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28404e6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # 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 quantization 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_per_block import fp8_per_block_quant_triton
from .fp8_per_token_group import fp8_per_token_group_quant_triton
# else:
# # PyTorch fallback implementations
# from .fp8_per_block_torch import (
# fp8_per_block_quant_torch as fp8_per_block_quant_triton,
# )
# from .fp8_per_token_group_torch import (
# fp8_per_token_group_quant_torch as fp8_per_token_group_quant_triton,
# )
# Also export PyTorch versions directly for explicit use
from .fp8_per_block_torch import fp8_per_block_quant_torch
from .fp8_per_token_group_torch import fp8_per_token_group_quant_torch
__all__ = [
"fp8_per_token_group_quant_triton",
"fp8_per_block_quant_triton",
"fp8_per_block_quant_torch",
"fp8_per_token_group_quant_torch",
]
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