StridedConvolutionDenseBlock¶
-
class
maze.perception.blocks.joint_blocks.strided_conv_dense.
StridedConvolutionDenseBlock
(*args: Any, **kwargs: Any)¶ A block containing multiple subsequent strided convolutions followed by flattening and a dense layer block.
For details on the convolution part see
StridedConvolutionBlock
. For details on flattening seeFlattenBlock
. For details on dense layers seeDenseBlock
.- Parameters
in_keys – One key identifying the input tensors.
out_keys – One key identifying the output tensors.
in_shapes – List of input shapes.
hidden_channels – List containing the number of hidden channels for hidden layers.
hidden_kernels – List containing the size of the convolving kernels.
convolution_dimension – Dimension of the convolution to use [1, 2, 3]
hidden_strides – List containing the strides of the convolutions.
hidden_dilations – List containing the spacing between kernel elements.
hidden_padding – List containing the padding added to both sides of the input
padding_mode – ‘zeros’, ‘reflect’, ‘replicate’ or ‘circular’.
hidden_units – List containing the number of hidden units for hidden layers.
non_lin – The non-linearity to apply after each layer.
-
forward
(block_input: Dict[str, torch.Tensor]) → Dict[str, torch.Tensor]¶ (overrides
PerceptionBlock
)implementation of
ShapeNormalizationBlock
interface