raghavian
commented
1 year ago Looks like the energiservice api which we use to query the carbon emissions changed their string format. We will release a bug fix. For now, if you change the query method in energidataservice.py in your local installation it should work. You can find this in your installation here C:\Users\user\anaconda3\envs\gpu2\lib\site-packages\carbontracker\emissions\intensity\intensity.py
def _emission_prognosis(self, time_dur):
from_str, to_str = self._interval(time_dur=time_dur)
from_str = from_str.replace(' ','T')
to_str = to_str.replace(' ','T')
url = "https://api.energidataservice.dk/dataset/CO2Emis?start=" + from_str + "&end=" + to_str + "&limit=4"
response = requests.get(url)
if not response.ok:
raise exceptions.CarbonIntensityFetcherError(response.json())
data = response.json()["records"]
carbon_intensities = [record["CO2Emission"] for record in data]
return np.mean(carbon_intensities)
dmdequin
PedramBakh
When running carbon tracker like this:
tracker = CarbonTracker(epochs=100)
correct = 0 wrong = 0 tracker.epoch_start() for i in range(100): true_label = id2label[val_labels[i].item()] img = T.ToPILImage()(val_features[i].squeeze()) inputs = processor(images=img, return_tensors="pt").to(device) pixel_values = inputs.pixel_values
outputs = model(pixel_values) logits = outputs.logits logits.shape prediction = logits.argmax(-1) prediction_str = model.config.id2label[prediction.item()]
display(img) print("Predicted class:", prediction_str) print("True class:", true_label) if true_label == prediction_str: correct += 1 print("correct") else: wrong += 1 print("wrong")
tracker.epoch_end() tracker.stop()
On an Intel(R) Core(TM) i9-10900KF CPU @ 3.70GHz with 16 GB RAM, NVIDIA GeForce GTX 980 Ti and Windows 10 in Jupyter Notebook, I get the following output from CarbonTracker:
CarbonTracker: Actual consumption for 1 epoch(s): Time: 0:00:05 Energy: 0.000152 kWh CO2eq: 0.006405 g This is equivalent to: 0.000060 km travelled by car CarbonTracker: INFO - Traceback (most recent call last): File "C:\Users\user\anaconda3\envs\gpu2\lib\site-packages\requests\models.py", line 971, in json return complexjson.loads(self.text, **kwargs) File "C:\Users\user\anaconda3\envs\gpu2\lib\json__init__.py", line 346, in loads return _default_decoder.decode(s) File "C:\Users\user\anaconda3\envs\gpu2\lib\json\decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "C:\Users\user\anaconda3\envs\gpu2\lib\json\decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "C:\Users\user\anaconda3\envs\gpu2\lib\site-packages\carbontracker\emissions\intensity\intensity.py", line 117, in carbon_intensity carbon_intensity = fetcher.carbon_intensity(g_location, time_dur) File "C:\Users\user\anaconda3\envs\gpu2\lib\site-packages\carbontracker\emissions\intensity\fetchers\energidataservice.py", line 21, in carbon_intensity ci = self._emission_prognosis(time_dur=time_dur) File "C:\Users\user\anaconda3\envs\gpu2\lib\site-packages\carbontracker\emissions\intensity\fetchers\energidataservice.py", line 48, in _emission_prognosis raise exceptions.CarbonIntensityFetcherError(response.json()) File "C:\Users\user\anaconda3\envs\gpu2\lib\site-packages\requests\models.py", line 975, in json raise RequestsJSONDecodeError(e.msg, e.doc, e.pos) requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
CarbonTracker: Predicted consumption for 100 epoch(s): Time: 0:08:26 Energy: 0.015250 kWh CO2eq: 1.462028 g This is equivalent to: 0.013600 km travelled by car CarbonTracker: Finished monitoring.