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Hello,
I'm trying to follow these tutorial: https://nvidia.github.io/cuda-quantum/latest/applications/python/unitary_compilation_diffusion_models.html
When calling:
`out_tensors = infer_comp.ge…
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## Description
It seems that `ttnn.reshape` is inconsistent when being performed on single device vs multi-device. Specifically, the inconsistency can be seen when doing a `[W, X, Y*Z]` -> `[W, X, Y,…
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auto-grad graph replicate split_with_sizes(lengths) X times where X = len(lengths) effecting compile time.
I think this repitions might be related to the functionalization view replay? unsure yet.
…
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**Is your feature request related to a problem? Please describe.**
I'm in the process of enabling WH support for my GGML backend. FP32 was emulated with BFP16 on GS due to the lack of native FP32 sup…
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The eager mode is described in the doc as " mostly used to debug and check intermediate results are as expected",
however it seems it has a much greater potential than just this: with support for GP…
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The shape of an input/output at::Tensor matches logical, even when the corresponding TensorView has an non-trivial allocation domain. See https://github.com/NVIDIA/Fuser/blob/2e4ed54ebd09946adef8d38b0…
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Traceback (most recent call last):
File "main.py", line 136, in
main()
File "main.py", line 132, in main
atari_learn(env, task.env_id, num_timesteps=task.max_timesteps, double_dqn=dou…
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Hello,
thanks for the wonderful work on Keras-Core.
I saw the issue keras-team/keras#18420 and keras-team/keras#18467 and wanted to ask about the ideas/roadmap to support ragged tensors.
Will the…
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What I'd love is, for tensors that are called with different shapes, is a sorted list by decreasing frequency. This would be very useful. However, `--verbose` didn't change the output?
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Investigate whether using `Tensor` in backend operations can improve speed.
Relevant materials:
https://github.com/dotnet/core/blob/main/release-notes/9.0/preview/preview4/libraries.md#new-tensort…