code stringlengths 3 6.57k |
|---|
render(self, mode='human', close=False, view='agent') |
self.window.close() |
self.render_obs(self.vis_fb) |
self.render_top_view(self.vis_fb) |
self.render_obs() |
pyglet.gl.Config(double_buffer=True) |
self.window.clear() |
self.window.switch_to() |
glBindFramebuffer(GL_FRAMEBUFFER, 0) |
glClearColor(0, 0, 0, 1.0) |
glClearDepth(1.0) |
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT) |
glMatrixMode(GL_PROJECTION) |
glLoadIdentity() |
glMatrixMode(GL_MODELVIEW) |
glLoadIdentity() |
glOrtho(0, window_width, 0, window_height, 0, 10) |
np.ascontiguousarray(np.flip(img, axis=0) |
img_flip.ctypes.data_as(POINTER(GLubyte) |
np.ascontiguousarray(np.flip(obs, axis=0) |
obs.ctypes.data_as(POINTER(GLubyte) |
int(self.agent.dir * 180 / math.pi) |
self.text_label.draw() |
glFlush() |
self.window.flip() |
self.window.dispatch_events() |
admin.site.register(Question) |
admin.site.register(Choice) |
Copyright (c) |
logging.get_logger(__name__) |
PretrainedConfig(PushToHubMixin) |
attributes (overridden by derived classes) |
attributes (present in all subclasses) |
matrix (this attribute may be missing for models that don't have a text modality like ViT) |
name_or_path (:obj:`str`, `optional`, defaults to :obj:`""`) |
output_hidden_states (:obj:`bool`, `optional`, defaults to :obj:`False`) |
output_attentions (:obj:`bool`, `optional`, defaults to :obj:`False`) |
return_dict (:obj:`bool`, `optional`, defaults to :obj:`True`) |
is_encoder_decoder (:obj:`bool`, `optional`, defaults to :obj:`False`) |
is_decoder (:obj:`bool`, `optional`, defaults to :obj:`False`) |
not (in which case it's used as an encoder) |
add_cross_attention (:obj:`bool`, `optional`, defaults to :obj:`False`) |
tie_encoder_decoder (:obj:`bool`, `optional`, defaults to :obj:`False`) |
prune_heads (:obj:`Dict[int, List[int]]`, `optional`, defaults to :obj:`{}`) |
chunk_size_feed_forward (:obj:`int`, `optional`, defaults to :obj:`0`) |
original (TensorFlow or PyTorch) |
of (:obj:`"regression"`, :obj:`"single_label_classification"`, :obj:`"multi_label_classification"`) |
scalars (only used by some TensorFlow models) |
__setattr__(self, key, value) |
super() |
__getattribute__("attribute_map") |
super() |
__getattribute__("attribute_map") |
super() |
__setattr__(key, value) |
__getattribute__(self, key) |
super() |
__getattribute__("attribute_map") |
super() |
__getattribute__("attribute_map") |
super() |
__getattribute__(key) |
__init__(self, **kwargs) |
kwargs.pop("return_dict", True) |
kwargs.pop("output_hidden_states", False) |
kwargs.pop("output_attentions", False) |
kwargs.pop("torchscript", False) |
kwargs.pop("torch_dtype", None) |
kwargs.pop("use_bfloat16", False) |
kwargs.pop("pruned_heads", {}) |
kwargs.pop("is_encoder_decoder", False) |
kwargs.pop("is_decoder", False) |
kwargs.pop("add_cross_attention", False) |
kwargs.pop("tie_encoder_decoder", False) |
kwargs.pop("max_length", 20) |
kwargs.pop("min_length", 0) |
kwargs.pop("do_sample", False) |
kwargs.pop("early_stopping", False) |
kwargs.pop("num_beams", 1) |
kwargs.pop("num_beam_groups", 1) |
kwargs.pop("diversity_penalty", 0.0) |
kwargs.pop("temperature", 1.0) |
kwargs.pop("top_k", 50) |
kwargs.pop("top_p", 1.0) |
kwargs.pop("repetition_penalty", 1.0) |
kwargs.pop("length_penalty", 1.0) |
kwargs.pop("no_repeat_ngram_size", 0) |
kwargs.pop("encoder_no_repeat_ngram_size", 0) |
kwargs.pop("bad_words_ids", None) |
kwargs.pop("num_return_sequences", 1) |
kwargs.pop("chunk_size_feed_forward", 0) |
kwargs.pop("output_scores", False) |
kwargs.pop("return_dict_in_generate", False) |
kwargs.pop("forced_bos_token_id", None) |
kwargs.pop("forced_eos_token_id", None) |
kwargs.pop("remove_invalid_values", False) |
kwargs.pop("architectures", None) |
kwargs.pop("finetuning_task", None) |
kwargs.pop("id2label", None) |
kwargs.pop("label2id", None) |
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