o oi @snddlmZddlZddlmZddlmZdededefdd Zdededefd d ZGd d d ejZ dS))partialN)nn)TensorxfreqreturncC ||SN)sinrrr R/home/ubuntu/.local/lib/python3.10/site-packages/kornia/nerf/positional_encoder.py _torch_sin rcCrr )cosr r r r _torch_cosrrc sXeZdZdZddedededdffdd Zedefd d Zd e de fd dZ Z S)PositionalEncoderz0Sine-cosine positional encoder for input points.Fnum_dims num_freqs log_spacerNcst||_ddg|_|rdtd|d|}n tdd|d|}|D]}|jtt|d|jtt |dq)|jt |j|_ dS) a Initialize positional encoder. Args: num_dims: Number of input dimensions (channels): int num_freqs: Number of frequency bands for encoding span: int log_space: Whether frequency sampling should be log spaced: bool cSs|Sr r rr r r 0sz,PositionalEncoder.__init__..g@gg?)rN) super__init__ _num_dims _embed_fnstorchlinspaceappendrrrlen_num_encoded_dims)selfrrr freq_bandsr __class__r r r%s  zPositionalEncoder.__init__cCs|jS)zNumber of encoded dimensions.)r!)r"r r r num_encoded_dims@sz"PositionalEncoder.num_encoded_dimsrcs\jdkr tdjd|jkrtdjdd|jtjfdd|jDddS) zApply positional encoding to input. Args: x: Positionsl (or directional) tensor to encode: Tensor Returns: Tensor with encoded position/direction: Tensor rz Input tensor represents a scalarz"Input tensor number of dimensions z, does not match instantiated dimensionality csg|]}|qSr r ).0fnrr r Vsz-PositionalEncoder.forward..)dim)ndim ValueErrorshaperrcatr)r"rr rr forwardEs zPositionalEncoder.forward)F) __name__ __module__ __qualname____doc__intboolrpropertyr&rr0 __classcell__r r r$r r"s  r) functoolsrrr kornia.corerrrModulerr r r r s