1VhdZddlZddlZddlmZddlmZddlmZejZejZ dZ dZ dZ d d Z d d Zy) zpMesh summaries and TensorFlow operations to create them. This file is deprecated. See `summary_v2.py` instead. N)metadata)plugin_data_pb2) summary_v2c dtj|}|jj}|D cgc]} | | nd }} t j |||||||} tj jjjt j|||| |} | Scc} w)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. )value json_config)summary_metadata collections) tfconvert_to_tensorshapeas_listrcreate_summary_metadatacompatv1summarytensor_summaryget_instance_name) name display_name descriptiontensor content_type componentsr r rdimtensor_metadatars P/home/dcms/DCMS/lib/python3.12/site-packages/tensorboard/plugins/mesh/summary.py_get_tensor_summaryr s> ! ! /F LL "E7< =COS + =E =66  OYY\\))88""46( 9N ! >s B-c||S|S)z0Returns display_name from display_name and name.)rrs r_get_display_namer#Ts c<d}|tj|d}|S)z6Parses and returns JSON string from python dictionary.z{}T) sort_keys)jsondumps) config_dictr s r_get_json_configr*[s#Kjj= r$c .t||}t|}g} tj|tj j tjtj|tj jtjtj|tj jtjg} | D cgc]} | j| } } tj| D cgc]} | jc} } | D]7} | j!t#|||| j| j| ||9tj$j&j(j+| ||} | Scc} wcc} w)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. )r r)r#r*r MeshTensorrMeshPluginDataVERTEXr float32FACEint32COLORuint8dataget_components_bitmaskrappendr rrrmerge)rverticesfacescolorsrrr r)r summariestensorsrr all_summariess ropr>csfB%T<8L";/K I o44;;RZZ   ?1166   O2288"((  G%,G&v{{/FvGGG00+23  3J    ##    IILL((..{/M /H 4sF &F ?Fc  t||}t|}g}tj|tj j tjtj|tj jtjtj|tj jtjg} | D cgc]} | j| } } tj| D cgc]} | jc} } | D]} | jj } | D cgc]} | | nd } } tj"j$j'| j| j(}tj*||| j| | ||}tj,|| j}|j/|||ftj"j$j1}|D]e\}}}tj"j$j2j5|j7}|j8j;|||g|Scc} wcc} wcc} w)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. r)dtyper )tagrr)r#r*rr,rr-r.r r/r0r1r2r3r4r5rrrrmake_tensor_proto data_typerrr6SummarySummaryMetadata FromStringSerializeToStringradd)rr8r9r:rrr)r r;r<rrrr tensor_protor rArtf_summary_metadatas rpbrKs4<%T<8L";/KI o44;;RZZ   ?1166   O2288"((  G%,G&v{{/FvGGG00+23  3J@ !!;@ACR/AAyy||55 KKv//6 $;;        # ((v/B/BC#/>?!@$iill""$G/8 + | iill::EE  . . 0   1,    N=H3BsI6&I6?I;8 J)NNNNNN)NNNNN)__doc__r' tensorflowr tensorboard.plugins.meshrrrmeshmesh_pbr r#r*r>rKr"r$rrQss  -4/   1h  J`  Kr$