def main(args):
comet_api = API()
comet_files = Path(args.root_dir).glob("**/comet.url")
exp_dict = {}
df_list = []
df_keys = []
for path in comet_files:
print(f"Retrieving data from {path}")
with open(path, "r") as f:
url = f.readline()
key = url.split("/")[-1].strip()
exp_dict.update({key: {"path": path}})
exp = comet_api.get_experiment(workspace=args.workspace,
project_name=args.project,
experiment=key)
metrics = exp.get_metrics()
df = metrics2df(metrics)
df["path"] = path
df_list.append(df)
df_keys.append(path.parent)
if args.save_each_csv:
df.to_csv(path.parent / "comet.csv")
df = pd.concat(df_list, keys=df_keys, names=["path", "step"])
if args.output_csv:
df.to_csv(args.output_csv)
"Also grab the state dictionary of the optimizer at the end of the specified epoch"
)
#XMUs9uI19KQNdYrQhuXPnAfpB
args = parser.parse_args()
experiment_key = args.experiment_key
epoch_number = args.epoch_number
apikey = args.api_key
get_optimizer_weights = args.get_optimizer_weights
output_directory = os.path.join(args.output_directory, experiment_key)
if not os.path.isdir(output_directory):
os.makedirs(output_directory)
api = API(api_key=apikey)
experiment: APIExperiment = api.get_experiment("electric-turtle",
"probabilisticbeziercurves",
experiment_key)
assetlist = experiment.get_asset_list()
assetdict = {d['fileName']: d['assetId'] for d in assetlist}
#lookahead_indices = int(experiment.get_parameters_summary(parameter="lookahead_indices")["valueCurrent"])
print("Getting hyperparameters from comet")
datasets_file_name = "datasets.yaml"
experiment_file_name = "experiment_config.yaml"
config_file_name = "model_config.yaml"
config_yaml = experiment.get_asset(assetdict[config_file_name],
return_type="text")
config = yaml.load(io.StringIO(config_yaml), Loader=yaml.SafeLoader)
print("Got config from comet")
print(config)
datasets_yaml = experiment.get_asset(assetdict[datasets_file_name],
}
#XMUs9uI19KQNdYrQhuXPnAfpB
args = parser.parse_args()
experiment_key = args.experiment_key
epoch_number = args.epoch_number
restkey = args.restkey
output_directory = os.path.join(args.output_directory,
experiment_key + "_from_comet")
if not os.path.isdir(output_directory):
os.makedirs(output_directory)
if restkey is None:
api = API()
else:
api = API(rest_api_key=restkey)
experiment: APIExperiment = api.get_experiment("electric-turtle",
"deepracingposepredictor",
experiment_key)
assetlist = experiment.get_asset_list()
assetdict = {d['fileName']: d['assetId'] for d in assetlist}
#get network weight file
weightfilename = "epoch_%d_params.pt" % (epoch_number, )
optimizerfilename = "epoch_%d_optimizer.pt" % (epoch_number, )
print("Getting network weights from comet")
params_binary = experiment.get_asset(assetdict[weightfilename])
#get optimizer weight file
print("Getting optimizer weights from comet")
optimizer_binary = experiment.get_asset(assetdict[optimizerfilename])
parser.add_argument("--epoch_number", type=int, required=False, default=100, help="Experiment key to grab from comet.")
parser.add_argument("--output_directory", type=str, required=False, default=".", help="Where to put the config and data files.")
#XMUs9uI19KQNdYrQhuXPnAfpB
args = parser.parse_args()
experiment_key = args.experiment_key
epoch_number = args.epoch_number
restkey = args.restkey
output_directory = os.path.join(args.output_directory, experiment_key + "_from_comet")
if not os.path.isdir(output_directory):
os.makedirs(output_directory)
if restkey is None:
api = API()
else:
api = API(rest_api_key=restkey)
experiment : APIExperiment = api.get_experiment("electric-turtle", "deepracingpilotnet", experiment_key)
assetlist = experiment.get_asset_list()
assetdict = {d['fileName']: d['assetId'] for d in assetlist}
#get network weight file
weightfilename = "pilotnet_epoch_%d_params.pt" %(epoch_number,)
print("Getting network weights from comet")
params_binary = experiment.get_asset(assetdict[weightfilename])
outputweightfile = os.path.join(output_directory,weightfilename)
with open(outputweightfile, 'wb') as f:
f.write(params_binary)
#get parameters
help="Where to put the config and data files.")
#XMUs9uI19KQNdYrQhuXPnAfpB
args = parser.parse_args()
experiment_key = args.experiment_key
epoch_number = args.epoch_number
restkey = args.restkey
output_directory = os.path.join(args.output_directory, experiment_key)
if not os.path.isdir(output_directory):
os.makedirs(output_directory)
if restkey is None:
api = API()
else:
api = API(rest_api_key=restkey)
experiment: APIExperiment = api.get_experiment("electric-turtle",
"deepracingcnnlstm",
experiment_key)
assetlist = experiment.get_asset_list()
assetdict = {d['fileName']: d['assetId'] for d in assetlist}
#print(assetdict)
#get network weight file
weightfilename = "CNNLSTM_epoch_%d_params.pt" % (epoch_number, )
weightfilenamealt = "epoch_%d_params.pt" % (epoch_number, )
weightfilenamealtalt = "pilotnet_epoch_%d_params.pt" % (epoch_number, )
print("Getting network weights from comet")
try:
params_binary = experiment.get_asset(assetdict[weightfilename])
except KeyError as e:
try:
params_binary = experiment.get_asset(assetdict[weightfilename])
