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@@ -8,17 +8,17 @@ In other words, ClPy enables softwares written in CuPy to work also on OpenCL de
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Current ClPy is beta version, forked from [CuPy v2.1.0](https://github.com/cupy/cupy/releases/tag/v2.1.0).
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ClPy is still under development and works on only limited APIs.
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*Basic [ndarray](https://docs-cupy.chainer.org/en/stable/reference/ndarray.html) are supported, but not perfectly
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*Basic [universal functions](https://docs-cupy.chainer.org/en/stable/reference/ufunc.html) are supported, but not perfectly
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*Most of [custom kernels](https://docs-cupy.chainer.org/en/stable/reference/kernel.html) are supported, but some custom kernel codes might be fail to compile and/or run
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*Only SGEMM is supported in BLAS library
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*Most of [ndarray](https://docs-cupy.chainer.org/en/v2.5.0/reference/ndarray.html) are supported, but not perfectly
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*Most of [universal functions](https://docs-cupy.chainer.org/en/v2.5.0/reference/ufunc.html) are supported, but not perfectly
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*All [custom kernel](https://docs-cupy.chainer.org/en/v2.5.0/reference/kernel.html)s are supported.
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*All BLAS APIs used by ClPy itself are supported. Other types are currently not.
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* Sparse matrix, dnn, rand libraries are not supported
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* half and complex are not supported
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* Works on only a single device
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* No multiple command queue (Stream on CUDA)
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* Dockerfile and some other files are just neglected thus don't work well
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Original CuPy's tests are not passed perfectly. See current [CuPy's test and example results](https://github.com/fixstars/ClPy/wiki/cupy_test_example_results).
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Many original CuPy's tests are passed but not perfectly. See current [CuPy's test and example results](https://github.com/fixstars/ClPy/wiki/cupy_test_example_results).
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[Chainer](https://chainer.org/) works with limited situation.
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Some examples are confirmed to work. See current [Chainer's test and example results](https://github.com/fixstars/ClPy/wiki/chainer_test_example_results).
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