Hi, I've moved to Cuda 11.0 and I am getting warnings below while compiling. I just can't remember exactly, but I don't think I saw these with 10.2. I don't know if it related, but run_test.py is also failing when it comes to Distribution related tests. I can post test's log when the build is complete, if it is helpful. Thank you.

[3950/5005] Building NVCC (Device) object caffe2/CMakeF

Description

Implement a YOLO model and add it to the DJL model zoo

References

• https://arxiv.org/abs/1506.02640

Issue to track tutorial requests:

• Deep Learning with PyTorch: A 60 Minute Blitz - #69

We do not permit specifying random generators in the poisson encoders. This should be allowed to ensure reproducibility.

It would be helpful to have gates for trig functions with simple derivatives, such as sin, cos, etc. The general pattern can be viewed in grad.arithmetic_ops. A Gate must have a backward method, and a cache method. So for example, the sin, gate would look like:

class Num::Grad::SinGate(T) < Num::Grad::Gate(T)
  getter a : Num::Grad::Variable(T)

  def initialize(@a :

• asarray : converts all array-likes to a numpy array; no copy for arrays
• astensor converts all array-likes to a mygrad tensor; returns tensors unchanged
• assert_almost_equal with various options to include checks of gradients and to include checks ac