Yuanhao Ji shink

<mirror>
  <id>confluent</id>
  <mirrorOf>confluent</mirrorOf>
  <name>Confluent</name>
  <url>https://packages.confluent.io/maven/</url>
</mirror>

	if __name__ == '__main__':
	import torch

	torch.set_default_device('cpu')

	t1 = torch.tensor([1, 2, 3, 3, 4, 5, 6, 7, 8], dtype=torch.float)
	res1 = torch.histc(t1, 5, 7, 7)
	print(res1)

	t2 = torch.tensor([7], dtype=torch.float)

	if __name__ == '__main__':
	from kan import *
	import torch
	import torchvision

	# create a KAN: 2D inputs, 1D output, and 5 hidden neurons. cubic spline (k=3), 5 grid intervals (grid=5).
	model = KAN(width=[2, 5, 1], grid=5, k=3, device='cpu', seed=0)

	# create dataset f(x,y) = exp(sin(pix)+y^2)
	f = lambda x: torch.exp(torch.sin(torch.pi * x[:, [0]]) + x[:, [1]] ** 2)

	# device info
	CONFIG_TARGET_ramips=y
	CONFIG_TARGET_ramips_mt7621=y
	CONFIG_TARGET_ramips_mt7621_DEVICE_phicomm_k2p=y

	# mips fpu
	CONFIG_KERNEL_MIPS_FPU_EMULATOR=y

	# package
	CONFIG_PACKAGE_curl=y