implementing fake_quantize_per_channel_affine

[MovGP0]

this PR contains the following changes:

• implementation of torch.fake_quantize_per_channel_affine
• cleanup of AdjustGamma class

[NiklasGustafsson]

Error in all builds:

test\TorchSharpTest\TestTorchTensor.cs(7771,19): error CS0623: Array initializers can only be used in a variable or field initializer. 

[MovGP0]

@NiklasGustafsson the Array initializer should have been new double[,,] instead of new double[][][]. have fixed it in a new commit.

Remark: I should build and run tests before committing. However, my local build still doesn't work all the time, so using the CI is my workaround for now 😖

[NiklasGustafsson]

Remark: I should build and run tests before committing. However, my local build still doesn't work all the time, so using the CI is my workaround for now 😖

Understood. Here are test failures:

Failed TorchSharp.TestTensor.TestFakeQuantizePerChannelAffine [22 ms]
  Error Message:
   System.Runtime.InteropServices.ExternalException : !needs_dynamic_casting<func_t>::check(iter) INTERNAL ASSERT FAILED at "../aten/src/ATen/native/cpu/Loops.h":308, please report a bug to PyTorch. 
Exception raised from cpu_kernel at ../aten/src/ATen/native/cpu/Loops.h:308 (most recent call first):

[NiklasGustafsson]

This looks like a local VS Code file. should it really have been checked in?

[MovGP0]

no. it shouldn't. Will remove the file and add an entry to .gitignore.

Haven't found the time to fix the issue with the unit test yet :-/ Trying to analyze & fix it next weekend.

[NiklasGustafsson]

@MovGP0 -- ready to merge? If so, please add something to the top of the RELEASENOTES.md file explaining the API additions. We're working on 0.99.5 now -- planning to release it before the end of the week.

[NiklasGustafsson]

Sorry, I had to make a release of 0.99.5 today.

[NiklasGustafsson]

@MovGP0 -- Ping! Is this ready to merge? It'd be great to get a little one-line blurb on this change for the release notes.

[NiklasGustafsson]

Huh? Is this just because the test is really just looking for an exception in the call?

[MovGP0]

Took this code from the official documentation. It's the minimal amount of testing.

Should test the result values, but would need to get rid of the random initializer.

[NiklasGustafsson]

Either use a Generator instance, or (I do this frequently) just create a tensor from the random values in the PyTorch doc and then the correct results should be right there in the documentation already...

[MovGP0]

Sorry, I had to make a release of 0.99.5 today.

Hey, sorry that I reply this late. Have the championships this and next month and also a new job, so spending all my free time with training or learning 😔 Will probably find time in 4 weeks for further contributions 😊

[NiklasGustafsson]

@MovGP0 -- do you want to keep this PR open?