f2279135..712b4b94c5 100644 --- a/tests/benchdnn/doc/driver_resampling.md +++ b/tests/benchdnn/doc/driver_resampling.md @@ -18,7 +18,7 @@ where *resampling-knobs* are: - `--alg={nearest [default], linear}` -- resampling algorithm. `nearest` or `resampling_nearest` is dnnl_resampling_nearest; `linear` or `resampling_nearest` is dnnl_resampling_linear; - Refer to [resampling primitive](https://oneapi-src.github.io/oneDNN/dev_guide_resampling.html) + Refer to [resampling primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_resampling.html) for details. - `--mb=INT` -- override minibatch size specified in the problem description. When set to `0`, use minibatch size as defined by the individual diff --git a/tests/benchdnn/doc/driver_rnn.md b/tests/benchdnn/doc/driver_rnn.md index 530c207896..dd3587d977 100644 --- a/tests/benchdnn/doc/driver_rnn.md +++ b/tests/benchdnn/doc/driver_rnn.md @@ -47,7 +47,7 @@ where *rnn-knobs* are: - `--flags=[|O]` -- RNN flags, default `undef` (no flags); where multiple simultaneous flags are supported. `O` is dnnl_rnn_flags_diff_weights_overwrite; - Refer to [RNN primitive](https://oneapi-src.github.io/oneDNN/dev_guide_rnn.html) for details. + Refer to [RNN primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_rnn.html) for details. - Any attributes options. Refer to [attributes](knobs_attr.md) for details. and *rnn-desc* is a problem descriptor. The canonical form is: diff --git a/tests/benchdnn/doc/driver_softmax.md b/tests/benchdnn/doc/driver_softmax.md index 04e7a097ce..536a6dcd43 100644 --- a/tests/benchdnn/doc/driver_softmax.md +++ b/tests/benchdnn/doc/driver_softmax.md @@ -20,7 +20,7 @@ where *softmax-knobs* are: - `--alg={SOFTMAX [default], LOGSOFTMAX}` -- softmax algorithm. `SOFTMAX` or `softmax_accurate` is `dnnl_softmax_accurate`; `LOGSOFTMAX` or `softmax_log` is `dnnl_softmax_log`; - Refer to [softmax primitive](https://oneapi-src.github.io/oneDNN/dev_guide_softmax.html) + Refer to [softmax primitive](https://uxlfoundation.github.io/oneDNN/dev_guide_softmax.html) for details. - `--axis=INT` -- dimension on which operation will be performed. Default is `1`, corresponds to channels in logical memory layout. diff --git a/tests/benchdnn/doc/knobs_attr.md b/tests/benchdnn/doc/knobs_attr.md index 217ef03ad5..7155e63ecc 100644 --- a/tests/benchdnn/doc/knobs_attr.md +++ b/tests/benchdnn/doc/knobs_attr.md @@ -20,7 +20,7 @@ ## --attr-scratchpad `--attr-scratchpad` specifies the scratchpad mode to be used for benchmarking. `MODE` values can be `library` (the default) or `user`. Refer to -[scratchpad primitive attribute](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_scratchpad.html) +[scratchpad primitive attribute](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_scratchpad.html) for details. ## --attr-fpmath @@ -29,7 +29,7 @@ for details. or `any`. `APPLY_TO_INT` values can be either `true` (the default) or `false`. Refer to -[fpmath primitive attribute](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_fpmath_mode.html) +[fpmath primitive attribute](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_fpmath_mode.html) for details. @@ -37,7 +37,7 @@ for details. `--attr-acc-mode` specifies the accumulation mode to be used for benchmarking. `ACCMODE` values can be any of `strict` (the default), `relaxed`, `any`, `f32`, `s32` or `f16`. Refer to -[accumulation mode primitive attribute](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_accumulation_mode.html) +[accumulation mode primitive attribute](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_accumulation_mode.html) for details. ## --attr-rounding-mode @@ -48,14 +48,14 @@ for details. - `diff_weights` corresponds to `DNNL_ARG_DIFF_WEIGHTS`. `MODE` specifies which mode to apply to the corresponding memory argument. Supported values are: `environment` (default) and `stochastic`. Refer -to [rounding mode primitive attribute](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_rounding_mode.html) +to [rounding mode primitive attribute](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_rounding_mode.html) for details. ## --attr-deterministic `--attr-deterministic` specifies the deterministic mode to be used for benchmarking. `BOOL` values can be `true`, which enables the deterministic mode and `false` (the default), which disables it. Refer to -[deterministic primitive attribute](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_deterministic.html) +[deterministic primitive attribute](https://uxlfoundation.github.io/oneDNN/dev_guide_attributes_deterministic.html) for details. ## --attr-dropout diff --git a/tests/benchdnn/ip/ip.cpp b/tests/benchdnn/ip/ip.cpp index 97edb43f71..054d7022dc 100644 --- a/tests/benchdnn/ip/ip.cpp +++ b/tests/benchdnn/ip/ip.cpp @@ -137,7 +137,7 @@ int check_reorder_presence( /* Note for x64: Both data types of src and weight are s8, oneDNN addds 128 to one of the s8 input to make it of type u8 instead, as explained in - https://oneapi-src.github.io/oneDNN/dev_guide_int8_computations.html