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Fix broken APIs and hardcoded wandb entity in Classification Transformers #231

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Fix broken APIs and hardcoded wandb entity in Classification Transformers #231

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11 changes: 6 additions & 5 deletions DeepLense_Classification_Transformers_Archil_Srivastava/eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -56,9 +56,10 @@ def evaluate(model, data_loader, loss_fn, device):
# Concatenate all results
logits, y = torch.cat(logits), torch.cat(y)
loss.append(loss_fn(logits, y))
accuracy.append(accuracy_fn(logits, y, num_classes=NUM_CLASSES))
class_auroc.append(auroc_fn(logits, y, num_classes=NUM_CLASSES, average=None))
macro_auroc.append(auroc_fn(logits, y, num_classes=NUM_CLASSES, average="macro"))
accuracy.append(accuracy_fn(logits, y, task="multiclass", num_classes=NUM_CLASSES))
class_auroc.append(auroc_fn(logits, y, task="multiclass", num_classes=NUM_CLASSES, average=None))
micro_auroc.append(auroc_fn(logits, y, task="multiclass", num_classes=NUM_CLASSES, average="micro"))
macro_auroc.append(auroc_fn(logits, y, task="multiclass", num_classes=NUM_CLASSES, average="macro"))

result = {
"ground_truth": y,
Expand Down Expand Up @@ -93,7 +94,7 @@ def evaluate(model, data_loader, loss_fn, device):

# Start wandb run
with wandb.init(
entity="_archil", project=run_config.project, id=run_config.runid, resume="must"
project=run_config.project, id=run_config.runid, resume="must"
):
# Get best device on machine
device = get_device(run_config.device)
Expand Down Expand Up @@ -169,7 +170,7 @@ def evaluate(model, data_loader, loss_fn, device):
roc_auc = dict()
for idx, cls in enumerate(LABELS):
class_truth = (metrics["ground_truth"].numpy() == idx).astype(int)
class_pred = torch.nn.functional.softmax(metrics["logits"]).numpy()[
class_pred = torch.nn.functional.softmax(metrics["logits"], dim=-1).numpy()[
..., idx
]
fpr[idx], tpr[idx], _ = roc_curve(class_truth, class_pred)
Expand Down
3 changes: 1 addition & 2 deletions DeepLense_Classification_Transformers_Archil_Srivastava/train.py
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Expand Up @@ -234,7 +234,6 @@ def train(

# Start wandb run
with wandb.init(
entity="_archil",
project=run_config.project,
config=run_config,
group=group,
Expand Down Expand Up @@ -319,7 +318,7 @@ def train(
# Scheduler
if run_config.decay_lr:
scheduler = CosineAnnealingWarmRestarts(
optimizer, T_0=15, T_mult=1, eta_min=1e-6, verbose=True
optimizer, T_0=15, T_mult=1, eta_min=1e-6
)
else:
scheduler = None
Expand Down
2 changes: 1 addition & 1 deletion DeepLense_Classification_Transformers_Archil_Srivastava/utils.py
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Expand Up @@ -29,7 +29,7 @@ def get_device(device):
return xm.xla_device()
if (device == "cuda" or device == "best") and torch.cuda.is_available():
return "cuda"
if (device == "mps" or device == "best") and torch.has_mps:
if (device == "mps" or device == "best") and torch.backends.mps.is_built():
return "mps"
if device == "cpu" or device == "best":
return "cpu"
Expand Down