TPU usage in colab with single line of code
Before installation Make sure your TPU is on
Installation
To install the package from the PyPi repository you can execute the following command:
pip install tpu_tf2
If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
git clone https://github.com/ashishpatel26/regressionmetrics.git
cd tpu_tf2
pip install .
Usage
from tpu_tf2.tpu import strategy
strategy.num_replicas_in_sync
> output : 8
💁 Thanks for reading and forking.
Metadata
Release files for tpu-tf2 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tpu_tf2-1.1.0.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tpu_tf2-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.3 kB
Release files / tpu_tf2-1.1.0.tar.gz
| Download URL | tpu_tf2-1.1.0.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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Release files / tpu_tf2-1.1.0-py3-none-any.whl
| Download URL | tpu_tf2-1.1.0-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.8.5
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