(self)
Generator that can be used to iterate over this dataset.

        Yields:
            tuple : the next minibatch of data.
Generator that can be used to iterate over this dataset.
Generator that can be used to iterate over this dataset .
def __iter__(self):
        """
        Generator that can be used to iterate over this dataset.

        Yields:
            tuple : the next minibatch of data.
        """
        self.batch_index = 0
        while self.batch_index < self.nbatches:
            X_batch = self.X[:, self.batch_index, :].T.astype(np.float32, order='C')
            if self.reverse_target is False:
                y_batch = self.y[:, self.batch_index, :].T.astype(np.float32, order='C')
            else:
                # reverse target sequence
                y_batch = self.y[:, self.batch_index, ::-1].T.astype(np.float32, order='C')

            self.dev_lbl.set(y_batch)
            self.dev_y[:] = self.be.onehot(self.dev_lblflat, axis=0)

            if self.onehot_input:
                self.dev_lbl.set(X_batch)
                self.dev_X[:] = self.be.onehot(self.dev_lblflat, axis=0)
                if self.get_prev_target:
                    self.dev_Z[:, self.be.bsz:] = self.dev_y[:, :-self.be.bsz]
                    self.dev_Z[:, 0:self.be.bsz] = 0  # zero-hot, no input
            else:
                self.dev_X.set(X_batch)
                if self.get_prev_target:
                    self.dev_lbl.set(y_batch)
                    self.dev_Z[1:, :] = self.dev_lbl[:-1, :]
                    self.dev_Z[0, :] = 0

            self.batch_index += 1

            if self.get_prev_target:
                yield (self.dev_X, self.dev_Z), self.dev_y
            else:
                yield self.dev_X, self.dev_y
def __iter__ ( self ) : self . batch_index = 0 while self . batch_index < self . nbatches : X_batch = self . X [ : , self . batch_index , : ] . T . astype ( np . float32 , order = 'C' ) if self . reverse_target is False : y_batch = self . y [ : , self . batch_index , : ] . T . astype ( np . float32 , order = 'C' ) else : # reverse target sequence y_batch = self . y [ : , self . batch_index , : : - 1 ] . T . astype ( np . float32 , order = 'C' ) self . dev_lbl . set ( y_batch ) self . dev_y [ : ] = self . be . onehot ( self . dev_lblflat , axis = 0 ) if self . onehot_input : self . dev_lbl . set ( X_batch ) self . dev_X [ : ] = self . be . onehot ( self . dev_lblflat , axis = 0 ) if self . get_prev_target : self . dev_Z [ : , self . be . bsz : ] = self . dev_y [ : , : - self . be . bsz ] self . dev_Z [ : , 0 : self . be . bsz ] = 0 # zero-hot, no input else : self . dev_X . set ( X_batch ) if self . get_prev_target : self . dev_lbl . set ( y_batch ) self . dev_Z [ 1 : , : ] = self . dev_lbl [ : - 1 , : ] self . dev_Z [ 0 , : ] = 0 self . batch_index += 1 if self . get_prev_target : yield ( self . dev_X , self . dev_Z ) , self . dev_y else : yield self . dev_X , self . dev_y