mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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32 lines
1.2 KiB
32 lines
1.2 KiB
from ...cuda_extension import _CudaExtension |
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from ...utils import get_cuda_cc_flag |
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class InferenceOpsCudaExtension(_CudaExtension): |
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def __init__(self): |
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super().__init__(name="inference_ops_cuda") |
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def sources_files(self): |
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ret = [ |
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self.csrc_abs_path(fname) |
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for fname in [ |
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"kernel/cuda/decode_kv_cache_memcpy_kernel.cu", |
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"kernel/cuda/context_kv_cache_memcpy_kernel.cu", |
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"kernel/cuda/fused_rotary_emb_and_cache_kernel.cu", |
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"kernel/cuda/activation_kernel.cu", |
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"kernel/cuda/rms_layernorm_kernel.cu", |
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"kernel/cuda/get_cos_and_sin_kernel.cu", |
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"kernel/cuda/flash_decoding_attention_kernel.cu", |
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"kernel/cuda/convert_fp8_kernel.cu", |
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] |
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] + [self.pybind_abs_path("inference/inference.cpp")] |
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return ret |
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def cxx_flags(self): |
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version_dependent_macros = ["-DVERSION_GE_1_1", "-DVERSION_GE_1_3", "-DVERSION_GE_1_5"] |
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return ["-O3"] + version_dependent_macros |
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def nvcc_flags(self): |
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extra_cuda_flags = ["-lineinfo"] |
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extra_cuda_flags.extend(get_cuda_cc_flag()) |
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return ["-O3", "--use_fast_math"] + extra_cuda_flags + super().nvcc_flags()
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