[GitHub] [incubator-tvm] ZihengJiang commented on a change in pull request #4439: [CONTRIB] TFLite Runtime

[GitBox <gi...@apache.org>]

ZihengJiang commented on a change in pull request #4439: [CONTRIB] TFLite Runtime
URL: https://github.com/apache/incubator-tvm/pull/4439#discussion_r351550324
 
 

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 File path: python/tvm/contrib/tflite_runtime.py
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+# 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.
+"""TFLite runtime that load and run tflite models."""
+import numpy as np
+
+from .._ffi.base import string_types
+from .._ffi.ndarray import context
+from .._ffi.function import get_global_func
+from .._ffi.runtime_ctypes import TVMContext
+from ..rpc import base as rpc_base
+
+def create(tflite_fname, ctx):
+    """Create a runtime executor module given a graph and module.
+    Parameters
+    ----------
+    tflite_fname : str
+        The graph to be deployed in json format output by nnvm graph.
+        The graph can only contain one operator(tvm_op) that
+        points to the name of PackedFunc in the libmod.
+    ctx : TVMContext or list of TVMContext
+        The context to deploy the module. It can be local or remote when there
+        is only one TVMContext. Otherwise, the first context in the list will
+        be used as this purpose. All context should be given for heterogeneous
+        execution.
+    Returns
+    -------
+    graph_module : GraphModule
+        Runtime graph module that can be used to execute the graph.
+    """
+    if not isinstance(tflite_fname, string_types):
+        raise ValueError("Type %s is not supported" % type(tflite_fname))
+
+    device_type = ctx.device_type
+    if device_type >= rpc_base.RPC_SESS_MASK:
+        device_type = ctx.device_type % rpc_base.RPC_SESS_MASK
+        device_id = ctx.device_id
+        remote_ctx = context(device_type, device_id)
+        fcreate = ctx._rpc_sess.get_function("tvm.tflite_runtime.create")
+        return TFLiteModule(fcreate(tflite_fname, ctx))
+    fcreate = get_global_func("tvm.tflite_runtime.create")
+    return TFLiteModule(fcreate(tflite_fname, ctx))
+
+
+class TFLiteModule(object):
+    """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
 
 Review comment:
   sure

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