ashpy
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zurutech
TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.11.2 to 3.15.0. Release notes Sourced from protobuf's releases. Protocol Buffers v3.15.0 Protocol Compiler Optional fields for proto3 are enabled by default, and no longer require the...
**System information** - AshPy version (you are using): `0.4.0` - Are you willing to contribute it (Yes/No): Yes **Describe the feature and the current behavior/state** Currently, we were stuck using...
## Description Fixes #58 Fixes #57 Fixes #53 Fixes #60 Fixes examples (they were broken) ## Type of change Please delete options that are not relevant. - [x] Bugfix (i.e.,...
The logdir can be defined in trainers and in metrics. The actual behaviour is to override the metric's logdir using the trainer's logdir. However, the logdir parameter in trainer is...
``` StrategyBase.experimental_run_v2 (from tensorflow.python.distribute.distribute_lib) is deprecated and will be removed in a future version. Instructions for updating: renamed to `run` ```
**System information** - AshPy version (you are using): 0.4.0 - Are you willing to contribute it (Yes/No): Yes **Describe the feature and the current behavior/state** TensorBoard images should be logged...
The default value for the `processing_predictions` argument of `ashpy.metrics.ClassifierMetric` does lead to some issues when kept at default while working with metrics such as FBetaScore, Precision and Recall.
Self explanatory `ashpy.utils`is missing from the API reference.