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- # Copyright (c) Microsoft Corporation.
- # SPDX-License-Identifier: Apache-2.0
- # DeepSpeed Team
- from .builder import CUDAOpBuilder, installed_cuda_version
- class SpatialInferenceBuilder(CUDAOpBuilder):
- BUILD_VAR = "DS_BUILD_SPATIAL_INFERENCE"
- NAME = "spatial_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.spatial.{self.NAME}_op'
- def is_compatible(self, verbose=True):
- try:
- import torch
- except ImportError:
- self.warning("Please install torch if trying to pre-compile inference kernels")
- return False
- cuda_okay = True
- if not self.is_rocm_pytorch() and torch.cuda.is_available():
- sys_cuda_major, _ = installed_cuda_version()
- torch_cuda_major = int(torch.version.cuda.split('.')[0])
- cuda_capability = torch.cuda.get_device_properties(0).major
- if cuda_capability >= 8:
- if torch_cuda_major < 11 or sys_cuda_major < 11:
- self.warning("On Ampere and higher architectures please use CUDA 11+")
- cuda_okay = False
- return super().is_compatible(verbose) and cuda_okay
- def sources(self):
- return [
- 'csrc/spatial/csrc/opt_bias_add.cu',
- 'csrc/spatial/csrc/pt_binding.cpp',
- ]
- def include_paths(self):
- return ['csrc/spatial/includes', 'csrc/includes']
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