std :: ml::convnet
Function std::tensor_conv2d_ex
&FloatTensor tensor_conv2d_ex(
const &FloatTensor x,
const &FloatTensor weight,
const &FloatTensor bias,
unsigned long inC,
unsigned long inH,
unsigned long inW,
const &Conv2dSpec spec,
)x is [batch, inCinHinW] (a 1D tensor is one image). Each returns [batch, outCoutHoutW] and records its backward edge to x, weight and bias, like tensor_add does. outC is bias's size.