- 17 Jun, 2022 1 commit
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Qianfeng authored
* Remove template from Reducton operation classes and add template to their operator() and GetIdentityValue() interfaces * Change to unary elementwise operators and the reduce_unary_operator (class for mapping) and dependent variations in all host layers * Remove the data type template parameter from reduce_binary_operator (class for mapping) and dependent variations in host layers * Add InMemoryDataOperatonSupportedOnDataType to check the matching between data type and InMemoryDataOperation * Use struct-scope operator template instantiation for binary and unary element-wise operations * Change a few more elementwise operations to use template for operator() * Tiny correction in Normalize operator * Add static_assert to check the data type appliability for some reduction accumulator and element-wise operatons * Correction in some examples with regard to using ReduceAccDataType * Use static_assert for UnaryDivide * Update to merged codes to use Element-wise operations and Reduction Accumulator operations correctly * Tiny fix with regard to SetWorkSpacePointer()
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- 31 May, 2022 1 commit
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myamlak authored
* Reference CGEMM + test stub * Format. * Incomplete simple implementation * Library instances * Sketch of tests * Test fixes. * Example added * Cosmetics * Add elementwise operation kernel and example * Add comment * Add template argument of dim . Prepare to support multiple dimension * Rename example * Support 1 dimension * Add static assert * Add comment * Second auxiliary buffer added * Extract pad * Remove redundant argument * Support any dimension for elementwise operation * Remove line * Let it be the multiple number of CU * Move thread per block to the parameter of constructor * Consuming binary ops to do A+B / A-B * Fix + cosmetics + bf16 test commented out temporarily * Format * Enabling bf16 test * Revert "Enabling bf16 test" This reverts commit f497e2ba441cd38cef062839391ae9fefefdb722. * Fix + test reenabled * fix build * Revert "fix build" This reverts commit d73102384bfbb609e487d6d0cd04a3c8c9c4ec9e. * post PR #235 merge fix * amend * Single workspace for cgemm + helper * Perf calc fix * Review remarks: static_cast * Review remarks: binary ops templated * Cleaning * Removal of instances and their tests * Review remarks from aosew addressed * Review remark: unnecessary attribute * Post-merge fixes * Restrict 4gemm to PassThrough + bug fix * Review remarks * update licence * change cgemm example to fp16 Co-authored-by:
rocking <chunylai@amd.com> Co-authored-by:
Chao Liu <chao.liu2@amd.com> Co-authored-by:
Anthony Chang <ac.chang@outlook.com>
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- 25 May, 2022 1 commit
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rocking5566 authored
* Support different length of ScalarPerVector * Add example of broadcast on fastest axis * Typo * Refine fastest example * Add dimension check * Modify fastest broadcast example to 3d * Enforce users give scalarPerVector explicitely * 1. Add CscalarPerVedctor 2. Not only broadcast on fastest need to set scalarPerVector to 1 * Rename var * Move IsScalarPerVectorValid() inside IsSupportedArgument() * Separate GridDesc_M0 into A, B and C * rename var * Rename var of length Co-authored-by:
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- 20 May, 2022 1 commit
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rocking5566 authored
* Use vector constructor instead * Fix typo * Move blockSize to the MakeArgumentPointer * Fix naming * Fix clang format * remove blockSize from DeviceBinaryElementwise::Argument() Co-authored-by:
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- 19 May, 2022 1 commit
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rocking5566 authored
* Add elementwise operation kernel and example * Add comment * Add template argument of dim . Prepare to support multiple dimension * Rename example * Support 1 dimension * Add static assert * Add comment * Extract pad * Remove redundant argument * Support any dimension for elementwise operation * Remove line * Let it be the multiple number of CU * Move thread per block to the parameter of constructor * rename threadPerBlock with blockSize * Support double * rename kernel function name * remove redundant include header * Refine type * Need to the final dimension * Refine variable name * Refine type * Use index_t instead of int in API Co-authored-by:
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