- 30 9月, 2022 1 次提交
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由 sneaxiy 提交于
* support pure bfloat16 * support bf16 linear * update PR to pass CI * tiny fix where_grad_kernel.cu * add bfloat16 to selu_grad to pass CI * fix selu grad compilation error
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- 28 9月, 2022 1 次提交
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由 Chen Weihang 提交于
* remove needless using tensor * remove needless using tensor * resolve conflict * replace tensor using * fix format error * revert needless changing * fix rocm and npu compile error * fix cinn compile error * fix format error * fix mkldnn format error * fix mkldnn format error * fix cinn compile error * fix cinn compile error * fix cinn compile error * resolve conflict
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- 08 9月, 2022 1 次提交
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由 sneaxiy 提交于
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- 07 9月, 2022 1 次提交
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由 Wilber 提交于
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- 01 9月, 2022 1 次提交
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由 Leo Chen 提交于
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- 01 8月, 2022 1 次提交
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由 Leo Chen 提交于
* remove cudaDeviceContext * remove more template * fix rocm compile * remove alias name CUDADeviceContext * fix compile * fix tests * revert changes
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- 28 6月, 2022 1 次提交
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由 sneaxiy 提交于
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- 26 6月, 2022 1 次提交
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由 Sing_chan 提交于
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- 01 6月, 2022 1 次提交
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由 sneaxiy 提交于
* support weight transpose * add ut * add template * fix transpose error * fix transpose_comment * add api tests * add skipif * add doc
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- 22 4月, 2022 1 次提交
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由 Ming-Xu Huang 提交于
* Fix leading dimension setting error in fused_gemm_epilogue_grad_op. * Add dyload to cuBlasLt functions. * Added cublasLtMatmulAlgoGetHeuristic to improve performance. * Added FLAGS_cublaslt_exhaustive_search_times to cublasLt epilogue * Added UTs to FLAGS_cublaslt_exhaustive_search_times * Added warmup runs in algo searching of Gemm epilogue. * Update copyright and documents. * Fixed error handling.
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- 07 3月, 2022 1 次提交
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由 Ming-Xu Huang 提交于
* Added cuBlasLtHandle_t to device context. * Added fused_gemm_epilogue op. 1. Added fused_gemm_epilogue op to leverage cuBlastLt Epilogue. 2. Support fusion Act(X*Y + bias), X'dims >=2 and Y'dims shoule be 2. 2. Act currently only be supported ReLU. (Will add GeLU in the future). * Added UT to fused_gemm_epilogue op. * Added LinearAct Pattern 1. Added LinearAct into graph_pattern_detector.* to define (2.)'s pattern. 2. LinearAct is used to detect act(element_add(matmul_v2(x, w), bias)). 3. act currently only support ReLU (Will support GeLU in the future). * Added FuseGemmEpiloguePass 1, Added FuseGemmEpiloguePass to handle nn.Linear + Act{ReLU} fusion (GeLU will be supported in the future). 2. Only support matmul_v2 from nn.Linear. * Added pybind to BuildStrageter.fuse_gemm_epilogue_. * Added UT for fuse_gemm_epilogue_pass. * GeLU support and EpilogueSingleton 1. Added GeLU support to fused_gemm_epilogue op. 2. Added EpilogueSingleton to cache auxiliary pointer. 3. Added related UTs. * Rename cublaslt_epilogue_opto gemm_epilogue_op.*. * Added both train and infer pattern to LinearAct. 1. Added support of fwd graph with grap_ops linking to LinearAct. 2. Added related changes to fuse_gemm_epilogue_pass for above modification. * Changed CUDA requirement from 11.4 to 11.6 for fuse_gemm_epilogue_pass. * Added identity activation support to gemm_epilogue_op. * Added Linear Fusion (matmul_v2 + ele_add) 1. Added matmul_v2 + ele_add pattern to LinearActPattern. 2. Added matmul_v2 + ele_add support to fuse_gemm_epilogue_pass. * Rename gemm_epilogue_op.* to fused_gemm_epilogue_op.* * Add fused_gemm_epilogue_grad op. 1. Added fused_gemm_epilogue_grad to support backward epilogue fusion. * Add UTs to fused_gemm_epilogue_grad_op. * Change attribute name in fused_gemm_epilogue_grad_op for clearing. * Allow DX and DBias be dispensable to fused_gemm_epilogue_grad op. * Added ElementwiseAdd+Matmul+Act graph pattern detection. * Fuse backward of Linear( Act(x)) 1. Added backward fusion pass to Linear( Act(x)). 2. Added backward fusion pass to Linear(x). * Added UTs to backward fusion of Linear(Act(x)). * Complete document of arguments to fused_gemm_epilogue_op. * Made arguments of some functions pass by reference. * Modify code with review comments. 1. Made arguments of some function pass by reference. 2. Removed redundant code. 3. Followed Google code style to change code. * Made 'const' code style be consistent * Fixed random seed of python UTs. * Set Compiling constrains to cuBlasLt 1. Require CUDA 11.6+ 2. Remove fuse_gemm_epilogue related tests when CUDA < 11.6. * Code Reivew from Paddle 1. Changed arguments name is_first_gemm to without_x_gradient for clearing. 2. Applied PADDLE_THROW in fused_gemm_epilogue_op. * Remove EpilogueSingleton 1. Applied ReserveSpace to replace Epilogue for passing auxiliary pointers between FWD and BWD. * Fix a logical error and enhance UTs. 1. Added act op count checking in UTs. 2. Fix issue to fuse backward or ReLU(Linear(X)). 3. TODO: solve GELU fusion issues. * Fix Linear and GeLU fusion issues. 1. Modified graph_detech_pattern to fit with both linear wiht gelu or relu. 2. Modified data range in Uts to allow negative values. * Removed fused_gemm_epilogue_op.h. * Rename namespace pten to phi. * Rename name of arguments in fused_gemm_epilogue_op 1. bias -> Bias. 2. out -> Out. 3. reserve_space -> ReserveSpace. * Change EpiloguePassActivationCache as local variable. 1. Removed singleton in EpiloguePassActivationCache. 2. Made EpiloguePassActivationCache as an argument to each pass functions.
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