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Tensor Array Python

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This machine learning library using Tensor-Array library

This project is still in alpha version, we are trying to make this look like the main framework but it is easier to code.

How to install Tensor-Array python version.

Before install this library please install NVIDIA CUDA toolkit first.

It can not work without NVIDIA CUDA toolkit.

If you did not install Python then install Python 3:

apt-get update
apt-get install python3

After that go to command and install:

pip install TensorArray

Testing with the Tensor object.

The Tensor class is a storage that store value and calculate the tensor.

The Tensor.calc_grad() method can do automatic differentiation.

The Tensor.get_grad() method can get the gradient after call Tensor.calc_grad().

import tensor_array.core as ta
import numpy as np

def test_add():
    example_tensor_array = ta.Tensor(np.array([
        [1, 2, 3, 4],
        [5, 6, 7, 8],
        [9, 10, 11, 12],
        [13, 14, 15, 16]
        ], dtype=np.int32))
    example_tensor_array_scalar = ta.Tensor(100)
    example_tensor_sum = example_tensor_array + example_tensor_array_scalar
    print(example_tensor_sum)
    example_tensor_sum.calc_grad()
    print(example_tensor_array.get_grad())
    print(example_tensor_array_scalar.get_grad())

test_add()

Release files for TensorArray 0.0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for TensorArray 0.0.9
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tensorarray-0.0.9-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
tensorarray-0.0.9-cp313-cp313-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ PowerPC 64-le, Linux glibc 2.28+ PowerPC 64-le Details
tensorarray-0.0.9-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details
tensorarray-0.0.9-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
tensorarray-0.0.9-cp312-cp312-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ PowerPC 64-le, Linux glibc 2.28+ PowerPC 64-le Details
tensorarray-0.0.9-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details
tensorarray-0.0.9-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details
tensorarray-0.0.9-cp311-cp311-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ PowerPC 64-le, Linux glibc 2.27+ PowerPC 64-le Details
tensorarray-0.0.9-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details
tensorarray-0.0.9-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
tensorarray-0.0.9-cp310-cp310-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.10 CPython 3.10 Linux glibc 2.27+ PowerPC 64-le, Linux glibc 2.28+ PowerPC 64-le Details
tensorarray-0.0.9-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details
tensorarray-0.0.9-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
tensorarray-0.0.9-cp39-cp39-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.9 CPython 3.9 Linux glibc 2.27+ PowerPC 64-le, Linux glibc 2.28+ PowerPC 64-le Details
tensorarray-0.0.9-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.9 CPython 3.9 Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64 Details
tensorarray-0.0.9-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 Details
tensorarray-0.0.9-cp38-cp38-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl CPython 3.8 CPython 3.8 Linux glibc 2.28+ PowerPC 64-le, Linux glibc 2.27+ PowerPC 64-le Details
tensorarray-0.0.9-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.8 CPython 3.8 Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details

Total release size: 74.8 MB

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Release files / tensorarray-0.0.9-cp38-cp38-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl

Download URL tensorarray-0.0.9-cp38-cp38-manylinux_2_27_ppc64le.manylinux_2_28_ppc64le.whl
Size 4.2 MB
Tags CPython 3.8 Linux glibc 2.27+ PowerPC 64-le Linux glibc 2.28+ PowerPC 64-le
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Release files / tensorarray-0.0.9-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl

Download URL tensorarray-0.0.9-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Size 4.1 MB
Tags CPython 3.8 Linux glibc 2.27+ ARM64 Linux glibc 2.28+ ARM64
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Uploaded via twine/6.1.0 CPython/3.12.9

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