Deep learning

Current implementation of Go binding can not specify options.

GPUOptions struct is in internal package. And go generate doesn't work for protobuf directory. So we can't specify GPUOptions for NewSession.

System information (version)

• OpenCV => 4.2
• Operating System / Platform => Windows 64 Bit
• Compiler => Visual Studio Code 1.56.2

Detailed description

When running cv2.seamlessClone() the error is a bit misleading when the incorrect image path is supplied. It doesn't make it obvious that the problem is in the path

Steps to reproduce

import cv2
# Read i

🚀 Feature

Teach torch.Tensor.scatter_ to handle index.size(d) > src.size(d).

Motivation

Currently, torch.Tensor.scatter_ requires index.size(d) <= src.size(d) for all dimensions d, unless src is float-valued. This constraint seems artificial.

import math
import torch

device = 'cuda'  # fail

Apache Arrow has a first-class tabular file format, Feather, that the Ray Datasets IO layer should support. Combined with Ray Datasets' existing .from_arrow() and .to_arrow() APIs, this would round out our "all-Arrow" experience, which should be as nice as possible given our "distributed Arrow dataset" positioning.

Implementation Note