def forward()

in sparseconvnet/convolution.py [0:0]

• 35 lines of code
• 1 McCabe index (conditional complexity)

    def forward(
            ctx,
            input_features,
            weight,
            bias,
            input_metadata,
            input_spatial_size,
            output_spatial_size,
            dimension,
            filter_size,
            filter_stride):
        output_features = input_features.new()
        ctx.input_metadata = input_metadata
        ctx.dimension = dimension
        ctx.save_for_backward(
            input_features,
            input_spatial_size,
            weight,
            bias,
            output_spatial_size,
            filter_size,
            filter_stride)
        sparseconvnet.forward_pass_multiplyAdd_count +=\
            sparseconvnet.SCN.Convolution_updateOutput(
                input_spatial_size,
                output_spatial_size,
                filter_size,
                filter_stride,
                input_metadata,
                input_features,
                output_features,
                weight,
                bias)
        sparseconvnet.forward_pass_hidden_states += output_features.nelement()
        return output_features