or + https://uxlfoundation.github.io/oneDNN/dev_guide_int8_computations.html or doc/advanced/int8_computations.md It is because `VPDPBUSD` instruction uses the combination of s8 and u8 as input. diff --git a/tests/benchdnn/softmax/softmax.cpp b/tests/benchdnn/softmax/softmax.cpp index ecc94d5f17..d1cf0524ac 100644 --- a/tests/benchdnn/softmax/softmax.cpp +++ b/tests/benchdnn/softmax/softmax.cpp @@ -243,7 +243,7 @@ void setup_cmp(compare::compare_t &cmp, const prb_t *prb, data_kind_t kind, #if DNNL_AARCH64 || defined(DNNL_SYCL_HIP) || defined(DNNL_SYCL_CUDA) // MIOpen and ACL softmax accumulate in F16, but oneDNN now expects accumulation in // F32, this partially reverts 6727bbe8. For more information on ACL softmax, see - // https://github.com/oneapi-src/oneDNN/issues/1819 + // https://github.com/uxlfoundation/oneDNN/issues/1819 // Similarly, for bf16 on AArch64, the relaxed threshold is necessary due to // minor accuracy drops observed compared to f32 const float trh = trh_f32; diff --git a/tests/benchdnn/utils/parser.cpp b/tests/benchdnn/utils/parser.cpp index cbcb8cbc61..2c4852e7a6 100644 --- a/tests/benchdnn/utils/parser.cpp +++ b/tests/benchdnn/utils/parser.cpp @@ -30,7 +30,7 @@ const size_t eol = std::string::npos; std::stringstream help_ss; static const std::string benchdnn_url - = "https://github.com/oneapi-src/oneDNN/blob/master/tests/benchdnn"; + = "https://github.com/uxlfoundation/oneDNN/blob/master/tests/benchdnn"; static const std::string doc_url = benchdnn_url + "/doc/"; namespace parser_utils { @@ -549,8 +549,8 @@ bool parse_encoding(std::vector &sparse_options, static const std::string help = "ENCODING[+SPARSITY]:ENCODING[+SPARSITY]:ENCODING[+SPARSITY]\n " "Specifies sparse encodings and sparsity.\n More details at " - "https://github.com/oneapi-src/oneDNN/blob/master/tests/benchdnn/" - "doc/knobs_encoding.md\n"; + "https://github.com/uxlfoundation/oneDNN/blob/master/tests/" + "benchdnn/doc/knobs_encoding.md\n"; std::vector def {sparse_options_t()}; auto parse_sparse_options_func = [](const std::string &s) { @@ -594,8 +594,8 @@ bool parse_attr_post_ops(std::vector &po, const char *str, "is one of those:\n * SUM[:SCALE[:ZERO_POINT[:DATA_TYPE]]]\n " " * ELTWISE[:ALPHA[:BETA[:SCALE]]]\n * DW:KkSsPp[:DST_DT]\n " " * BINARY:DT[:MASK_INPUT[:TAG]]\n More details at " - "https://github.com/oneapi-src/oneDNN/blob/master/tests/benchdnn/" - "doc/knobs_attr.md\n"; + "https://github.com/uxlfoundation/oneDNN/blob/master/tests/" + "benchdnn/doc/knobs_attr.md\n"; std::vector def {attr_t::post_ops_t()}; return parse_vector_option(po, def, parser_utils::parse_attr_post_ops_func, str, option_name, help); @@ -606,8 +606,8 @@ bool parse_attr_scales(std::vector &scales, static const std::string help = "ARG:POLICY[:SCALE][+...]\n Specifies input scales " "attribute.\n More details at " - "https://github.com/oneapi-src/oneDNN/blob/master/tests/benchdnn/" - "doc/knobs_attr.md\n"; + "https://github.com/uxlfoundation/oneDNN/blob/master/tests/" + "benchdnn/doc/knobs_attr.md\n"; return parse_subattr(scales, str, option_name, help); } @@ -616,8 +616,8 @@ bool parse_attr_zero_points(std::vector &zp, static const std::string help = "ARG:POLICY[:ZEROPOINT][+...]\n Specifies zero-points " "attribute.\n More details at " - "https://github.com/oneapi-src/oneDNN/blob/master/tests/benchdnn/" - "doc/knobs_attr.md\n"; + "https://github.com/uxlfoundation/oneDNN/blob/master/tests/" + "benchdnn/doc/knobs_attr.md\n"; return parse_subattr(zp, str, option_name, help); } @@ -1461,7 +1461,7 @@ bool parse_bench_settings(const char *str) { help_ss << "= Global options: =\n"; help_ss << "===================\n"; help_ss << "(More technical details available at " - "https://github.com/oneapi-src/oneDNN/blob/master/tests/" + "https://github.com/uxlfoundation/oneDNN/blob/master/tests/" "benchdnn/doc/knobs_common.md)\n\n"; start_msg = true; } @@ -1486,7 +1486,7 @@ bool parse_bench_settings(const char *str) { help_ss << "= Driver options: =\n"; help_ss << "===================\n"; help_ss << "(More technical details available at " - "https://github.com/oneapi-src/oneDNN/blob/master/tests/" + "https://github.com/uxlfoundation/oneDNN/blob/master/tests/" "benchdnn/doc/driver_" << driver_name << ".md)\n\n"; end_msg = true; diff --git a/tests/gtests/test_iface_attr.cpp b/tests/gtests/test_iface_attr.cpp index 23e091b1c9..419db5b83c 100644 --- a/tests/gtests/test_iface_attr.cpp +++ b/tests/gtests/test_iface_attr.cpp @@ -793,7 +793,7 @@ HANDLE_EXCEPTIONS_FOR_TEST_F(attr_test_t, TestGetCppObjects) { // of using a dangling pointer from destroyed object via // `pd.get_primitive_attr().get_post_ops()` construction as attributes will // be destroyed once post-ops are saved on stack. - // See https://github.com/oneapi-src/oneDNN/issues/1337 for details. + // See https://github.com/uxlfoundation/oneDNN/issues/1337 for details. dnnl::primitive_attr attr; dnnl::post_ops ops; memory::desc po_src1_md({1, 1, 1, 1}, data_type::f32, tag::abcd);