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Hi,
I have a question about when I just compiled the samples/wasm-c-api :
cmake -DWAMR_BUILD_INTERP=0 -DDWAMR_BUILD_AOT=0 -DWAMR_BUILD_JIT=1 ..
But it still shows me:
-- Build Configurations:
…
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Current code generation with ``DSE=aggressive`` might break in some examples (e.g., TTI) if the backend compiler is not ICC, as GCC doesn't like ``#pragma omp simd`` if the following loop has more the…
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Hello,
First of all, thank you for sharing your work.
I am writing because I have managed to deploy and train Hybridpose on my local machine, but when I launch it via remote Pycharm on a shared …
blo85 updated
4 years ago
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One of Julia's reasons for lose of performance is method invalidation. Also, compilations heavily delays execution. Being able to check where and when compilations and method invalidations take place …
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```
Execution should not block on compiling a function with LLVM or
reoptimizing it with new data. We should send these work units to separate
worker threads, allowing the main threads to carry on uni…
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```
Execution should not block on compiling a function with LLVM or
reoptimizing it with new data. We should send these work units to separate
worker threads, allowing the main threads to carry on uni…
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### Description
I can reproduce this on a v5e-litepod8 TPU. It seems that random calls get stuck if called from a pure_callback call. I have not found a workaround so far. Here's a snippet to reprodu…
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As discussed earlier on Gitter (starting [here](https://gitter.im/numba/numba?at=5cf68107ff3f016baaa36413)), it's desirable to have a `pycc` counterpart for `cuda.jit`. The motivation is
1. avoid Nu…
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I needed to apply a fairly complex dynamic (user-provided) filter expression to a fairly large dataframe, so in hope to speed up this operation I was trying to use Numba to jit compile dynamically-gen…
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I'm attempting to get a fastai model optimized with SageMaker Neo compilation. It looks like I can save out my model in one of three ways.
- regular: `learn.save` which outputs e.g. `resnet34.pth`
…