163 lines
7.4 KiB
Python
163 lines
7.4 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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"""
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import os
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from datetime import datetime
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from statistics import median
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from openvino.inference_engine import IENetwork, IECore, get_version, StatusCode
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from .utils.constants import MULTI_DEVICE_NAME, HETERO_DEVICE_NAME, CPU_DEVICE_NAME, GPU_DEVICE_NAME, XML_EXTENSION, BIN_EXTENSION
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from .utils.logging import logger
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from .utils.utils import get_duration_seconds
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from .utils.statistics_report import StatisticsReport
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class Benchmark:
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def __init__(self, device: str, number_infer_requests: int = None, number_iterations: int = None,
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duration_seconds: int = None, api_type: str = 'async'):
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self.device = device
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self.ie = IECore()
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self.nireq = number_infer_requests
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self.niter = number_iterations
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self.duration_seconds = get_duration_seconds(duration_seconds, self.niter, self.device)
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self.api_type = api_type
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def __del__(self):
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del self.ie
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def add_extension(self, path_to_extension: str=None, path_to_cldnn_config: str=None):
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if path_to_cldnn_config:
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self.ie.set_config({'CONFIG_FILE': path_to_cldnn_config}, GPU_DEVICE_NAME)
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logger.info('GPU extensions is loaded {}'.format(path_to_cldnn_config))
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if path_to_extension:
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self.ie.add_extension(extension_path=path_to_extension, device_name=CPU_DEVICE_NAME)
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logger.info('CPU extensions is loaded {}'.format(path_to_extension))
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def get_version_info(self) -> str:
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logger.info('InferenceEngine:\n{: <9}{:.<24} {}'.format('', 'API version', get_version()))
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version_string = 'Device info\n'
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for device, version in self.ie.get_versions(self.device).items():
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version_string += '{: <9}{}\n'.format('', device)
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version_string += '{: <9}{:.<24}{} {}.{}\n'.format('', version.description, ' version', version.major,
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version.minor)
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version_string += '{: <9}{:.<24} {}\n'.format('', 'Build', version.build_number)
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return version_string
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def set_config(self, config = {}):
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for device in config.keys():
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self.ie.set_config(config[device], device)
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def read_network(self, path_to_model: str):
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model_filename = os.path.abspath(path_to_model)
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head, ext = os.path.splitext(model_filename)
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weights_filename = os.path.abspath(head + BIN_EXTENSION) if ext == XML_EXTENSION else ""
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ie_network = self.ie.read_network(model_filename, weights_filename)
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return ie_network
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def load_network(self, ie_network: IENetwork, config = {}):
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exe_network = self.ie.load_network(ie_network,
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self.device,
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config=config,
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num_requests=1 if self.api_type == 'sync' else self.nireq or 0)
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# Number of requests
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self.nireq = len(exe_network.requests)
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return exe_network
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def import_network(self, path_to_file : str, config = {}):
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exe_network = self.ie.import_network(model_file=path_to_file,
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device_name=self.device,
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config=config,
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num_requests=1 if self.api_type == 'sync' else self.nireq or 0)
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# Number of requests
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self.nireq = len(exe_network.requests)
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return exe_network
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def first_infer(self, exe_network):
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infer_request = exe_network.requests[0]
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# warming up - out of scope
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if self.api_type == 'sync':
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infer_request.infer()
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else:
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infer_request.async_infer()
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status = exe_network.wait()
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if status != StatusCode.OK:
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raise Exception("Wait for all requests is failed with status code {}!".format(status))
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return infer_request.latency
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def infer(self, exe_network, batch_size, progress_bar=None):
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progress_count = 0
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infer_requests = exe_network.requests
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start_time = datetime.utcnow()
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exec_time = 0
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iteration = 0
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times = []
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in_fly = set()
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# Start inference & calculate performance
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# to align number if iterations to guarantee that last infer requests are executed in the same conditions **/
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while (self.niter and iteration < self.niter) or \
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(self.duration_seconds and exec_time < self.duration_seconds) or \
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(self.api_type == 'async' and iteration % self.nireq):
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if self.api_type == 'sync':
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infer_requests[0].infer()
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times.append(infer_requests[0].latency)
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else:
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infer_request_id = exe_network.get_idle_request_id()
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if infer_request_id < 0:
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status = exe_network.wait(num_requests=1)
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if status != StatusCode.OK:
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raise Exception("Wait for idle request failed!")
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infer_request_id = exe_network.get_idle_request_id()
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if infer_request_id < 0:
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raise Exception("Invalid request id!")
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if infer_request_id in in_fly:
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times.append(infer_requests[infer_request_id].latency)
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else:
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in_fly.add(infer_request_id)
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infer_requests[infer_request_id].async_infer()
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iteration += 1
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exec_time = (datetime.utcnow() - start_time).total_seconds()
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if progress_bar:
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if self.duration_seconds:
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# calculate how many progress intervals are covered by current iteration.
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# depends on the current iteration time and time of each progress interval.
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# Previously covered progress intervals must be skipped.
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progress_interval_time = self.duration_seconds / progress_bar.total_num
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new_progress = int(exec_time / progress_interval_time - progress_count)
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progress_bar.add_progress(new_progress)
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progress_count += new_progress
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elif self.niter:
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progress_bar.add_progress(1)
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# wait the latest inference executions
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status = exe_network.wait()
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if status != StatusCode.OK:
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raise Exception("Wait for all requests is failed with status code {}!".format(status))
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total_duration_sec = (datetime.utcnow() - start_time).total_seconds()
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for infer_request_id in in_fly:
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times.append(infer_requests[infer_request_id].latency)
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times.sort()
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latency_ms = median(times)
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fps = batch_size * 1000 / latency_ms if self.api_type == 'sync' else batch_size * iteration / total_duration_sec
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if progress_bar:
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progress_bar.finish()
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return fps, latency_ms, total_duration_sec, iteration
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