"parameters.py" did not exist on "33c4e784f4d0dc2cf5e90527fd44bbe161857b9e"
- 30 Aug, 2022 1 commit
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Adam Osewski authored
* GEMM + Reduce max fp16+fp32 * GEmm + Max bf16 + int8 * Refactor common definitions. * Refactor common func of mean meansquare example. * More examples for mean meansquare. * Update int8 examples and skip them cause of random errors. * Int4 examples. * Fix examples for max int4/8 * Tensor conversion for int4 input data for mean meansquare example. * Remove int4 mean_meansquare example * Fix int8 mean_meansquare example. -All ReductionAccData and R<N>DataType have to be F32. The INT32 data type is giving wrong results. * Guard int4 with ifdef * Change int8 example to add_addsquare due to div rounding err. * Clang format * Change the return type of common function. * Get back int8 example with division. * Remove int8 mean meansquare. * Use proper cast for BF16 data type. * Use ck::literals. * Use proper data type for host tensors & reference. - Use ReduceAccDataType for reference gemm output data type. - Cast host reference output tensor to EDataType - Fix ifdefs for int4. Co-authored-by:Adam Osewski <aosewski@amd.com>
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- 24 Aug, 2022 1 commit
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Po Yen Chen authored
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- 01 Jul, 2022 1 commit
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Anthony Chang authored
* dump lds content in appropriate precision type * add squared add reduction op; allows sq sum * initial stub from regular gemm impl * layernorm example code & host verification * initial layernorm implementation * tidy up * make C0 precision type consistent with C * clang-tidy and additional comments * tighten up example code * account for extra flops/bytes from normalization * clang-format * c0 bias/beta/gamma now have its own precision type * AccElemOp for gemm outputs prior to feeding to layernorm * update workgroup mapping * rename kernel template param to reflect its dual use * use LDS mem pool for reduction workspace * change cshuffle precision type to f16; clean up * clang-format * correct naming * explicit cast * fully implemented gemm + bias + activation + add + norm * activation in correct order * reflect reduction API's recent change * amend * clean up; add comment * keep up with recent changes in reduction API * format * resolve merge conflicts Co-authored-by:Chao Liu <chao.liu2@amd.com>
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- 25 Jun, 2022 2 commits
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Chao Liu authored
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Chao Liu authored
* ad gelu and fast_gelu * added GeLU and fast GeLU * clean up * add gemm+fastgelu example * add gemm+gelu instances * update profiler * clean up * clean up * adding gemm+bias+activation * clean * adding bias * clean * adding gemm multiple d * debugging * add gemm bias add fastgelu * rename, clean * refactoring; add readme * refactor * refactor * refactor * refactor * refactor * refactor * fix * fix * update example * update example * rename * update example * add ckProfiler * clean * clean * clean * clean * add client app example * update readme * delete obselete files * remove old client app * delete old file * cleaning * clean * remove half * fix header path * fix header path * fix header path * fix header path * fix header path * fix header path for all examples * fix header path * fix header path * fix header path * fix header path * fix header path * fix header path * fix header path * fix header path * fix header path * revert client app example * clean build * fix build * temporary disable client test on Jenkins * clean * clean * clean
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- 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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- 02 Jun, 2022 1 commit
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Qianfeng authored
* Use the unified naming for math functions on host and HIP kernel * Corresponding change/simplification in reduction host/profiler/examples due to unified math functions renaming * Renaming GetReductionZeroVal() to GetIdentityValue() * Tiny renaming in profile_reduce_impl.hpp * More renaming in profile_reduce_impl.hpp * Replace zeroVal by identiyVal * Remove ck_ prefix in the naming of ck::math provided functions
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- 24 May, 2022 1 commit
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Qianfeng authored
* Tiny fix in dynamic_buffer.hpp to support vectorized AtomicAdd for double type * Update to host layer and host reduction * Merge and remove reduction kernels * Merge and remove reduction device interfaces and update pooling device interface * Merge and remove useless reduction device instances * Update to reduction profiler and reduction ctests * Update to reduction and pooling examples and add one reduction example * Change to reduction examples to let them testable by ctest * Add explicit pass checking for reduction and pooling examples * Explicit assignment of tensor shapes in example reduce_blockwise_two_call * Use atomic_add to repace atomicAdd and add atomic_add for double type * Add reduce ctest support for double data type * Replace to_int_vector() by using c++ std::vector::assign() * Keep DeviceReduceThreadWise separated from DeviceReduceBlockWise * Merge DeviceReduceBlockWise and DeviceReduceMultiBlockAtomicAdd into DeviceReduceMultiBlock * Add GetAtomicOperationZeroValue() support for AtomicMax * Tiny change to reduce example README.md * Fix some tiny issues due to branch merging * Revoke previous change in dynamic_buffer.hpp and add atomic_add for double2_t * Add reduce multiblock_atomic_add instances for fp64 to verify vectorized atomic_add on fp64 * Renaming * Clean the header includings in device_reduce instances header files
