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- from .builder import CUDAOpBuilder
- class InferenceBuilder(CUDAOpBuilder):
- BUILD_VAR = "DS_BUILD_TRANSFORMER_INFERENCE"
- NAME = "transformer_inference"
- def __init__(self, name=None):
- name = self.NAME if name is None else name
- super().__init__(name=name)
- def absolute_name(self):
- return f'deepspeed.ops.transformer.inference.{self.NAME}_op'
- def sources(self):
- return [
- 'csrc/transformer/inference/csrc/pt_binding.cpp',
- 'csrc/transformer/inference/csrc/gelu.cu',
- 'csrc/transformer/inference/csrc/normalize.cu',
- 'csrc/transformer/inference/csrc/softmax.cu',
- 'csrc/transformer/inference/csrc/dequantize.cu',
- 'csrc/transformer/inference/csrc/apply_rotary_pos_emb.cu',
- 'csrc/transformer/inference/csrc/transform.cu',
- ]
- def extra_ldflags(self):
- if not self.is_rocm_pytorch():
- return ['-lcurand']
- else:
- return []
- def include_paths(self):
- return ['csrc/transformer/inference/includes']
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