Related Issues (20)
- Non-transposed weight packing HOT 1
- Tool generated an assert in weight quantization
- Support network model with unspecific input dimensions
- Support FC layers with large input size by divide the input to small chunks
- Activation layer should be handled as a independent layer HOT 1
- Do not reuse input buffer HOT 1
- FPGANetwork.convert_network() might behave unexpectedly for net /w branch. HOT 1
- Keras Parser failed to parse model composed of fully connected layers only
- Parse Nested Keras Network Configuration
- Wrong output size is calculated from Keras Network HOT 2
- Support dilation convolution by Caffe.
- Add parsing of deconvolution layers in caffe and keras
- Raise message for unsupported Upsampling for Keras
- is_input_hw_layout can be wrong for Concatenation input
- Support node connecting to multiple concatenation
- Use CopyConcatenate if outputs address of concatenated layers are not 16-bytes aligned. HOT 1
- [Debug_tool] do not assume that the output format is DV700-specific. HOT 1
- Merge activation with element-wise add layer in ResNet50
- Fix copy_concatenation check for recursive concat
- Failed to convert pure Dense network. HOT 4
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