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52 lines
2.0 KiB
52 lines
2.0 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from typing import Optional
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import onnxruntime as ort
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from paddlespeech.cli.log import logger
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def get_sess(model_path: Optional[os.PathLike]=None, sess_conf: dict=None):
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logger.debug(f"ort sessconf: {sess_conf}")
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sess_options = ort.SessionOptions()
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sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
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if sess_conf.get('graph_optimization_level', 99) == 0:
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sess_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_DISABLE_ALL
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sess_options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
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# "gpu:0"
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providers = ['CPUExecutionProvider']
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if "gpu" in sess_conf.get("device", ""):
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device_id = int(sess_conf["device"].split(":")[1])
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providers = [('CUDAExecutionProvider', {'device_id': device_id})]
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# fastspeech2/mb_melgan can't use trt now!
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if sess_conf.get("use_trt", 0):
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providers = ['TensorrtExecutionProvider']
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logger.debug(f"ort providers: {providers}")
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if 'cpu_threads' in sess_conf:
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sess_options.intra_op_num_threads = sess_conf.get("cpu_threads", 0)
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else:
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sess_options.intra_op_num_threads = sess_conf.get(
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"intra_op_num_threads", 0)
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sess_options.inter_op_num_threads = sess_conf.get("inter_op_num_threads", 0)
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sess = ort.InferenceSession(
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model_path, providers=providers, sess_options=sess_options)
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return sess
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