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onnx2versal
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Vector implementation for 3x3 BCHW, stores weights and biases, requires KW<=4, INP_W%4==0, OUT_W_PAD%8=0, STEP_H==1, STEP_W==1, GROUP==1, assumes weights are padded to MxCx12, ConvHx4Relu<26,28,24,24,1,1,1,2,4,3,3,1,1> total = 10603.
#include <conv.h>
Public Member Functions | |
| ConvHx4Relu (float(&w)[M *CKK_ROW_SIZE], float(&b)[M]) | |
| void | filter (input_window< float > *in, output_window< float > *out) |
Static Public Member Functions | |
| static void | registerKernelClass () |