code stringlengths 3 6.57k |
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nn.Embedding(config.n_positions, config.n_embd) |
Block(config.n_ctx, config, scale=True) |
nn.ModuleList([copy.deepcopy(block) |
range(config.n_layer) |
LayerNorm(config.n_embd, eps=config.layer_norm_epsilon) |
set_embeddings_weights(self, model_embeddings_weights) |
nn.Linear(embed_shape[1], embed_shape[0], bias=False) |
forward(self, input_ids, position_ids=None, token_type_ids=None, past=None) |
len(self.h) |
size(-2) |
torch.arange(past_length, input_ids.size(-1) |
position_ids.unsqueeze(0) |
expand_as(input_ids) |
input_ids.size() |
input_ids.view(-1, input_ids.size(-1) |
position_ids.view(-1, position_ids.size(-1) |
self.wte(input_ids) |
self.wpe(position_ids) |
token_type_ids.view(-1, token_type_ids.size(-1) |
self.wte(token_type_ids) |
zip(self.h, past) |
block(hidden_states, layer_past) |
presents.append(present) |
self.ln_f(hidden_states) |
hidden_states.size(-1) |
hidden_states.view(*output_shape) |
LinearReadoutHead(nn.Module) |
__init__(self, model_embeddings_weights, config) |
super() |
__init__() |
self.set_embeddings_weights(model_embeddings_weights) |
set_embeddings_weights(self, model_embeddings_weights) |
nn.Linear(embed_shape[1], embed_shape[0], bias=False) |
forward(self, hidden_state) |
logits (we remove the last token) |
contiguous() |
view(-1, self.n_embd) |
self.decoder(hidden_state) |
GPT2(nn.Module) |
__init__(self, config) |
super() |
__init__() |
Transformer(config) |
LinearReadoutHead(self.transformer.wte.weight, config) |
set_tied(self) |
self.readout_head.set_embeddings_weights(self.transformer.wte.weight) |
forward(self, input_ids, position_ids=None, token_type_ids=None, past=None) |
self.transformer(input_ids, position_ids, token_type_ids, past) |
Copyright (c) |
v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) |
Rupp (@caphrim007) |
Parameters(AnsibleF5Parameters) |
auto_check(self) |
api_params(self) |
getattr(self, self.api_map[api_attribute]) |
getattr(self, api_attribute) |
self._filter_params(result) |
ModuleManager(object) |
__init__(self, client) |
Parameters(self.client.module.params) |
Parameters() |
exec_module(self) |
dict() |
self.update() |
F5ModuleError(str(e) |
self.changes.to_return() |
result.update(**changes) |
result.update(dict(changed=changed) |
_update_changed_options(self) |
getattr(self.want, key) |
getattr(self.want, key) |
getattr(self.have, key) |
Parameters(changed) |
should_update(self) |
self._update_changed_options() |
update(self) |
self.read_current_from_device() |
self.should_update() |
self.update_on_device() |
update_on_device(self) |
self.want.api_params() |
self.client.api.tm.sys.software.update.load() |
result.modify(**params) |
read_current_from_device(self) |
self.client.api.tm.sys.software.update.load() |
Parameters(result) |
ArgumentSpec(object) |
__init__(self) |
main() |
F5ModuleError("The python f5-sdk module is required") |
ArgumentSpec() |
ModuleManager(client) |
mm.exec_module() |
client.module.exit_json(**results) |
main() |
if (len(sys.argv) |
int(sys.argv[2]) |
print ("Se requieren 2 argumentos: NOMBRE_IMAGENES NUMERO_IMAGENES") |
exit() |
x0419 (max: 0x3FFF) |
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