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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mera_tvm_full-1.4.0-cp38-cp38-manylinux_2_27_x86_64.whl.
File metadata
- Download URL: mera_tvm_full-1.4.0-cp38-cp38-manylinux_2_27_x86_64.whl
- Upload date:
- Size: 32.0 MB
- Tags: CPython 3.8, manylinux: glibc 2.27+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
17ac518602fbee26fae9944f6cf913818594698ca69b3efcc614f9e62827aa6b
|
|
| MD5 |
088d80c050542279732c7caf447c5dd6
|
|
| BLAKE2b-256 |
65f756a7360e7f935aad0e6877b4fe13e0393e2bc62cf66803ad3aafeed04608
|
File details
Details for the file mera_tvm_full-1.4.0-cp36-cp36m-manylinux_2_27_x86_64.whl.
File metadata
- Download URL: mera_tvm_full-1.4.0-cp36-cp36m-manylinux_2_27_x86_64.whl
- Upload date:
- Size: 31.8 MB
- Tags: CPython 3.6m, manylinux: glibc 2.27+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9bc55e572707e253e7ff85f46f171153997db4d64ab8901c5e4a8c8ea71c2e8
|
|
| MD5 |
4f9affafbe1b3b150c9aa80935af4125
|
|
| BLAKE2b-256 |
fc85fa01d4fcf17b04d84acce49d55bb90c4036615ff5006ed52800fb3ac60fd
|
