def forward(self, x):
col = utils.im2col(x, self.kernel_size, self.stride, self.pad)
n, c, kh, kw, out_h, out_w = col.shape
col = col.reshape(n, c, kh * kw, out_h, out_w)
col = col.transpose(0, 1, 3, 4, 2).reshape(-1, kh * kw)
indexes = self.indexes.ravel()
col = col[np.arange(len(indexes)), indexes]
return col.reshape(n, c, out_h, out_w)
def forward(self, x):
col = utils.im2col(x, self.kernel_size, self.stride, self.pad)
n, c, kh, kw, out_h, out_w = col.shape
col = col.reshape(n, c, kh * kw, out_h, out_w)
self.indexes = col.argmax(axis=2)
y = col.max(axis=2)
return y
def forward(self, x, gy):
xp = cuda.get_array_module(x)
col = utils.im2col(x,
self.kernel_size,
self.stride,
self.pad,
to_matrix=False)
gW = xp.tensordot(gy, col, ((0, 2, 3), (0, 4, 5)))
return gW
def forward(self, x, W, b):
kh, kw = W.shape[2:]
col = utils.im2col(x, (kh, kw), self.stride, self.pad)
y = np.tensordot(col, W, ((1, 2, 3), (1, 2, 3)))
if b is not None:
y += b
y = np.rollaxis(y, 3, 1)
# y = np.transpose(y, (0, 3, 1, 2))
return y
def forward(self, x, W, b):
xp = cuda.get_array_module(x)
KH, KW = W.shape[2:]
col = utils.im2col(x, (KH, KW), self.stride, self.pad, to_matrix=False)
y = xp.tensordot(col, W, ((1, 2, 3), (1, 2, 3)))
if b is not None:
y += b
y = xp.rollaxis(y, 3, 1)
# y = np.transpose(y, (0, 3, 1, 2))
return y
def forward(self, x):
col = utils.im2col(x,
self.kernel_size,
self.stride,
self.pad,
to_matrix=False)
N, C, KH, KW, OH, OW = col.shape
col = col.reshape(N, C, KH * KW, OH, OW)
col = col.transpose(0, 1, 3, 4, 2).reshape(-1, KH * KW)
indexes = self.indexes.ravel()
col = col[np.arange(len(indexes)), indexes]
return col.reshape(N, C, OH, OW)
def forward(self, x):
col = utils.im2col(x,
self.kernel_size,
self.stride,
self.pad,
to_matrix=False)
N, C, KH, KW, OH, OW = col.shape
col = col.reshape(N, C, KH * KW, OH, OW)
self.indexes = col.argmax(axis=2)
y = col.max(axis=2)
return y
def forward(self, x):
self.input_shape = x.shape
y = utils.im2col(x, self.kernel_size, self.stride, self.pad,
self.to_matrix)
return y
def forward(self, x, gy):
col = utils.im2col(x, self.kernel_size, self.stride, self.pad)
gW = np.tensordot(gy, col, ((0, 2, 3), (0, 4, 5)))
return gW