Python gin.operative_config_str() Examples
The following are 5
code examples of gin.operative_config_str().
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Example #1
Source File: trax.py From BERT with Apache License 2.0 | 5 votes |
def _save_gin(output_dir, sw=None): config_path = os.path.join(output_dir, "config.gin") config_str = gin.operative_config_str() with gfile.GFile(config_path, "w") as f: f.write(config_str) if sw: sw.text("gin_config", jaxboard.markdownify_operative_config_str(config_str))
Example #2
Source File: training.py From trax with Apache License 2.0 | 5 votes |
def save_gin(self): assert self._output_dir is not None config_path = os.path.join(self._output_dir, 'config.gin') config_str = gin.operative_config_str() with tf.io.gfile.GFile(config_path, 'w') as f: f.write(config_str) if self._sw: self._sw.text('gin_config', jaxboard.markdownify_operative_config_str(config_str))
Example #3
Source File: trainer_lib.py From trax with Apache License 2.0 | 5 votes |
def save_gin(self): """"Saves the operative gin config, only if it is the chief.""" if not self._is_chief: return assert self._output_dir is not None config_path = os.path.join(self._output_dir, 'config.gin') config_str = gin.operative_config_str() with tf.io.gfile.GFile(config_path, 'w') as f: f.write(config_str) sw = self._train_sw if sw: sw.text('gin_config', jaxboard.markdownify_operative_config_str(config_str))
Example #4
Source File: experiment.py From reaver with MIT License | 5 votes |
def save_gin_config(self): with open(self.config_path, 'w') as cfg_file: cfg_file.write(gin.operative_config_str())
Example #5
Source File: train.py From meta-dataset with Apache License 2.0 | 5 votes |
def record_operative_gin_configurations(operative_config_dir): """Record operative Gin configurations in the given directory.""" gin_log_file = operative_config_path(operative_config_dir) # If it exists already, rename it instead of overwriting it. # This just saves the previous one, not all the ones before. if tf.io.gfile.exists(gin_log_file): tf.io.gfile.rename(gin_log_file, gin_log_file + '.old', overwrite=True) with tf.io.gfile.GFile(gin_log_file, 'w') as f: f.write(gin.operative_config_str())