wehub-resource-sync
50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
# Copyright (c) Microsoft Corporation.
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# SPDX-License-Identifier: Apache-2.0
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# DeepSpeed Team
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import os
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from .builder import CUDAOpBuilder, installed_cuda_version
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class SpatialInferenceBuilder(CUDAOpBuilder):
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BUILD_VAR = "DS_BUILD_SPATIAL_INFERENCE"
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NAME = "spatial_inference"
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def __init__(self, name=None):
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name = self.NAME if name is None else name
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super().__init__(name=name)
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def absolute_name(self):
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return f'deepspeed.ops.spatial.{self.NAME}_op'
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def is_compatible(self, verbose=False):
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try:
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import torch
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except ImportError:
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if verbose:
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self.warning("Please install torch if trying to pre-compile inference kernels")
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return False
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cuda_okay = True
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if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
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if not self.is_rocm_pytorch() and torch.cuda.is_available():
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sys_cuda_major, _ = installed_cuda_version()
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torch_cuda_major = int(torch.version.cuda.split('.')[0])
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cuda_capability = self.cuda_capability_major()
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if cuda_capability is not None and cuda_capability >= 8:
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if torch_cuda_major < 11 or sys_cuda_major < 11:
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if verbose:
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self.warning("On Ampere and higher architectures please use CUDA 11+")
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cuda_okay = False
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return super().is_compatible(verbose) and cuda_okay
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def sources(self):
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return [
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'csrc/spatial/csrc/opt_bias_add.cu',
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'csrc/spatial/csrc/pt_binding.cpp',
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]
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def include_paths(self):
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return ['csrc/spatial/includes', 'csrc/includes']
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