File size: 3,122 Bytes
b759a14 da86f7f b759a14 175ba40 b759a14 da86f7f b759a14 afa0345 175ba40 b759a14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 | import os
import sys
import requests
"""
Submission script for the Robustness task.
Submission Requirements (read carefully to avoid automatic rejection):
1. FILE FORMAT
----------------
- The file must be a PyTorch state dict saved as a .pt file.
- Save only the state dict, not the full model instance:
torch.save(model.state_dict(), "model.pt") # correct
torch.save(model, "model.pt") # wrong
2. MODEL ARCHITECTURE
----------------------
- You must specify the model architecture using the model-name field.
- Allowed values: resnet18, resnet34, resnet50
- The architecture must match the state dict you are submitting.
3. MODEL REQUIREMENTS
----------------------
- Input shape must be (1, 3, 32, 32)
- Output shape must be (1, 9)
- The final fc layer must be replaced to output 9 classes
4. EVALUATION
--------------
- Your model must achieve clean accuracy greater than 50% to be accepted.
- Submissions below this threshold will be automatically rejected.
- Score = 0.5 * clean accuracy + 0.5 * robustness accuracy
5. TECHNICAL LIMITS
--------------------
- Only one submission per group every 60 minutes.
- If your submission fails due to an error on your side, the cooldown is 2 minutes.
Your submission will fail if:
- The file is not a valid .pt state dict
- The model-name does not match the submitted state dict
- The output shape is not (1, 9)
- The input shape is not (1, 3, 32, 32)
- Clean accuracy is below 50%
"""
BASE_URL = "http://34.63.153.158"
API_KEY = "YOUR_API_KEY_HERE" # replace with your actual API key
MODEL_PATH = "PATH/TO/YOUR/MODEL.pt" # replace with your actual model path
MODEL_NAME = "resnet18" # replace with your actual model architecture - resnet18, resnet34, or resnet50
SUBMIT = True # set to True to enable submission
TASK_ID = "03-robustness" # donot change
def die(msg):
print(f"{msg}", file=sys.stderr)
sys.exit(1)
if SUBMIT:
if not os.path.isfile(MODEL_PATH):
die(f"File not found: {MODEL_PATH}")
try:
with open(MODEL_PATH, "rb") as f:
files = {"file": (os.path.basename(MODEL_PATH), f, "application/x-pytorch")}
resp = requests.post(
f"{BASE_URL}/submit/{TASK_ID}",
headers={"X-API-Key": API_KEY},
files=files,
data={"model_name": MODEL_NAME},
# timeout=(10, 520),
)
try:
body = resp.json()
except Exception:
body = {"raw_text": resp.text}
if resp.status_code == 413:
die("Upload rejected: file too large (HTTP 413). Reduce size and try again.")
resp.raise_for_status()
print("Successfully submitted.")
print("Server response:", body)
except requests.exceptions.RequestException as e:
detail = getattr(e, "response", None)
print(f"Submission error: {e}")
if detail is not None:
try:
print("Server response:", detail.json())
except Exception:
print("Server response (text):", detail.text)
sys.exit(1) |