Along axis 0 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the Y axis returning a (Ax1xC) Tensor
Along axis 1 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the X axis returning a (1xBxC) Tensor
Along axis 2 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the Z axis returning a (AxBx1) Tensor
Along axis -1 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the Z axis returning a (1x1x1) Tensor Scalar
Fixed various bugs with
RNN
model andLSTM
layer. Should be more consistentMoved auto calculation of biases to each layer so biases can more easily be controlled
Standardized the
axis
definitions for mathematical operations onTensor
Along axis 0 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the Y axis returning a (Ax1xC) Tensor
Along axis 1 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the X axis returning a (1xBxC) Tensor
Along axis 2 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the Z axis returning a (AxBx1) Tensor
Along axis -1 the Tensor of shape AxBxC, where A is the columns, B is the rows, and C is the depth, would perform a mathematical function along the Z axis returning a (1x1x1) Tensor Scalar