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python -m executorch.examples.qualcomm.scripts.^C -b executorch/build_android/ -m SM8450
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# Copyright (c) Qualcomm Innovation Center, Inc. | ||
# All rights reserved | ||
# | ||
# This source code is licensed under the BSD-style license found in the | ||
# LICENSE file in the root directory of this source tree. | ||
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import argparse | ||
import os | ||
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import numpy as np | ||
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import torch | ||
from executorch.examples.models.mobilebert import MobileBertModelExample | ||
from executorch.examples.qualcomm.scripts.utils import ( | ||
build_executorch_binary, | ||
make_output_dir, | ||
SimpleADB, | ||
topk_accuracy, | ||
) | ||
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import sys | ||
sys.setrecursionlimit(50000) | ||
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if __name__ == "__main__": | ||
parser = argparse.ArgumentParser() | ||
parser.add_argument( | ||
"-a", | ||
"--artifact", | ||
help="path for storing generated artifacts by this example. " | ||
"Default ./mb", | ||
default="./mb", | ||
type=str, | ||
) | ||
parser.add_argument( | ||
"-b", | ||
"--build_folder", | ||
help="path to cmake binary directory for android, e.g., /path/to/build_android", | ||
type=str, | ||
required=True, | ||
) | ||
parser.add_argument( | ||
"-s", | ||
"--device", | ||
help="serial number for android device communicated via ADB.", | ||
type=str, | ||
required=False, | ||
) | ||
parser.add_argument( | ||
"-H", | ||
"--host", | ||
help="hostname where android device is connected.", | ||
default=None, | ||
type=str, | ||
) | ||
parser.add_argument( | ||
"-m", | ||
"--model", | ||
help="SoC model of current device. e.g. 'SM8550' for Snapdragon 8 Gen 2", | ||
type=str, | ||
required=True, | ||
) | ||
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# QNN_SDK_ROOT might also be an argument, but it is used in various places. | ||
# So maybe it's fine to just use the environment. | ||
if "QNN_SDK_ROOT" not in os.environ: | ||
raise RuntimeError("Environment variable QNN_SDK_ROOT must be set") | ||
print(f"QNN_SDK_ROOT={os.getenv('QNN_SDK_ROOT')}") | ||
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if "LD_LIBRARY_PATH" not in os.environ: | ||
print( | ||
"[Warning] LD_LIBRARY_PATH is not set. If errors like libQnnHtp.so " | ||
"not found happen, please follow setup.md to set environment." | ||
) | ||
else: | ||
print(f"LD_LIBRARY_PATH={os.getenv('LD_LIBRARY_PATH')}") | ||
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args = parser.parse_args() | ||
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# ensure the working directory exist. | ||
os.makedirs(args.artifact, exist_ok=True) | ||
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inputs = (torch.tensor([[101, 7592, 1010, 2026, 3899, 2003, 10140, 102]]),) | ||
pte_filename = "mb_qnn" | ||
instance = MobileBertModelExample() | ||
build_executorch_binary( | ||
instance.get_eager_model().eval(), | ||
inputs, # instance.get_example_inputs(), | ||
args.model, | ||
f"{args.artifact}/{pte_filename}", | ||
inputs, | ||
) |