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Hi!
Are there plans for making a low precision inference mode like many other neural network frameworks out there?
Would be really helpful for embedded applications where we have very limited memory…
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Hi!
`README.rst` states that:
>Only a subset of the TIFF specification is supported, mainly uncompressed and losslessly compressed 2**(0 to 6) bit integer, 16, 32 and 64-bit float, grayscale and RGB…
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Biodiversity observations in databases such as the [Atlas of Living Australia](https://ala.org.au) are often recorded at an intentionally low level of spatial precision. This process - known as 'obfus…
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i set the RPN_SCORE_THRESH = 0.90,and RPN_NMS_THRESH = 0.001
but the results have very much boxes that not include anything
does anyone know how to solve it
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I am encountering some strange performance behavior on the A770. For example, taking the CIFAR-10 example in the [documentation](https://intel.github.io/intel-extension-for-pytorch/xpu/latest/tutorial…
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by default, torchtitan use FSDP2 mixed precision (param_dtype=bfloat16, reduce_dtype=float32)
for low-precision dtypes (float8 and int8), it's nature to compare loss curve with bfloat16 and see how…
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Hello,
Similarly to #3, I've tried reproducing the `demo.py` benchmark on an H100 and an A6000 and I'm also seeing no speedup on these platforms at lower precisions.
It was mentioned this is du…
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Has anybody had similar issues? I tried negative sampling, but this does not improve the result a lot.
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Dear developer.
I am working on measuring the performance of vg using Illumina Platinum Genome data.
Compared to hisat2, it was confirmed that indel precision in vg was too low.
I used 1KG refe…
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If I send 2 messages in a row **really** quick or forward (on mobile app) 2 messages at once, sometimes nchat show them in the wrong order. I presume this happens because nchat is using low time preci…