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- 09 Mar, 2022 1 commit
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Chao Liu authored
* delete obselete files * move files * build * update cmake * update cmake * fix build * reorg examples * update cmake for example and test
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- 05 Mar, 2022 1 commit
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Qianfeng authored
* Initial adding of generic reduction * Initial adding of generic reduction ... * Updates to make compiling done * clang-format all files * clang-format some files again * Renaming in profiler/include/profile_reduce.hpp * Updates and make BlockWise cases passed * Updates and make ThreadWise and MultiBlockTwoCall cases passed * Remove the support for MUL and NORM1 reduceOp from the profiler and the device instances * Change to replace the dim0_max_vector_size/dim1_max_vector_size template argument in the device reduce classes * format * adding pooling * added max and average pooling * comment out cout and kernel timing * Tiny simplification in profiler/reduce_profiler.cpp * Add example for reduce_blockwise * Tiny updates * Change to pass the ElementWiseOp from device layer to kernel * Fix the vectorDim and vectorSize in Device layer * Enable vector load on both dim0 and dim1 for Threadwise method * Tiny updates * Change to let the user to pass the preUnaryOp and posUnaryOp * Make pooling example work * split device_reduce_instance into two libraries * Tiny update * Replace nanPropaOpt enum by boolean propagate_nan * Simplification in DeviceReduce layer codes * update build * Change to clarify the difference between ck::half_t and half_float::half * Renaming in all the reduction codes * Add VectorSize as template parameter for device layer * Add BetaIsZero as kernel template and as AccDataType for alpha * print * Small updates for pooling * Updates for host_generic_reduction for reference * Update to make AVG pooling pass * Update to make MAX pooling with indices output pass * fix * add OutDst vector store to threadwise reduction and pooling * tweak * turn off check_indices that caused build issue * refactor pooling * clean up * turn off check_indices for building issue for php-compiler * add more tile size for odd C * tweak conv for odd C * update script * clean up elementwise op * add hack in reduction_operator.hpp to avoid compile error. To fix it, need to use element_wise_op in reduction op * Add OutVectorSize as device and kernel tunable, also update to Elementwise Operations * Move reduce operator mapping to host layer file reduction_operator_mapping.hpp from reduction_operator.hpp * Change to the unary operators * Move the definitions of unary operations to element_wise_operation.hpp * re-org files * Refine in device interfaces and multiblock kernels * Split the reduction configurations into instances for specific methods * Update in getTypeString() of device pool2d * Renaming in host and kernel * Tiny update in profiler/src/profiler.cpp * Uncomment in device_operation/CMakeLists.txt to enable the building of all operations * Make check_indices a templated function to remove some linking issue * Renaming in the profiler reduce module * Add support for double Reduction (but disable MultiblockAtomicAdd for double) * Tiny correction of literal string * Rename DevicePoolFwd to DevicePool2dFwd * Split device_reduce_instance_xxx.cpp files according to the data types to speed up compiling * Add comments for lists of configurations, lists of instances and references of add_reduce_instances_xxx * Remove un-used header file gridwise_generic_reduction_wrapper_common.hpp * Renaming and refining in the Reduction codes * Tiny change in the unary operators * Renaming symbols and files * Renaming symbols in the kernels * Move kernel kernel_set_buffer_value to separate file * Add IndexDataType template parameter for kernels and use int32_t as index data type in device layer * Tiny update in the kernels * Remove definition of sqrtf()/isnan()/abs() for half_t due to some ADL issue * Simplify a helper function in device layer * Tiny adjustment in testing data initialization * Renaming in kernel/device/host * Add two testing scripts for reduction * Refine the Unary operators in element_wise_operation.hpp * Update in the reduce profiler module * Update to the reduction testing scripts * reduce compile parallelism * change CI docker to rocm5.0 * remove unused variables * fix build Co-authored-by:
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- 16 Nov, 2021 1 commit
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zjing14 authored
* fixed bfloat16 issues * refactor type_convert Co-authored-by:
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- 06 Oct, 2021 1 commit
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Qianfeng authored
* Tiny fix in using data type template parameters in blockwise and direct_threadwise kernel * Fix with regard to implementing GetZeroVal() in both kernel and host * Avoid convert to compType from dstDataType before writting the output value * Add half_t support to NumericLimits and make constexpr GetZeroVal() of binary operator * Add CONSTANT decorator for descriptor read buffer * Use get_thread_local_1d_id() for thread local Id * Rename GetZeroVal() to GetReductionZeroVal() in the kernels * Remove constexpr from initialized zeroVal and tiny fix in reduction_operator.hpp * Occasional tiny simplification and update in the kernel files * Update to re-order tensor dimensions on the host, split second_call kernel wrapper files and simplify reduce_all kernel wrappers * Update to remove OpenCL tidy checking failures * Update for better readability * Remove unused codes and not-needed template parameters in the kernel wrappers Co-authored-by:
