chore: import upstream snapshot with attribution

2026-07-13 13:18:33 +08:00
commit 4ececc111a
2017 changed files with 331736 additions and 0 deletions
@@ -0,0 +1,49 @@
+# 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']