本文整理汇总了Python中torch.conv2方法的典型用法代码示例。如果您正苦于以下问题：Python torch.conv2方法的具体用法？Python torch.conv2怎么用？Python torch.conv2使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类torch的用法示例。
在下文中一共展示了torch.conv2方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_conv2
# 需要导入模块: import torch [as 别名]
# 或者: from torch import conv2 [as 别名]
def test_conv2(self):
x = torch.rand(math.floor(torch.uniform(50, 100)), math.floor(torch.uniform(50, 100)))
k = torch.rand(math.floor(torch.uniform(10, 20)), math.floor(torch.uniform(10, 20)))
imvc = torch.conv2(x, k)
imvc2 = torch.conv2(x, k, 'V')
imfc = torch.conv2(x, k, 'F')
ki = k.clone()
ks = k.storage()
kis = ki.storage()
for i in range(ks.size()-1, 0, -1):
kis[ks.size()-i+1] = ks[i]
#for i=ks.size(), 1, -1 do kis[ks.size()-i+1]=ks[i] end
imvx = torch.xcorr2(x, ki)
imvx2 = torch.xcorr2(x, ki, 'V')
imfx = torch.xcorr2(x, ki, 'F')
self.assertEqual(imvc, imvc2, 0, 'torch.conv2')
self.assertEqual(imvc, imvx, 0, 'torch.conv2')
self.assertEqual(imvc, imvx2, 0, 'torch.conv2')
self.assertEqual(imfc, imfx, 0, 'torch.conv2')
self.assertLessEqual(math.abs(x.dot(x) - torch.xcorr2(x, x)[0][0]), 1e-10, 'torch.conv2')
xx = torch.Tensor(2, x.size(1), x.size(2))
xx[1].copy_(x)
xx[2].copy_(x)
kk = torch.Tensor(2, k.size(1), k.size(2))
kk[1].copy_(k)
kk[2].copy_(k)
immvc = torch.conv2(xx, kk)
immvc2 = torch.conv2(xx, kk, 'V')
immfc = torch.conv2(xx, kk, 'F')
self.assertEqual(immvc[0], immvc[1], 0, 'torch.conv2')
self.assertEqual(immvc[0], imvc, 0, 'torch.conv2')
self.assertEqual(immvc2[0], imvc2, 0, 'torch.conv2')
self.assertEqual(immfc[0], immfc[1], 0, 'torch.conv2')
self.assertEqual(immfc[0], imfc, 0, 'torch.conv2') 示例2: test_conv3_conv2_eq
# 需要导入模块: import torch [as 别名]
# 或者: from torch import conv2 [as 别名]
def test_conv3_conv2_eq(self):
def reference(x, k, o3, o32):
for i in range(o3.size(1)):
for j in range(k.size(1)):
o32[i].add(torch.conv2(x[i+j-1], k[k.size(1)-j+1]))
self._test_conv_corr_eq(lambda x, k: torch.conv3(x, k), reference) 示例3: test_fconv3_fconv2_eq
# 需要导入模块: import torch [as 别名]
# 或者: from torch import conv2 [as 别名]
def test_fconv3_fconv2_eq(self):
def reference(x, k, o3, o32):
for i in range(o3.size(1)):
for j in range(k.size(1)):
o32[i+j-1].add(torch.conv2(x[i], k[j], 'F'))
self._test_conv_corr_eq(lambda x, k: torch.conv3(x, k, 'F'), reference) 示例4: test_conv2
# 需要导入模块: import torch [as 别名]
# 或者: from torch import conv2 [as 别名]
def test_conv2(self):
x = torch.rand(math.floor(torch.uniform(50, 100)), math.floor(torch.uniform(50, 100)))
k = torch.rand(math.floor(torch.uniform(10, 20)), math.floor(torch.uniform(10, 20)))
imvc = torch.conv2(x, k)
imvc2 = torch.conv2(x, k, 'V')
imfc = torch.conv2(x, k, 'F')
ki = k.clone()
ks = k.storage()
kis = ki.storage()
for i in range(ks.size() - 1, 0, -1):
kis[ks.size() - i + 1] = ks[i]
# for i=ks.size(), 1, -1 do kis[ks.size()-i+1]=ks[i] end
imvx = torch.xcorr2(x, ki)
imvx2 = torch.xcorr2(x, ki, 'V')
imfx = torch.xcorr2(x, ki, 'F')
self.assertEqual(imvc, imvc2, 0, 'torch.conv2')
self.assertEqual(imvc, imvx, 0, 'torch.conv2')
self.assertEqual(imvc, imvx2, 0, 'torch.conv2')
self.assertEqual(imfc, imfx, 0, 'torch.conv2')
self.assertLessEqual(math.abs(x.dot(x) - torch.xcorr2(x, x)[0][0]), 1e-10, 'torch.conv2')
xx = torch.Tensor(2, x.size(1), x.size(2))
xx[1].copy_(x)
xx[2].copy_(x)
kk = torch.Tensor(2, k.size(1), k.size(2))
kk[1].copy_(k)
kk[2].copy_(k)
immvc = torch.conv2(xx, kk)
immvc2 = torch.conv2(xx, kk, 'V')
immfc = torch.conv2(xx, kk, 'F')
self.assertEqual(immvc[0], immvc[1], 0, 'torch.conv2')
self.assertEqual(immvc[0], imvc, 0, 'torch.conv2')
self.assertEqual(immvc2[0], imvc2, 0, 'torch.conv2')
self.assertEqual(immfc[0], immfc[1], 0, 'torch.conv2')
self.assertEqual(immfc[0], imfc, 0, 'torch.conv2') 示例5: test_conv3_conv2_eq_valid
# 需要导入模块: import torch [as 别名]
# 或者: from torch import conv2 [as 别名]
def test_conv3_conv2_eq_valid(self):
def reference(x, k, o3, o32):
for i in range(o3.size(1)):
for j in range(k.size(1)):
o32[i].add(torch.conv2(x[i + j - 1], k[k.size(1) - j + 1]))
self._test_conv_corr_eq(lambda x, k: torch.conv3(x, k), reference) 示例6: test_fconv3_fconv2_eq
# 需要导入模块: import torch [as 别名]
# 或者: from torch import conv2 [as 别名]
def test_fconv3_fconv2_eq(self):
def reference(x, k, o3, o32):
for i in range(o3.size(1)):
for j in range(k.size(1)):
o32[i + j - 1].add(torch.conv2(x[i], k[j], 'F'))
self._test_conv_corr_eq(lambda x, k: torch.conv3(x, k, 'F'), reference)