and the shape mentioned does not belong to either the input or the output layers.
Please see below for detailed information of how I convert, thank you.
ERROR MESSAGE:
ERROR - Encountered Error: non-broadcastable output operand with shape (75,75,24) doesn't match the broadcast shape (1,75,75,24)
Traceback (most recent call last):
File "/host/snpe-1.15.0/bin/x86_64-linux-clang/snpe-tensorflow-to-dlc", line 120, in main
converter.convert(args.dlc, args.model_version, converter_command)
File "/host/snpe-1.15.0/lib/python/converters/tensorflow/converter.py", line 304, in convert
self._convert_layers()
File "/host/snpe-1.15.0/lib/python/converters/tensorflow/converter.py", line 340, in _convert_layers
descriptors = self._resolve_descriptors_from_nodes(graph_ops)
File "/host/snpe-1.15.0/lib/python/converters/tensorflow/converter.py", line 439, in _resolve_descriptors_from_nodes
resolved_descriptors = resolver.resolve_layer(graph_matcher, self._graph_helper)
File "/host/snpe-1.15.0/lib/python/converters/tensorflow/layers/eltwise.py", line 97, in resolve_layer
const_tensor = self._broadcast_tensor(const_tensor, eltwise_shape)
File "/host/snpe-1.15.0/lib/python/converters/tensorflow/layers/eltwise.py", line 127, in _broadcast_tensor
broadcasted_tensor += tensor
ValueError: non-broadcastable output operand with shape (75,75,24) doesn't match the broadcast shape (1,75,75,24)