def construct(self, input_shape):
"""Construct the convnet the operations for this layer."""
depth = convnet.depth_to_space_channels(input_shape[-1], self.block_size)
op = convnet.create_conv(
(self.patch_size, self.patch_size),
(1, 1),
input_shape[3], depth,
self.bias, self.padding,
self.initializer.construct()
)
op.set_l2_factor(self.l2_factor)
yield op
yield convnet.create_depth_to_space(self.block_size)
def construct(self, input_shape):
"""Construct the convnet the operations for this layer."""
if self.operation.startswith("conv"):
op = convnet.create_conv(
(self.patch_size, self.patch_size),
(self.stride, self.stride),
input_shape[3], self.output_channels,
self.operation.endswith("bias"), self.padding,
self.initializer.construct()
)
op.set_l2_factor(self.l2_factor)
else:
op = convnet.create_pool(
self.operation,
(self.patch_size, self.patch_size),
(self.stride, self.stride),
self.padding
)
yield op
