Hello,
I've imported a NN in SaveModel fromat from TensorFlow (v2.6). It has a Keras flatten layer and when I try to generate the HDL with Deep Learning HDL Toolbox Support Package For Intel FPGA And SoC Devices I get the following message:
Error using dnnfpga.compiler.codegenfpga
Layer nnet.keras.layer.FlattenCStyleLayer is not supported. See the documentation for list of supported layers.
Error in dnnfpga.apis.Workflow/compileNetwork
Error in dnnfpga.apis.Workflow/compile
Error in generate_HDL_from_NN (line 19)
However, nnet.keras.layer.FlattenCStyleLayer is supported according to documentation (https://es.mathworks.com/help/deep-learning-hdl/ug/supported-networks-layers-boards-and-tools.html)
I realised that nnet.keras.layer.FlattenCStyleLayer must be followed by a Fully connected layer and it does.
These are the layers from the NN imported:
7×1 Layer array with layers:
1 'input_layer' Image Input 28×28×1 images
2 'flatten' Keras Flatten Flatten activations into 1-D assuming C-style (row-major) order
3 'dense' Fully Connected 128 fully connected layer
5 'output_layer' Fully Connected 10 fully connected layer
6 'output_layer_softmax' Softmax softmax
7 'ClassificationLayer_output_layer' Classification Output crossentropyex with '0' and 9 other classes
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Software version:
Deep Learning HDL Toolbox Support Package For Intel FPGA And SoC Devices 21.2.4
Matlab R2021b Update 6 (9.11.0.2207237)
Ubuntu 20.04
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