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RubenPadial's avatar
RubenPadial
Icon for Contributor rankContributor
2 years ago

Intel FPGA AI suite accuracy drop

Hello, I'm using Intel FPGA AI 2023.2 on ubuntu 20.04 host computer and trying to infer a custom CNN in a Intel Arria 10 SoC FPGA. The CNN was trained with TensorFlow and the accuracy is 98.89% acr...
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JohnT_Altera's avatar
JohnT_Altera
Icon for Regular Contributor rankRegular Contributor
2 years ago

Hi,


I have check on the file you provided, it looks there is multiple layer that is not supported by FPGA. May I know if you are able to use the correct architecture that will fit your DLA?


Layer (Name: StatefulPartitionedCall/model/dense_1/BiasAdd, Type: Eltwise) is not supported: FPGA plugin: all parent nodes are not supported by FPGA.

Layer (Name: Constant_2560, Type: Constant) is not supported:

Layer (Name: StatefulPartitionedCall/model/dense_1/Tensordot, Type: Reshape) is not supported:

FPGA plugin: layer is not executed on FPGA because it does not have preceding layer on FPGA.

Layer (Name: StatefulPartitionedCall/model/dense_1/Tensordot/MatMul, Type: FullyConnected) is not supported:

FPGA plugin: this Fully Connected layer does not have preceding convolutional layer / sequence.

Layer (Name: StatefulPartitionedCall/model/re_lu_7/Relu, Type: Relu) is not supported:

FPGA plugin: layer is not executed on FPGA because it does not have preceding layer on FPGA.

Layer (Name: StatefulPartitionedCall/model/dense/BiasAdd, Type: Eltwise) is not supported:

FPGA plugin: 'Constant' nodes are not supported as input of nodes Eltwise

Layer (Name: Constant_2559, Type: Constant) is not supported: