# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0

# DeepSpeed Team

import os
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=False):
        try:
            import torch
        except ImportError:
            if verbose:
                self.warning("Please install torch if trying to pre-compile inference kernels")
            return False

        cuda_okay = True
        if not os.environ.get("DS_IGNORE_CUDA_DETECTION"):
            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 = self.cuda_capability_major()
                if cuda_capability is not None and cuda_capability >= 8:
                    if torch_cuda_major < 11 or sys_cuda_major < 11:
                        if verbose:
                            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']