value 扩充时指定补充值,但是value只在mode=’constant’有效,即使用value填充在扩充出的新维度位置,而在’reflect’和’replicate’模式下,value不可赋值 2. F.pad透彻理解 为了方便从可视角度上分析F.pad的实际效果,首先给出空值矩阵,并且为了能够让宁能复现效果,实际代码全部给出,并最小化解释复杂度。 代码语言...
print("F.pad(x, pad=pad, mode='constant', value=0)") print(F.pad(x, pad=pad, mode='constant', value=0)) print("F.pad(x, pad=pad, mode='replicate')") print(F.pad(x, pad=pad, mode='replicate')) print("F.pad(x, pad=pad, mode='reflect')") print(F.pad(x, pad=pad...
F.pad是pytorch内置的tensor扩充函数,便于对数据集图像或中间层特征进行维度扩充,下面是pytorch官方给出的函数定义。 torch.nn.functional.pad(input, pad, mode='constant', value=0) 1. 函数变量说明: input 需要扩充的tensor,可以是图像数据,抑或是特征矩阵数据 pad 扩充维度,用于预先定义出某维度上的扩充参数 ...
pad2,0,0)# Add paddingimg=F.pad(img,pad,"constant",value=pad_value)returnimg,pad# original ...
pad1,pad2,0,0)# Add paddingimg=F.pad(img,pad,"constant",value=pad_value)returnimg,pad# ...
pad = (0, 0, pad1, pad2) if h <= w else (pad1, pad2, 0, 0) # Add padding img = F.pad(img, pad, "constant", value=pad_value)这里的意思是如果高小于宽的话就在高的两个方向上添加为0的pad,所以这个向量的四个坐标方向应该左\右\上\下...
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Fix for return value type conversion of bad mutex error in logging function Fix NID conflict NID_givenName and NID_md5WithRSAEncryption Fix unguarded XFPRINTF calls with opensslextra build Fix wolfSSL_ASN1_INTEGER_to_BN for negative values Fix for potential ASN1_STRING leak in wolfSSL_X509_NAME...
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