high_order_layers_torch/Basis.py,sha256=1HUYlkgc7xMxb2A85yk7KbbqeLtJIEd545vGWPxC7DE,14763
high_order_layers_torch/FunctionalConvolution.py,sha256=_lGozBr-YDIBGOmXGmQ8lVy-dEAQyWFEbr2XH2n-GrE,20405
high_order_layers_torch/FunctionalConvolutionTranspose.py,sha256=Q-A-nZpfDM0JeGecQYJEdR4hszIclD3iKyUCzmNhCuQ,5189
high_order_layers_torch/LagrangePolynomial.py,sha256=-vq0RPK2rxhiGaCfqfdqDtrshmLw9q5BUcEYaZji74U,5620
high_order_layers_torch/PolynomialLayers.py,sha256=t21054_RKQR7BJRy13UgGl3Y8dKTgSPQtXkppgzHlZs,24883
high_order_layers_torch/ProductLayer.py,sha256=2lui97wOvGvTfS_1406rmN2SOZz-gJbTMbWImqO7qNc,1656
high_order_layers_torch/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
high_order_layers_torch/attentions.py,sha256=vC3hc-mae-Kwc7mjX1vhf7rn6oaYEnkuUwQic--8Tt0,22990
high_order_layers_torch/layers.py,sha256=u3-p7s1KKF670MbtZL4rI9aYI4x3T0tb6QNNDgPLPmY,11242
high_order_layers_torch/modules.py,sha256=gYqMt80PsbHT4P5UO9EvUMNm8jVdPCKY0FnUKgx3rrc,7556
high_order_layers_torch/networks.py,sha256=SpyUUVTc-Wbz7mJ3CYgi3kr2YN1lXpmJPSIHpsLQglI,39985
high_order_layers_torch/positional_embeddings.py,sha256=dGgPY17qxSjwXCMHX7M2c9t03vByD-Dw-xvbp9FfWgE,2488
high_order_layers_torch/sparse_optimizers/__init__.py,sha256=O_S-gX8faE5WJLNUWHgaVvzYmLKi2_f5iywSG8KbnQA,36
high_order_layers_torch/sparse_optimizers/sparse_lion.py,sha256=CcGipoIPRW3b579aNPXg8cl3yeVjvuOCJAU5M_70Bjg,2708
high_order_layers_torch/utils.py,sha256=SReEv9Z8qyywzbqsno--s0JWbALsb44UEqpV4OwlhQk,4161
high_order_layers_torch-2.5.3.dist-info/AUTHORS,sha256=iZz5Yf19jcIRYwUWEaQXxrQk3oGzOygbhjNz2vcKPqQ,75
high_order_layers_torch-2.5.3.dist-info/LICENSE,sha256=A7bpRMVIjtEGu_2lhgpriCvGlHNWmTNGBNdfIMbEvHY,1065
high_order_layers_torch-2.5.3.dist-info/METADATA,sha256=h05Pa8j4rgx0JoOhLH9OewaLaRHMk4xpOY4_AQnuias,24102
high_order_layers_torch-2.5.3.dist-info/WHEEL,sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg,88
high_order_layers_torch-2.5.3.dist-info/RECORD,,
