chore: import upstream snapshot with attribution

python/tvm/contrib/coreml_runtime.py

@@ -0,0 +1,76 @@
+# 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.
+"""CoreML runtime that load and run coreml models."""
+
+import tvm_ffi
+
+from ..rpc import base as rpc_base
+
+
+def create(symbol, compiled_model_path, device):
+    """Create a runtime executor module given a coreml model and context.
+
+    Parameters
+    ----------
+    symbol : str
+        The symbol that represents the Core ML model.
+    compiled_model_path : str
+        The path of the compiled model to be deployed.
+    device : Device
+        The device to deploy the module. It can be local or remote when there
+        is only one Device.
+    Returns
+    -------
+    coreml_runtime : CoreMLModule
+        Runtime coreml module that can be used to execute the coreml model.
+    """
+    device_type = device.dlpack_device_type()
+    runtime_func = "tvm.coreml_runtime.create"
+
+    if device_type >= rpc_base.RPC_SESS_MASK:
+        fcreate = device._rpc_sess.get_function(runtime_func)
+    else:
+        fcreate = tvm_ffi.get_global_func(runtime_func)
+        assert fcreate, "Cannot find `tvm.coreml_runtime.create` function."
+
+    return CoreMLModule(fcreate(symbol, compiled_model_path))
+
+
+class CoreMLModule:
+    """Wrapper runtime module.
+
+    This is a thin wrapper of the underlying TVM module.
+    you can also directly call set_input, run, and get_output
+    of underlying module functions
+
+    Parameters
+    ----------
+    module : Module
+        The internal tvm module that holds the actual coreml functions.
+
+    Attributes
+    ----------
+    module : Module
+        The internal tvm module that holds the actual coreml functions.
+    """
+
+    def __init__(self, module):
+        self.module = module
+        self.invoke = module["invoke"]
+        self.set_input = module["set_input"]
+        self.get_output = module["get_output"]
+        self.get_num_outputs = module["get_num_outputs"]