public static void THNN_Bin_SpatialConvolutionMM_updateOutput_frame(
IntPtr output, //float
IntPtr weight, //int
IntPtr bias, //float
IntPtr ones, //float
IntPtr bin_col, //int
IntPtr alphas, //float
int kW, int kH,
int dW, int dH,
int padW, int padH,
Int64 nInputPlane,
Int64 inputWidth, Int64 inputHeight,
Int64 nOutputPlane,
Int64 outputWidth, Int64 outputHeight,
bool quantOutput = false)
{
IntPtr output2d;
//var output2d = THFloatTensor_newWithStorage2d(output->storage, output->storageOffset, nOutputPlane, -1, outputHeight * outputWidth, -1);
//var output2d = THFloatTensor_newWithStorage2d(output, (int)nOutputPlane, -1, (int)(outputHeight * outputWidth), -1);
var strg = THWrapper.THFloatTensor_storage(output);
var offset = THWrapper.THFloatTensor_storageOffset(output);
output2d = THWrapper.THFloatTensor_newWithStorage2d(strg, offset, nOutputPlane, (long)-1, outputWidth * outputHeight, (long)-1);
//InternalArray output2d = new InternalArray(new int[] { });
THWrapper.THFloatTensor_zero(output2d);
binary_gemm_cpu(weight, bin_col, output2d, (int)nOutputPlane, (int)(kW * kH * nInputPlane), (int)(outputHeight * outputWidth), 0, 1, 1, alphas, quantOutput);
if (bias != null && THWrapper.THFloatTensor_nDimension(bias) != 0)
{
THWrapper.THFloatTensor_addmm(output2d, 1, output2d, 1, bias, ones);
//THFloatTensor_addmm(output2d, 1, output2d, 1, bias, ones);
}
THWrapper.THFloatTensor_free(output2d);
//THWrapper.THFloatTensor_free(_ones);
//THFloatTensor_free(output2d);
}