chore: import upstream snapshot with attribution

python/tvm/contrib/dlpack.py

@@ -0,0 +1,66 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Wrapping functions to bridge frameworks with DLPack support to TVM"""
+
+import tvm.runtime
+
+
+def convert_func(tvm_func, tensor_type, to_dlpack_func):
+    """Convert a tvm function into one that accepts a tensor from another
+       framework, provided the other framework supports DLPACK
+
+    Parameters
+    ----------
+    tvm_func: Function
+        Built tvm function operating on arrays
+
+    tensor_type: Type
+        Type of the tensors of the target framework
+
+    to_dlpack_func: Function
+        Function to convert the source tensors to DLPACK
+    """
+    assert callable(tvm_func)
+
+    def _wrapper(*args):
+        args = tuple(
+            tvm.runtime.from_dlpack(to_dlpack_func(arg)) if isinstance(arg, tensor_type) else arg
+            for arg in args
+        )
+        return tvm_func(*args)
+
+    return _wrapper
+
+
+def to_pytorch_func(tvm_func):
+    """Convert a tvm function into one that accepts PyTorch tensors
+
+    Parameters
+    ----------
+    tvm_func: Function
+        Built tvm function operating on arrays
+
+    Returns
+    -------
+    wrapped_func: Function
+        Wrapped tvm function that operates on PyTorch tensors
+    """
+    # pylint: disable=import-outside-toplevel
+    import torch
+    import torch.utils.dlpack
+
+    return convert_func(tvm_func, torch.Tensor, torch.utils.dlpack.to_dlpack)