CumPy - Python bindings for CUM
Lightweight python binding over CUM library.
Quickstart
Installation
pip install cumpy
Basic usage
import cumpy as cp
cp.init(cp.Device.CPU)
a = cp.Tensor.from_data((2, 2), [1, 2, 3, 4])
b = cp.Tensor.ones((2, 2)) * 2.0
print(a + b) # addition
print(a * b) # element-wise multiplication
print(a @ b) # matrix product
print(a.sum(), a.mean(), a.norm())
cp.shutdown()
Features
Examples (avaible on github)
examples/basic_tensors.py– creating tensors, arithmetics, unary functions, reductions, transpositions andreshape.examples/matrix_and_vector.py– operations onMatrixiVector, indexingm[r, c]/v[i], dot product, etc.examples/linear_regression.py– linear regresion trained with gradient descent usingTensor.
1 maintainer
Metadata
1 maintainer
Release files for cumpy 0.1.6.7
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cumpy-0.1.6.7-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details for cumpy-0.1.6.7-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
Release files / cumpy-0.1.6.7-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
| Download URL | cumpy-0.1.6.7-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl |
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| Size | 27.8 MB |
| Tags | Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 Python 3 |
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