&VfdZddlZddlZddlmZddlmZddlmZejZej Z dZ dZ dZ d d Z d d ZdS) zpMesh summaries and TensorFlow operations to create them. This file is deprecated. See `summary_v2.py` instead. N)metadata)plugin_data_pb2) summary_v2c 0tj|}|j}d|D}t j|||||||} tjjj t j |||| |} | S)aZCreates a tensor summary with summary metadata. Args: name: Uniquely identifiable name of the summary op. Could be replaced by combination of name and type to make it unique even outside of this summary. display_name: Will be used as the display name in TensorBoard. Defaults to `tag`. description: A longform readable description of the summary data. Markdown is supported. tensor: Tensor to display in summary. content_type: Type of content inside the Tensor. components: Bitmask representing present parts (vertices, colors, etc.) that belong to the summary. json_config: A string, JSON-serialized dictionary of ThreeJS classes configuration. collections: List of collections to add this summary to. Returns: Tensor summary with metadata. )valuecg|]}||nd SN.0dims ]/var/www/html/software/conda/lib/python3.11/site-packages/tensorboard/plugins/mesh/summary.py z'_get_tensor_summary..As = = =COSS = = = json_config)summary_metadata collections) tfconvert_to_tensorshapeas_listrcreate_summary_metadatacompatv1summarytensor_summaryget_instance_name) name display_name descriptiontensor content_type componentsrrrtensor_metadatars r_get_tensor_summaryr' s> ! / / /F L " "E = =u = = =E6  OY\)88"466( 9N rc||S|S)z0Returns display_name from display_name and name.r )r r!s r_get_display_namer)Ts rc:d}|tj|d}|S)z6Parses and returns JSON string from python dictionary.z{}NT) sort_keys)jsondumps) config_dictrs r_get_json_configr/[s'Kj=== rc |t||}t|}g} tj|tjjtjtj|tjj tj tj|tjj tj g} d| D} tj d| D} | D]5} | t|||| j| j| ||6tjjj| ||} | S)aCreates a TensorFlow summary op for mesh rendering. DEPRECATED: see `summary_v2.py` instead. Args: name: A name for this summary operation. vertices: Tensor of shape `[dim_1, ..., dim_n, 3]` representing the 3D coordinates of vertices. faces: Tensor of shape `[dim_1, ..., dim_n, 3]` containing indices of vertices within each triangle. colors: Tensor of shape `[dim_1, ..., dim_n, 3]` containing colors for each vertex. display_name: If set, will be used as the display name in TensorBoard. Defaults to `name`. description: A longform readable description of the summary data. Markdown is supported. collections: Which TensorFlow graph collections to add the summary op to. Defaults to `['summaries']`. Can usually be ignored. config_dict: Dictionary with ThreeJS classes names and configuration. Returns: Merged summary for mesh/point cloud representation. c g|] }|j | SNdatar r#s rrzop..GGG&v{/Fv/F/F/Frcg|] }|j Sr r$r5s rrzop..333 333r)rr )r)r/r MeshTensorrMeshPluginDataVERTEXrfloat32FACEint32COLORuint8get_components_bitmaskappendr'r4r$rrrmerge)r verticesfacescolorsr!r"rr.r summariestensorsr%r# all_summariess roprKcsSB%T<88L";//K I o4;RZ    ?16    O28"(   GHGGGGGG0337333J     #   IL(..{/M rc t||}t|}g}tj|tjjtjtj|tjj tj tj|tjj tj g} d| D} tj d| D} | D]} | jj} d| D} tjj| j| j} tj||| j| | ||}tj|| j}|||| ftjj}|D]^\}}} tjjj|}|j||| _|S)a8Create a mesh summary to save in pb format. DEPRECATED: see `summary_v2.py` instead. Args: name: A name for this summary operation. vertices: numpy array of shape `[dim_1, ..., dim_n, 3]` representing the 3D coordinates of vertices. faces: numpy array of shape `[dim_1, ..., dim_n, 3]` containing indices of vertices within each triangle. colors: numpy array of shape `[dim_1, ..., dim_n, 3]` containing colors for each vertex. display_name: If set, will be used as the display name in TensorBoard. Defaults to `name`. description: A longform readable description of the summary data. Markdown is supported. config_dict: Dictionary with ThreeJS classes names and configuration. Returns: Instance of tf.Summary class. c g|] }|j | Sr2r3r5s rrzpb..r6rcg|] }|j Sr r8r5s rrzpb..r9rcg|]}||nd Sr r r s rrzpb..s AAACRAAAr)dtyper)tagrr#)r)r/rr:rr;r<rr=r>r?r@rArBr4rrrmake_tensor_proto data_typerr$rrCSummarySummaryMetadata FromStringSerializeToStringradd)r rErFrGr!r"r.rrHrIr%r#r tensor_protorrQrtf_summary_metadatas rpbr[s<%T<88L";//KI o4;RZ    ?16    O28"(   GHGGGGGG0337333J@@ !AA5AAAy|55 Kv/6  $;       #   (v/BCC#/>????il""$$G/8  + | il:EE  . . 0 0    1,      Nr)NNNNNN)NNNNN)__doc__r, tensorflowrtensorboard.plugins.meshrrrmeshmesh_pbr'r)r/rKr[r rrras  ------444444//////  111h  JJJJ`  KKKKKKr