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https://github.com/ROCm/composable_kernel.git
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* Adding RapidJson Library * Adding Json Dumps in all CK_Tile Examples Not verified yet * Adding json to cktile Batched Transpose * adding json dumps to layernorm2d_fwd * Adding json dump to flatmm_basic * Adding RapidJson Library * Adding Json Dumps in all CK_Tile Examples Not verified yet * Adding json to cktile Batched Transpose * adding json dumps to layernorm2d_fwd * Adding json dump to flatmm_basic * Adding json in 03_gemm * Add json dump to 16_batched_gemm * Add json dump to gemm_multi_d_fp16 * Add json dump to grouped_gemm * fix fmha_bwd/fwd * Fix clang-format errors exclude include/rapidjson in jenkins as its a third-party library * Saparating function and defination. * Update Documentation of 03_gemm * Refactoring as per code review * Disable fp8 instances on unsupported targets (#2592) * Restrict building of gemm_universal_preshuffle_f8 instances to specific targets in CMakeLists.txt * Add condition to skip gemm_xdl_universal_preshuffle_f8 instances for unsupported targets in CMakeLists.txt * Add conditions to skip unsupported targets for gemm_universal_preshuffle_f8 and gemm_xdl_universal_preshuffle_f8 instances in CMakeLists.txt * Refine conditions to exclude gemm_universal_preshuffle_f8 instances for unsupported targets in CMakeLists.txt --------- Co-authored-by: AviralGoelAMD <aviralgoel@amd.com> * fix clang format * remove duplicate lines of code from library/src/tensor_operation_instance/gpu/CMakeLists.txt * Fixing Readme and unifying jsondumps * adding moe_smoothquant * adding fused_moe * Fixing Readme for batched_gemm * Fixing Readme for grouped_gemm * adding flatmm * adding gemm_multi_d_fp16 * adding elementwise * adding File name when json is dumped * Fixing Reduce after merge * adding batched_transpose * Adding Warptile in Gemm * Fixing Clang Format --------- Co-authored-by: Aviral Goel <aviral.goel@amd.com> Co-authored-by: AviralGoelAMD <aviralgoel@amd.com> Co-authored-by: illsilin_amdeng <Illia.Silin@amd.com>
71 lines
2.5 KiB
C++
71 lines
2.5 KiB
C++
// Tencent is pleased to support the open source community by making RapidJSON available.
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//
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// Copyright (C) 2015 THL A29 Limited, a Tencent company, and Milo Yip.
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//
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// Licensed under the MIT License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// http://opensource.org/licenses/MIT
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#ifndef RAPIDJSON_MEMORYBUFFER_H_
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#define RAPIDJSON_MEMORYBUFFER_H_
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#include "stream.h"
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#include "internal/stack.h"
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RAPIDJSON_NAMESPACE_BEGIN
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//! Represents an in-memory output byte stream.
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/*!
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This class is mainly for being wrapped by EncodedOutputStream or AutoUTFOutputStream.
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It is similar to FileWriteBuffer but the destination is an in-memory buffer instead of a file.
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Differences between MemoryBuffer and StringBuffer:
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1. StringBuffer has Encoding but MemoryBuffer is only a byte buffer.
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2. StringBuffer::GetString() returns a null-terminated string. MemoryBuffer::GetBuffer() returns a buffer without terminator.
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\tparam Allocator type for allocating memory buffer.
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\note implements Stream concept
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*/
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template <typename Allocator = CrtAllocator>
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struct GenericMemoryBuffer {
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typedef char Ch; // byte
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GenericMemoryBuffer(Allocator* allocator = 0, size_t capacity = kDefaultCapacity) : stack_(allocator, capacity) {}
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void Put(Ch c) { *stack_.template Push<Ch>() = c; }
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void Flush() {}
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void Clear() { stack_.Clear(); }
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void ShrinkToFit() { stack_.ShrinkToFit(); }
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Ch* Push(size_t count) { return stack_.template Push<Ch>(count); }
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void Pop(size_t count) { stack_.template Pop<Ch>(count); }
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const Ch* GetBuffer() const {
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return stack_.template Bottom<Ch>();
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}
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size_t GetSize() const { return stack_.GetSize(); }
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static const size_t kDefaultCapacity = 256;
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mutable internal::Stack<Allocator> stack_;
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};
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typedef GenericMemoryBuffer<> MemoryBuffer;
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//! Implement specialized version of PutN() with memset() for better performance.
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template<>
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inline void PutN(MemoryBuffer& memoryBuffer, char c, size_t n) {
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std::memset(memoryBuffer.stack_.Push<char>(n), c, n * sizeof(c));
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}
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RAPIDJSON_NAMESPACE_END
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#endif // RAPIDJSON_MEMORYBUFFER_H_
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