# Copyright 2025 Tencent Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ FP8 GEMM kernels with automatic backend selection. This module automatically selects between Triton (for Linux/CUDA) and PyTorch (for Windows/CPU) implementations based on the runtime environment. """ # from angelslim.compressor._platform import use_triton # Conditional imports based on platform/backend availability # if use_triton(): from .fp8_gemm import fp8_gemm_triton_block # else: # # PyTorch fallback implementation # from .fp8_gemm_torch import fp8_gemm_torch_block as fp8_gemm_triton_block # Also export PyTorch version directly for explicit use from .fp8_gemm_torch import fp8_gemm_torch_block __all__ = ["fp8_gemm_triton_block", "fp8_gemm_torch_block"]