static void nn_SpatialConvolutionMM_updateOutput_frame(THFloatTensor *input, THFloatTensor *output,
THFloatTensor *weight, THFloatTensor *bias,
THFloatTensor *finput,
int kW, int kH, int dW, int dH, int padW, int padH,
long nInputPlane, long inputWidth, long inputHeight,
long nOutputPlane, long outputWidth, long outputHeight)
{
nn_unfolded_copy(finput, input, kW, kH, dW, dH, padW, padH,
nInputPlane, inputWidth, inputHeight, outputWidth, outputHeight);
THFloatTensor *output2d = THFloatTensor_newWithStorage2d(output->storage, output->storageOffset,
nOutputPlane, -1,
outputHeight*outputWidth, -1);
long i;
for (i = 0; i < nOutputPlane; i++)
{
float *data = output->storage->data + output->storageOffset + output->stride[0]*i;
float what = bias->storage->data[i];
long len = outputHeight*outputWidth;
THFloatVector_fill(data, what, len);
}
THFloatTensor_addmm(output2d, 1, output2d, 1, weight, finput);
THFloatTensor_free(output2d);
}
THFloatTensor *nn_View_updateOutput(struct module *module, THFloatTensor *input)
{
long nElements = THFloatTensor_nElement(input);
long numElements = module->View.numElements;
long batchSize = nElements / numElements;
THFloatTensor *view;
if (batchSize > 1)
view = THFloatTensor_newWithStorage2d(input->storage, input->storageOffset, batchSize, numElements, numElements, 1);
else
view = THFloatTensor_newWithStorage1d(input->storage, input->storageOffset, numElements, 1);
THFloatTensor_free(module->output);
module->output = view;
return module->output;
}
