[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
Traceback (most recent call last):
File "examples/vww.py", line 31, in
life_cycle_path="./lifecycle.png",
File "/Users/amahmed/Desktop/UMass/Spring_2022/Thesis/tinyengine/code_generator/CodegenUtilTFlite.py", line 70, in GenerateSourceFilesFromTFlite
code_generator.codeGeneration()
File "/Users/amahmed/Desktop/UMass/Spring_2022/Thesis/tinyengine/code_generator/CodeGenerator.py", line 131, in codeGeneration
self._genPatchInference()
File "/Users/amahmed/Desktop/UMass/Spring_2022/Thesis/tinyengine/code_generator/CodeGenerator.py", line 182, in _genPatchInference
last_patch_op_output_buffer_str_for_patch_inference = last_patch_op._getBufferstr(
AttributeError: 'NoneType' object has no attribute '_getBufferstr'
Deleting lines 179 to 181 in CodeGenerator.py removes the error.
Facing an issue related to PR #26:
Deleting lines 179 to 181 in
CodeGenerator.py
removes the error.