mera-tvm-runtime

Mera TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems, adapted to Mera (https://github.com/Edgecortix-Inc/mera) environment.

Project description

The author of this package has not provided a project description

1.6.0

Dec 22, 2023

1.5.0

Oct 20, 2023

1.4.0

May 9, 2023

1.3.1

Feb 28, 2023

1.3

Jan 23, 2023

1.2

Sep 21, 2022

1.1.post1

Jun 21, 2022

This version

1.1

Jun 2, 2022

1.0.post1

Apr 21, 2022

1.0

Apr 20, 2022

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

No source distribution files available for this release.See tutorial on generating distribution archives.

Uploaded Jun 2, 2022 CPython 3.6m manylinux: glibc 2.27+ x86-64

Uploaded Jun 2, 2022 CPython 3.6m manylinux: glibc 2.27+ ARM64

Details for the file mera_tvm_runtime-1.1-cp36-cp36m-manylinux_2_27_x86_64.whl.

Download URL: mera_tvm_runtime-1.1-cp36-cp36m-manylinux_2_27_x86_64.whl
Upload date: Jun 2, 2022
Size: 3.5 MB
Tags: CPython 3.6m, manylinux: glibc 2.27+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.9

Hashes for mera_tvm_runtime-1.1-cp36-cp36m-manylinux_2_27_x86_64.whl
Algorithm	Hash digest
SHA256	`a33e76fa95c8566c61d6e722c19c830a8c506a5189f1d5961be37b30a87484e1`
MD5	`ebfedd6bab9633904962c16969199708`
BLAKE2b-256	`d9d0e493912da3638e41dd0f0c03f0a6ddac762de921a359a7c28f5bf0288c99`

Details for the file mera_tvm_runtime-1.1-cp36-cp36m-manylinux_2_27_aarch64.whl.

Download URL: mera_tvm_runtime-1.1-cp36-cp36m-manylinux_2_27_aarch64.whl
Upload date: Jun 2, 2022
Size: 3.4 MB
Tags: CPython 3.6m, manylinux: glibc 2.27+ ARM64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.64.0 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.9

Hashes for mera_tvm_runtime-1.1-cp36-cp36m-manylinux_2_27_aarch64.whl
Algorithm	Hash digest
SHA256	`1ee7a5750573aede3b38b8d0183eabaa1202a1c0ec2247c6933a71780902263b`
MD5	`417483acf5c3a669b0752d446df36e37`
BLAKE2b-256	`f456bf0bec11e88ab5b0a745dfafe95a67c23ef13f47acb3e2974aeeb8e39fc3`