Destroys the recorder object. */

机械臂使能回调函数 Args: enable_flag ():

Fills up an array of @ref DeviceInfo objects with devices that are available. @param [in,out] deviceInfoList An array to be filled with devices. */

! @param[in] format the current format @param[in] detail a detailed error message @param[in] context further context information

UTF-32

UTF-16

1) Encode multimodal inputs. 2) Diffusion-style noisy mixture of actions: x_t = t*noise + (1-t)*gt. 3) Space-specific preproc

pixel_values: (batch_size, height, width, num_channels) returns: (batch_size, height, width, embedding_dim * 2)

Args: seq_embeds: The sequence embeddings in order. Allowed size: 1. [T, D], where T is the length of the sequenc

Args: seq_embeds: The sequence embeddings in order. Allowed size: 1. [T, D], where T is the length of the sequenc

`input_ids' shape is expected to be [bsz x seqlen].

Input shape: Batch x Time x Channel

Input shape: Batch x Time x Channel

Args: hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` attention_mask (

Args: hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` attention_mask (

r""" Args: input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): Indices of input sequence toke

r""" Args: input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): Indices of input sequence toke

r""" labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): Labels for computing the masked language mo

r""" Args: labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): Labels for computing

Parameters ---------- x : Tensor, shape [B, T, C] Input sequence. Returns ------- Tensor

Parameters ---------- x : Tensor [B, I] or [B, T, I] domain_id : LongTensor [B], domain indic

Parameters ---------- x : Tensor, [B, T, H] Returns ------- Tensor, [B, T, H]

Forward pass. Inputs ------ domain_id : [B] vlm_features : [B, T_vlm, D] aux_visual_inputs : [B, T_a

Alias for compute_loss.

originally mm

@brief access the first element @sa https://json.nlohmann.me/api/basic_json/front/

Indicates the X coordinate of the upper left corner of the crop window. @return Distance of crop origin from left side of image, in pixels. */

Indicates the Y coordinate of the upper left corner of the crop window. @return Distance of crop origin from top of image, in pixels. */