Delete configs/logger

configs/logger/comet.yaml

@@ -1,12 +0,0 @@
-# https://www.comet.ml
-
-comet:
-  _target_: lightning.pytorch.loggers.comet.CometLogger
-  api_key: ${oc.env:COMET_API_TOKEN} # api key is loaded from environment variable
-  save_dir: "${paths.output_dir}"
-  project_name: "deepscreen"
-  rest_api_key: null
-  # experiment_name: ""
-  experiment_key: null # set to resume experiment
-  offline: False
-  prefix: ""

configs/logger/csv.yaml

@@ -1,8 +0,0 @@
-# csv logger built in lightning
-
-csv:
-  _target_: lightning.pytorch.loggers.csv_logs.CSVLogger
-  save_dir: "${paths.output_dir}"
-  name: "csv/"
-  prefix: ""
-  version: ""

configs/logger/default.yaml

@@ -1,5 +0,0 @@
-defaults:
-  - csv
-#  - mlflow
-#  - wandb
-#  - comet

configs/logger/mlflow.yaml

@@ -1,12 +0,0 @@
-# https://mlflow.org
-
-mlflow:
-  _target_: lightning.pytorch.loggers.mlflow.MLFlowLogger
-  # experiment_name: ""
-  # run_name: ""
-  tracking_uri: "file://${paths.output_dir}/mlflow/" # run `mlflow ui` command inside the `logs/mlflow/` dir to open the UI
-  tags: ${tags}
-  # save_dir: "./mlruns"
-  prefix: ""
-  artifact_location: null
-  # run_id: ""

configs/logger/multiple_loggers.yaml

@@ -1,6 +0,0 @@
-# train with multiple loggers at once
-defaults:
-  - csv
-  - tensorboard
-#  - mlflow
-#  - wandb

configs/logger/neptune.yaml

@@ -1,9 +0,0 @@
-# https://neptune.ai
-
-neptune:
-  _target_: lightning.pytorch.loggers.neptune.NeptuneLogger
-  api_key: ${oc.env:NEPTUNE_API_TOKEN} # api key is loaded from environment variable
-  project: username/deepscreen
-  # name: ""
-  log_model_checkpoints: True
-  prefix: ""

configs/logger/tensorboard.yaml

@@ -1,10 +0,0 @@
-# https://www.tensorflow.org/tensorboard/
-
-tensorboard:
-  _target_: lightning.pytorch.loggers.tensorboard.TensorBoardLogger
-  save_dir: "${paths.output_dir}/tensorboard/"
-  name: null
-  log_graph: False
-  default_hp_metric: True
-  prefix: ""
-  version: ""

configs/logger/wandb.yaml

@@ -1,16 +0,0 @@
-# https://wandb.ai
-
-wandb:
-  _target_: lightning.pytorch.loggers.wandb.WandbLogger
-  # name: "" # name of the run (normally generated by wandb)
-  save_dir: "${paths.output_dir}"
-  offline: True
-  id: null # pass correct id to resume experiment!
-  anonymous: null # enable anonymous logging
-  project: "deepscreen"
-  log_model: False # upload lightning ckpts
-  prefix: "" # a string to put at the beginning of metric keys
-  # entity: "" # set to name of your wandb team
-  group: ""
-  tags: ${tags}
-  job_type: ""