60a342edc8b501802135df44869353cc8604d838,gpytorch/kernels/kernel.py,Kernel,__call__,#Kernel#Any#Any#,8
Before Change
if x2.data.ndimension() == 1:
x2 = x2.view(-1, 1)
assert(x1.size(1) == x2.size(1))
return super(Kernel, self).__call__(x1, x2, **params)
After Change
x1 = x1.unsqueeze(0)
x2 = x2.unsqueeze(0)
res = super(Kernel, self).__call__(x1, x2, **params)
if not is_batch:
res = res[0]
return res
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 6
Instances
Project Name: cornellius-gp/gpytorch
Commit Name: 60a342edc8b501802135df44869353cc8604d838
Time: 2018-01-11
Author: gpleiss@gmail.com
File Name: gpytorch/kernels/kernel.py
Class Name: Kernel
Method Name: __call__
Project Name: cornellius-gp/gpytorch
Commit Name: 0f8802fba8f55cd66300017fdf9b7189183ff9d5
Time: 2019-04-12
Author: gpleiss@gmail.com
File Name: gpytorch/kernels/product_structure_kernel.py
Class Name: ProductStructureKernel
Method Name: __call__
Project Name: cornellius-gp/gpytorch
Commit Name: b821df469dbf44ab1f1f3564c454eb2787cd412b
Time: 2019-04-11
Author: gpleiss@gmail.com
File Name: gpytorch/kernels/product_structure_kernel.py
Class Name: ProductStructureKernel
Method Name: __call__
Project Name: cornellius-gp/gpytorch
Commit Name: fc1ace381f6772e341f56faa03ddd646c82b64cc
Time: 2018-08-28
Author: gardner.jake@gmail.com
File Name: gpytorch/kernels/kernel.py
Class Name: Kernel
Method Name: forward_diag