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- 29 Sep, 2021 1 commit
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Qianfeng authored
* Squashed 'src/composable_kernel/' content from commit f6edda61 git-subtree-dir: src/composable_kernel git-subtree-split: f6edda61 * add solver ConvIgemmFwdV6r1DlopsNchwKcyxNkhw; rename static ck source files * Squashed 'src/composable_kernel/' changes from f6edda61..5781adf5 5781adf5 Update develop (#5) (#6) 97e6d514 Merge pull request #4 from ROCmSoftwarePlatform/separate_online_compile 7b1ec41e refactor 49c33aae refactor 54b3e73d rename git-subtree-dir: src/composable_kernel git-subtree-split: 5781adf5 * fix * refactor * remove online compilation from CK * refactor * fix * add ctest * tidy * add tidy * tidy * tidy * tidy * tidy * tidy * tidy * tidy * tidy * tidy * add c-style pointer cast * vector/scalar pointer cast use c-style pointer cast instead of reinterpret_cast * fix clang warning suppression * tidy * suppress cppcheck * fix enum issue * revert chagnes to hip build * fix kernel filename * update CK build script * rename * rename * make innner product compatiable on gfx900 * Update src/include/miopen/solver/ck_utility_common.hpp Co-authored-by:
JD <Jehandad.Khan@amd.com> * compiler parameter use stream * use int instead of index_t in kernel wrapper * DynamicBuffer, StaticBuffer, amd_buffer_load support customized value for invalid element * refactor * refactor * change cmakelist * change ck common utility * fix * Squashed 'src/composable_kernel/' changes from 5781adf5..31b40352 31b40352 Merge pull request #16 from ROCmSoftwarePlatform/develop b62bf8c3 Merge pull request #14 from ROCmSoftwarePlatform/miopen_downstream_init_integration ccc4a1d3 Merge pull request #8 from ROCmSoftwarePlatform/miopen_downstream_init_integration 67ad47e7 refactor 16effa76 refactor a91b68df DynamicBuffer, StaticBuffer, amd_buffer_load support customized value for invalid element 2cbabbba use int instead of index_t in kernel wrapper 0834bc76 compiler parameter use stream f2ac7832 make innner product compatiable on gfx900 4e57b30a rename c03045ce rename b2589957 update CK build script 2c48039d fix kernel filename d626dccc fix enum issue 643ebd4f tidy ddd49ec9 fix clang warning suppression 4f566c62 vector/scalar pointer cast use c-style pointer cast instead of reinterpret_cast 172036d7 add c-style pointer cast 76f31319 tidy d1842890 tidy f885c131 tidy 80120f0a tidy c3efeb5e tidy 56fc0842 tidy 54fba515 tidy e62bae7a tidy 24c87289 add tidy 61487e0a fix ae98b52a remove online compilation from CK cb954213 refactor 73ca9701 Merge commit '437cc595c6e206dfebb118985b5171bbc1e29eab' into composable_kernel_init_integration_v3 3b866461 Merge pull request #7 from ROCmSoftwarePlatform/master d09ea4f4 Update develop (#5) 3d32ae94 add solver ConvIgemmFwdV6r1DlopsNchwKcyxNkhw; rename static ck source files git-subtree-dir: src/composable_kernel git-subtree-split: 31b40352 * Tiny fix in using data type template parameters in blockwise and direct_threadwise kernel * Fix with regard to implementing GetZeroVal() in both kernel and host * Avoid convert to compType from dstDataType before writting the output value * Add half_t support to NumericLimits and make constexpr GetZeroVal() of binary operator * Add CONSTANT decorator for descriptor read buffer * Use get_thread_local_1d_id() for thread local Id * Rename GetZeroVal() to GetReductionZeroVal() in the kernels * Remove constexpr from initialized zeroVal and tiny fix in reduction_operator.hpp * Occasional tiny simplification and update in the kernel files * Update in src/reducetensor.cpp for consistent IDs passing to the kernel * Update to re-order tensor dimensions on the host, split second_call kernel wrapper files and simplify reduce_all kernel wrappers * Update to remove OpenCL tidy checking failures * Small updates in src/reducetensor.cpp * Update for better readability * Remove unused codes and not-needed template parameters in the kernel wrappers Co-authored-by:
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- 27 Aug, 2021 1 commit
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Qianfeng authored
* add solver ConvIgemmFwdV6r1DlopsNchwKcyxNkhw; rename static ck source files * make inner product compatible on gfx900 * Update src/include/miopen/solver/ck_utility_common.hpp * compiler parameter use stream * use int instead of index_t in kernel wrapper * DynamicBuffer, StaticBuffer, amd_buffer_load support customized value for invalid element * Add dynamic generic reduction kernel layer (kernel wrappers, kernel implementations and utilities) * Some updates to dynamic composable kernel facility for the need of dynamic generic reduction * Update to generic reduction C++ host interface layer to support dynamic generic reduction * Update to remove tidy complaints in host interface layer * Change the unary operator form from void op(T &x) to T op(T x) * Update to pass single workspace pointer for all kernels (fix for OpenCL backend) * Use cppcheck-suppress to prevent some strange warnings * Re-use operator [] and () for DynamicBuffer and update to depending codes * Remove useless codes in first call threadwise/warpwise/blockwise kernel wrappers * [performance] Remove un-needed local buffer initialization Co-authored-by:
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