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Update to 0.1.6 with full datatype supports and sjlt's transpose
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pyproject.toml

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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "sjlt"
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version = "0.1.5.1"
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version = "0.1.6"
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description = "Sparse Johnson-Lindenstrauss Transform with CUDA acceleration"
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readme = "README.md"
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license = {text = "MIT"}

setup.py

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@@ -76,7 +76,7 @@ def get_cuda_arch_flags():
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setup(
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name="sjlt",
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version="0.1.5.1",
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version="0.1.6",
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author="Pingbang Hu",
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description="A PyTorch package for Sparse Johnson-Lindenstrauss Transform with CUDA.",
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long_description=open("README.md").read(),

sjlt/__init__.py

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using the Johnson-Lindenstrauss lemma for dimensionality reduction.
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"""
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__version__ = "0.1.5.1"
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__version__ = "0.1.6"
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__author__ = "Pingbang Hu"
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import torch

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