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torch.sigmoid(pred_outs['conf'])
torch.sigmoid(pred_outs['conf'][:, :, 0])
F.softmax(pred_outs['conf'][:, :, 1:], -1)
F.softmax(pred_outs['conf'], -1)
torch.sigmoid(pred_outs['conf'][:, :, 0])
F.softmax(pred_outs['conf'][:, :, 1:], dim=-1)
F.softmax(pred_outs['conf'], -1)
self.detect(pred_outs, self)
init_console()
len(sys.argv)
set_cfg(sys.argv[1])
Yolact()
net.train()
net.init_weights(backbone_path='weights/' + cfg.backbone.path)
net.cuda()
torch.set_default_tensor_type('torch.cuda.FloatTensor')
torch.zeros((1, 3, cfg.max_size, cfg.max_size)
net(x)
print(p.last_conv_size)
print()
y.items()
print(k + ': ', a.size()
torch.sum(a)
exit()
net(x)
timer.disable('pass2')
MovingAverage()
timer.reset()
timer.env('everything else')
net(x)
avg.add(timer.total_time()
print('\033[2J')
timer.print_stats()
print('Avg fps: %.2f\tAvg ms: %.2f ' % (1/avg.get_avg()
avg.get_avg()
CheckFunctionSetHandler(APIHandler)
post(self)
self.get_json_body()
params.get('api_token', None)
check_function_set(api_endpoint, api_token)
self.log.info(function_set)
self.finish(json.dumps(function_set)
ResourceHandler(APIHandler)
post(self)
self.get_json_body()
params.get('api_token', None)
os.environ.get('GROUP_ID')
self.log.info('group_info with group_id: {}'.format(group_id)
self.finish(json.dumps(group_info(api_endpoint, api_token, group_id)
SubmitJobHandler(APIHandler)
post(self)
self.get_json_body()
params.get('api_token', None)
params.get('name', 'notebook_job')
os.environ.get('GROUP_ID')
params.get('instance_type', None)
params.get('image', os.environ.get('IMAGE_NAME')
params.get('path', None)
params.get('notebook_parameters', '')
self.log.info('group_info with group_id: {}'.format(group_id)
os.path.join(NOTEBOOK_DIR, path)
self.log.info("relative path: " + path)
self.log.info("notebook path: " + fullpath)
params.get('group_name', os.environ.get('GROUP_NAME')
datetime.now()
strftime("%Y%m%d%H%M%S%f")
path.split('/')
pop()
os.path.join(NOTEBOOK_DIR, path.replace(nb_file_name, '')
nb_file_name.replace('.ipynb', '')
os.path.join(NOTEBOOK_DIR, path.replace(nb_file_name, '')
os.path.join(NOTEBOOK_DIR, path.replace(nb_file_name, '')
replace('.ipynb', '-output.ipynb')
copyfile(fullpath, hidden_nb_fullpath)
notebook_parameters.replace(' ', '')
split(';')
parameter.split('=')
format(kv[0], kv[1])
str(e)
format(nb_directory_path, hidden_nb_fullpath, output_nb_fullpath, papermill_parameters, hidden_nb_fullpath)
self.finish(json.dumps(submit_job(api_endpoint, api_token, name, group_id, instance_type, image, command_str)
EnvironmentHandler(APIHandler)
post(self)
self.finish(json.dumps(get_env()
url_pattern(web_app, endpoint, *pieces)
url_path_join(base_url, NAMESPACE, endpoint, *pieces)
setup_handlers(lab_app: LabApp)
setup_globals(lab_app)
apply_api_endpoint_override(logger)
url_pattern(web_app, 'check-function')
url_pattern(web_app, 'resources')
url_pattern(web_app, 'submit-job')
url_pattern(web_app, 'get-env')
web_app.add_handlers(host_pattern, handlers)
logger.info('handler => {}'.format(h)
setup_globals(lab_app)
lab_app.log.info('setup globals')
lab_app.log.info('\tNOTEBOOK_DIR: ' + NOTEBOOK_DIR)
apply_api_endpoint_override(logger)
os.environ.get(ENV_API_ENDPOINT, None)