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Fixed three trivial details in runtime-modeling #21

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Fixed three trivial details in runtime-modeling #21

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12 changes: 7 additions & 5 deletions runtime-modeling/main_tflite.py
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Original file line number Diff line number Diff line change
Expand Up @@ -308,7 +308,7 @@ def gen_model_fn(features, labels, mode, params):
if FLAGS.min_depth:
override_params['min_depth'] = FLAGS.min_depth

logits, _ = models.build_model(
logits, _ = models.build_mnasnet_model(
features,
model_name=FLAGS.model_name,
training=is_training,
Expand Down Expand Up @@ -560,8 +560,9 @@ def export(est, export_dir, post_quantize=True):
serving_input_receiver_fn=image_serving_input_fn)

tf.logging.info('Starting to export TFLite.')
converter = tf.contrib.lite.TFLiteConverter.from_saved_model(
os.path.join(export_dir, subfolder),
converter = tf.lite.TFLiteConverter.from_saved_model(
# os.path.join(export_dir, str(subfolder)),
subfolder.decode(),
input_arrays=['truediv'],
output_arrays=['logits'])
tflite_model = converter.convert()
Expand All @@ -570,8 +571,9 @@ def export(est, export_dir, post_quantize=True):

if post_quantize:
tf.logging.info('Starting to export quantized TFLite.')
converter = tf.contrib.lite.TFLiteConverter.from_saved_model(
os.path.join(export_dir, subfolder),
converter = tf.lite.TFLiteConverter.from_saved_model(
# os.path.join(export_dir, subfolder),
subfolder.decode(),
input_arrays=['truediv'],
output_arrays=['logits'])
converter.post_training_quantize = True
Expand Down
4 changes: 3 additions & 1 deletion runtime-modeling/profiler_scripts.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,15 @@ def profiler_template(path):
}
return template

import sys, json
import os, sys, json
if __name__ == '__main__':

path = sys.argv[1]
template = profiler_template(path)

profiler_cfg_ = path + "profiler.json"
if not os.path.exists(os.path.dirname(profiler_cfg_)):
os.makedirs(os.path.dirname(profiler_cfg_))
with open(profiler_cfg_, 'w') as f:
json.dump(template, f)

Expand Down