如何将pb文件转换为HDF5 格式 完整代码
时间: 2024-05-04 08:18:39 浏览: 11
以下是将.pb文件转换为HDF5格式的完整代码:
```python
import tensorflow as tf
import os
import argparse
def convert_pb_to_hdf5(input_pb, output_hdf5):
# Load the protobuf file from the disk
with tf.io.gfile.GFile(input_pb, "rb") as f:
graph_def = tf.compat.v1.GraphDef()
graph_def.ParseFromString(f.read())
# Import the graph_def into a new Graph and return it
with tf.Graph().as_default() as graph:
tf.import_graph_def(graph_def, name="")
# Convert variables to constants so that the graph can be saved as a single file
with tf.compat.v1.Session(graph=graph) as sess:
tf.compat.v1.global_variables_initializer().run()
output_graph_def = tf.compat.v1.graph_util.convert_variables_to_constants(
sess, graph.as_graph_def(), ["output_node"])
# Save the converted graph as a HDF5 file
with tf.io.gfile.GFile(output_hdf5, "wb") as f:
f.write(tf.compat.as_bytes(output_graph_def.SerializeToString()))
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Convert a frozen TensorFlow model (.pb file) to HDF5 (.h5) format')
parser.add_argument('--input_pb', required=True, help='Path to the input .pb file')
parser.add_argument('--output_hdf5', required=True, help='Path to the output .h5 file')
args = parser.parse_args()
convert_pb_to_hdf5(args.input_pb, args.output_hdf5)
```
使用方式:
在命令行中输入以下命令:
```python
python convert_pb_to_hdf5.py --input_pb <path to input .pb file> --output_hdf5 <path to output .h5 file>
```
其中,`<path to input .pb file>` 为需要转换的.pb文件的路径,`<path to output .h5 file>` 为转换后的.h5文件的路径。