code stringlengths 3 6.57k |
|---|
to_dict(self) |
hasattr(self, 'types') |
x._to_dict() |
hasattr(self, 'categories') |
x._to_dict() |
hasattr(self, 'modification') |
_to_dict(self) |
self.to_dict() |
__str__(self) |
json.dumps(self._to_dict() |
__eq__(self, other: 'UpdatedLabelsOut') |
isinstance(other, self.__class__) |
__ne__(self, other: 'UpdatedLabelsOut') |
ModificationEnum(Enum) |
Value() |
from_dict(cls, _dict: Dict) |
set(_dict.keys() |
set(valid_keys) |
join(bad_keys) |
_dict.get('cell_id') |
Location._from_dict(_dict.get('location') |
_dict.get('text') |
cls(**args) |
_from_dict(cls, _dict) |
cls.from_dict(_dict) |
to_dict(self) |
hasattr(self, 'cell_id') |
hasattr(self, 'location') |
self.location._to_dict() |
hasattr(self, 'text') |
_to_dict(self) |
self.to_dict() |
__str__(self) |
json.dumps(self._to_dict() |
__eq__(self, other: 'Value') |
isinstance(other, self.__class__) |
__ne__(self, other: 'Value') |
TRAINER_REGISTRY.register() |
CrossGrad(TrainerX) |
__init__(self, cfg) |
super() |
__init__(cfg) |
build_model(self) |
print('Building F') |
SimpleNet(cfg, cfg.MODEL, self.num_classes) |
self.F.to(self.device) |
print('# params: {:,}'.format(count_num_param(self.F) |
build_optimizer(self.F, cfg.OPTIM) |
build_lr_scheduler(self.optim_F, cfg.OPTIM) |
self.register_model('F', self.F, self.optim_F, self.sched_F) |
print('Building D') |
SimpleNet(cfg, cfg.MODEL, self.dm.num_source_domains) |
self.D.to(self.device) |
print('# params: {:,}'.format(count_num_param(self.D) |
build_optimizer(self.D, cfg.OPTIM) |
build_lr_scheduler(self.optim_D, cfg.OPTIM) |
self.register_model('D', self.D, self.optim_D, self.sched_D) |
forward_backward(self, batch) |
self.parse_batch_train(batch) |
F.cross_entropy(self.D(input) |
loss_d.backward() |
torch.clamp(input.grad.data, min=-0.1, max=0.1) |
input.grad.data.zero_() |
F.cross_entropy(self.F(input) |
loss_f.backward() |
torch.clamp(input.grad.data, min=-0.1, max=0.1) |
input.detach() |
F.cross_entropy(self.F(input) |
F.cross_entropy(self.F(input_d) |
self.model_backward_and_update(loss_f, 'F') |
F.cross_entropy(self.D(input) |
F.cross_entropy(self.D(input_f) |
self.model_backward_and_update(loss_d, 'D') |
loss_f.item() |
loss_d.item() |
if (self.batch_idx + 1) |
self.update_lr() |
model_inference(self, input) |
self.F(input) |
Foundation (ASF) |
DeleteGlobalAccelerationInstanceRequest(RpcRequest) |
__init__(self) |
RpcRequest.__init__(self, 'Vpc', '2016-04-28', 'DeleteGlobalAccelerationInstance','vpc') |
hasattr(self, "endpoint_map") |
setattr(self, "endpoint_map", endpoint_data.getEndpointMap() |
hasattr(self, "endpoint_regional") |
setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional() |
get_ResourceOwnerId(self) |
self.get_query_params() |
get('ResourceOwnerId') |
set_ResourceOwnerId(self,ResourceOwnerId) |
self.add_query_param('ResourceOwnerId',ResourceOwnerId) |
get_GlobalAccelerationInstanceId(self) |
self.get_query_params() |
get('GlobalAccelerationInstanceId') |
set_GlobalAccelerationInstanceId(self,GlobalAccelerationInstanceId) |
self.add_query_param('GlobalAccelerationInstanceId',GlobalAccelerationInstanceId) |
get_ResourceOwnerAccount(self) |
self.get_query_params() |
get('ResourceOwnerAccount') |
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