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keras_valid.py
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from argparse import ArgumentParser, Namespace
from sys import stdout
import numpy as np
from tqdm import tqdm
from tvm import relay, TVMError
from lemon.gen import LemonGenerator
from muffin.model_generator import MuffinGenerator
from tvm_frontend import from_keras
args = Namespace()
def _parse_args():
global args
p = ArgumentParser()
p.add_argument('-g', '--generator', type=str, choices=['lemon', 'muffin'],
help='Method for graph generation.')
p.add_argument('-n', '--number', type=int, help='Number of graphs')
p.add_argument('-m', '--model', type=str, choices=['dag', 'template'],
help='Graph model to apply, only valid for Muffin.')
args = p.parse_args()
def main():
# Initialization
if args.generator == 'lemon':
model_gen = LemonGenerator()
else:
model_gen = MuffinGenerator(args.model)
# Generation loop
progress = tqdm(range(args.number), file=stdout)
keras_invalid, relay_invalid = 0, 0
def display_count():
progress.set_postfix_str(f'{keras_invalid}, {relay_invalid}')
display_count()
for _ in progress:
# Generate Keras model
try:
model = model_gen.generate()
except ValueError as err:
print(err)
keras_invalid += 1
display_count()
continue
# Convert to Relay
batch_size = np.random.randint(1, 5)
input_shapes = {inp.name: (batch_size,) + tuple(inp.shape.as_list()[1:])
for inp in model.inputs}
mod, _ = from_keras(model, shape=input_shapes)
# Check type correctness
try:
relay.transform.InferType()(mod)
except TVMError:
relay_invalid += 1
display_count()
print('Original pass rate: {:.3f}'.format(1 - keras_invalid / args.number))
print('Failure rate of conversion: {:.3f}'.format(relay_invalid / args.number))
print('Relay pass rate: {:.3f}'.format(1 - (keras_invalid + relay_invalid) / args.number))
if __name__ == '__main__':
_parse_args()
main()