| # |
| # SPDX-FileCopyrightText: Copyright 2021-2022 Arm Limited and/or its affiliates <open-source-office@arm.com> |
| # SPDX-License-Identifier: Apache-2.0 |
| # |
| from argparse import ArgumentParser |
| import os |
| import logging |
| from pathlib import Path |
| from typing import List |
| |
| import ethosu_driver as driver |
| try: |
| import numpy as np |
| with_numpy = True |
| except ImportError: |
| with_numpy = False |
| |
| |
| def read_bin_file_to_buf(file_path: str) -> bytearray: |
| with open(file_path, 'rb') as f: |
| return bytearray(f.read()) |
| |
| |
| def read_npy_file_to_buf(file_path: str) -> bytearray: |
| ifm_arr = np.load(file_path).astype(dtype=np.int8, order='C') |
| return ifm_arr.flatten().data |
| |
| |
| def read_ifms(ifm_files: List[str], use_npy: bool = False): |
| read_file_to_buf = read_npy_file_to_buf if use_npy else read_bin_file_to_buf |
| for ifm_file in ifm_files: |
| yield read_file_to_buf(ifm_file) |
| |
| |
| def write_npy(dir: str, file_name: str, data: memoryview): |
| ar = np.frombuffer(data, dtype=np.int8) |
| file_path = os.path.join(dir, "{}.npy".format(file_name)) |
| if os.path.isfile(file_path): |
| os.remove(file_path) |
| np.save(file_path, ar) |
| logging.info("File saved to {}".format(file_path)) |
| |
| |
| def write_bin_file(dir: str, file_name: str, data: memoryview): |
| file_path = os.path.join(dir, "{}.bin".format(file_name)) |
| if os.path.isfile(file_path): |
| os.remove(file_path) |
| with open(file_path, "wb") as f: |
| f.write(data) |
| logging.info("File saved to {}".format(file_path)) |
| |
| |
| def write_ofm(buf: memoryview, ofm_index: int, model_path: str, output_dir: str, use_npy: bool = False): |
| write_buf_to_file = write_npy if use_npy else write_bin_file |
| model_file_name = Path(model_path).name |
| ofm_name = "{}_ofm_{}".format(model_file_name, ofm_index) |
| write_buf_to_file(output_dir, ofm_name, buf) |
| |
| |
| def main(): |
| format = "%(asctime)s %(levelname)s - %(message)s" |
| logging.basicConfig(format=format, level=logging.INFO) |
| |
| parser = ArgumentParser() |
| parser.add_argument("--device", help="Npu device name. Default: ethosu0", default="ethosu0") |
| parser.add_argument("--model", help="Tflite model file path", required=True) |
| parser.add_argument("--timeout", help="Inference timout in seconds, Default: infinite", default=-1, type=int) |
| parser.add_argument("--inputs", nargs='+', help="list of files containing input feature maps", required=True) |
| parser.add_argument("--output_dir", help="directory to store inference results, output feature maps. " |
| "Default: current directory", default=os.getcwd()) |
| parser.add_argument("--npy", help="Use npy input/output", default=0, type=int) |
| parser.add_argument("--profile_counters", help="Performance counters to profile", nargs=4, type=int, required=True) |
| args = parser.parse_args() |
| |
| use_numpy = with_numpy & bool(int(args.npy)) |
| if use_numpy: |
| logging.info("Running with numpy inputs/outputs") |
| else: |
| logging.info("Running with byte array inputs/outputs") |
| |
| # @TODO: Discuss if this is needed anymore. Remove this commented line, if not. |
| # driver.reset() |
| |
| ifms_data = read_ifms(args.inputs, use_numpy) |
| |
| runner = driver.InferenceRunner(args.device, args.model) |
| runner.set_enabled_counters(args.profile_counters) |
| ofm_buffers = runner.run(list(ifms_data), int(args.timeout)) |
| |
| for index, buffer_out in enumerate(ofm_buffers): |
| logging.info("Output buffer size: {}".format(buffer_out.size())) |
| write_ofm(buffer_out.data(), index, args.model, args.output_dir, use_numpy) |
| |
| inference_pmu_counters = runner.get_pmu_counters() |
| |
| # Profiling |
| total_cycles = runner.get_pmu_total_cycles() |
| for pmu, value in inference_pmu_counters: |
| logging.info("\tNPU %d counter: %d", pmu, value) |
| logging.info("\tNPU TOTAL cycles: %d", total_cycles) |