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added wandb support (#24)
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@@ -17,4 +17,5 @@ torch==1.11.0
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torchmetrics[image]==0.8.2
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torchtyping
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torchvision==0.12.0
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tqdm
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tqdm
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wandb
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+30
-2
@@ -11,6 +11,7 @@ from typing import Dict
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import imageio
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import numpy as np
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import torch
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import wandb
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from omegaconf import DictConfig, ListConfig
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from torch.utils.tensorboard import SummaryWriter
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from torchtyping import TensorType
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@@ -189,6 +190,34 @@ class Writer:
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self.write_scalar(name, scalar, step)
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@decorate_all([check_main_thread])
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class WandbWriter(Writer):
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"""WandDB Writer Class"""
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def __init__(self, save_dir: str):
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super().__init__(save_dir)
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wandb.init(dir=save_dir)
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def write_image(self, name: str, image: TensorType["H", "W", "C"], step: int) -> None:
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"""_summary_
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Args:
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name (str): data identifier
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image (TensorType["H", "W", "C"]): rendered image to write
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"""
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image = torch.permute(image, (2, 0, 1))
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wandb.log({name: wandb.Image(image)}, step=step)
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def write_scalar(self, name: str, scalar: float, step: int) -> None:
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"""Wandb method to write a single scalar value to the logger
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Args:
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name (str): data identifier
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scalar (float): scalar value to write
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"""
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wandb.log({name: scalar}, step=step)
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@decorate_all([check_main_thread])
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class TensorboardWriter(Writer):
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"""Tensorboard Writer Class"""
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@@ -212,8 +241,7 @@ class TensorboardWriter(Writer):
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Args:
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name (str): data identifier
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x (float): x value to write
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y (float): y value to write
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scalar (float): scalar value to write
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"""
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self.tb_writer.add_scalar(name, scalar, step)
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