feat: add ignite loggers in sidebar [wip] (#29)

* feat: add ignite loggers in sidebar

* add loggers handler in main.py

* fix: tensorboard -> tb, define optimizers, evaluators

* fix: missing arg in tb logging

* fix: clear template variable name for requirements

templates/_base/_handlers.pyi

@@ -4,16 +4,67 @@
         trainer=trainer,
         train_sampler=None,
         to_save=to_save,
-        output_path='{{ output_path }}',
-        save_every_iters={{ save_every_iters }},
-        n_saved={{ n_saved }},
-        log_every_iters={{ log_every_iters }},
-        with_pbars={{ with_pbars }},
-        with_pbar_on_iters={{ with_pbar_on_iters }},
-        stop_on_nan={{ stop_on_nan }},
-        clear_cuda_cache={{ clear_cuda_cache }},
+        output_path=config.output_path,
+        save_every_iters=config.save_every_iters,
+        n_saved=config.n_saved,
+        log_every_iters=config.log_every_iters,
+        with_pbars=config.with_pbars,
+        with_pbar_on_iters=config.with_pbar_on_iters,
+        stop_on_nan=config.stop_on_nan,
+        clear_cuda_cache=config.clear_cuda_cache,
         lr_scheduler=None,
         with_gpu_stats=False,
         output_names=None,
     )
     {% endif %}
+    {% if logger_deps == 'clearml' %}
+    logger_handler = common.setup_clearml_logging(
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% elif logger_deps == 'mlflow' %}
+    logger_handler = common.setup_mlflow_logging(
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% elif logger_deps == 'neptune-client' %}
+    logger_handler = common.setup_neptune_logging(
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% elif logger_deps == 'polyaxon' %}
+    logger_handler = common.setup_plx_logging(
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% elif logger_deps == 'tensorboard' %}
+    logger_handler = common.setup_tb_logging(
+        output_path=config.filepath,
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% elif logger_deps == 'visdom' %}
+    logger_handler = common.setup_visdom_logging(
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% elif logger_deps == 'wandb' %}
+    logger_handler = common.setup_wandb_logging(
+        trainer=trainer,
+        optimizers=optimizers,
+        evaluators=evaluators,
+        log_every_iters=config.logger_log_every_iters,
+    )
+    {% endif %}

templates/gan/_sidebar.py

@@ -8,8 +8,6 @@ def dataset_options(config):
         ["cifar10", "lsun", "imagenet", "folder", "lfw", "fake", "mnist"],
     )
     config["data_path"] = st.text_input("Dataset path (data_path)", "./")
-
-    config["filepath"] = st.text_input("Logging file path (filepath)", "./logs")
     st.markdown("---")
 
 
@@ -79,10 +77,10 @@ def ignite_handlers_options(config):
     )
     config["n_saved"] = st.number_input("Number of best models to store (n_saved)", min_value=1, value=2)
     config["log_every_iters"] = st.number_input(
-        "Logging interval for iteration progress bar",
+        "Logging interval for iteration progress bar (log_every_iters)",
         min_value=1,
         value=100,
-        help="Setting to a lower value can cause tqdm" " to fluch quickly for fast trainings",
+        help="Setting to a lower value can cause `tqdm` to fluch quickly for fast trainings",
     )
     config["with_pbars"] = st.checkbox(
         "Show two progress bars",
@@ -106,6 +104,33 @@ def ignite_handlers_options(config):
     )
     st.markdown("---")
     config["setup_common_training_handlers"] = True
+    if config["with_pbars"]:
+        config["handler_deps"] = "tqdm"
+
+
+def ignite_loggers_options(config):
+    st.markdown("## Ignite Loggers Options")
+    config["filepath"] = st.text_input(
+        "Logging file path (filepath)",
+        "./logs",
+        help="This option will be used by both python logging and ignite loggers if possible",
+    )
+    if st.checkbox("Use experiment tracking system ?", value=True):
+        config["logger_deps"] = st.selectbox(
+            "Select experiment eracking system",
+            ["ClearML", "MLflow", "Neptune", "Polyaxon", "TensorBoard", "Visdom", "WandB"],
+            index=4,
+        ).lower()
+        # for logger requirement
+        if config["logger_deps"] in ("neptune", "polyaxon"):
+            config["logger_deps"] += "-client"
+        config["logger_log_every_iters"] = st.number_input(
+            "Logging interval for experiment tracking system (logger_log_every_iters)",
+            min_value=1,
+            value=100,
+            help="This logging interval is iteration based.",
+        )
+    st.markdown("---")
 
 
 def model_options(config):
@@ -143,6 +168,7 @@ def get_configs() -> dict:
         training_options(config)
         distributed_options(config)
         ignite_handlers_options(config)
+        ignite_loggers_options(config)
         model_options(config)
 
     return config

templates/gan/main.pyi

@@ -91,6 +91,8 @@ def run(
 
     # attach ignite handlers
     to_save = {'netD': netD, 'netG': netG, 'optimizerD': optimizerD, 'optimizerG': optimizerG, 'trainer': trainer}
+    optimizers = {'optimizerD': optimizerD, 'optimizerG': optimizerG}
+    evaluators = None
     {% include "_handlers.pyi" %}
 
     # attach progress bar

templates/gan/requirements.txt

@@ -3,3 +3,5 @@ torchvision
 pytorch-ignite
 matplotlib
 pandas
+{{ handler_deps }}
+{{ logger_deps }}

templates/gan/utils.pyi

@@ -13,11 +13,6 @@ DEFAULTS = {
         "type": str,
         "help": "datasets path ({{ data_path }})",
     },
-    "filepath": {
-        "default": "{{ filepath }}",
-        "type": str,
-        "help": "logging file path ({{ filepath }})",
-    },
     # dataloader options
     "batch_size": {
         "default": {{batch_size}},
@@ -134,6 +129,17 @@ DEFAULTS = {
         "type": bool,
         "help": "clear cuda cache every end of epoch",
     },
+    # ignite logger options
+    "logger_log_every_iters": {
+        "default": {{logger_log_every_iters}},
+        "type": int,
+        "help": "logging interval for experiment tracking system ({{logger_log_every_iters}})",
+    },
+    "filepath": {
+        "default": "{{ filepath }}",
+        "type": str,
+        "help": "logging file path ({{ filepath }})",
+    },
     # model options
     "z_dim": {
         "default": {{z_dim}},