Created
February 27, 2020 23:55
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Example of converting a .cc TensorFlow Lite C data array file back into a binary flatbuffer on disk
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import re | |
output_data = bytearray() | |
with open('tensorflow/tensorflow/lite/micro/examples/magic_wand/magic_wand_model_data.cc', 'r') as file: | |
for line in file: | |
values_match = re.match(r"\W*(0x[0-9a-fA-F,x ]+).*", line) | |
if values_match: | |
list_text = values_match.group(1) | |
values_text = filter(None, list_text.split(",")) | |
values = [int(x, base=16) for x in values_text] | |
output_data.extend(values) | |
with open('converted.tfl', 'wb') as output_file: | |
output_file.write(output_data) |
It is ok now to open it with Netron. but I don’t know why I can not see the graph in Netron yesterday.
hsjpumc1205
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On 02/29/2020 03:25, Pete Warden wrote: What error are you having when you try to open the result with Netron?
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What error are you having when you try to open the result with Netron?