a SicX@s@dZddlmZddlmZejZejZd ddZd ddZdS) z8Text summaries and TensorFlow operations to create them.)metadata) summary_v2Nc Csddlmm}|dur|}tj||d}||h||||jg2|j j d|||dWdWdS1s0YWdn1s0YdS)aCreate a legacy text summary op. Text data summarized via this plugin will be visible in the Text Dashboard in TensorBoard. The standard TensorBoard Text Dashboard will render markdown in the strings, and will automatically organize 1D and 2D tensors into tables. If a tensor with more than 2 dimensions is provided, a 2D subarray will be displayed along with a warning message. (Note that this behavior is not intrinsic to the text summary API, but rather to the default TensorBoard text plugin.) Args: name: A name for the generated node. Will also serve as a series name in TensorBoard. data: A string-type Tensor to summarize. The text must be encoded in UTF-8. display_name: Optional name for this summary in TensorBoard, as a constant `str`. Defaults to `name`. description: Optional long-form description for this summary, as a constant `str`. Markdown is supported. Defaults to empty. collections: Optional list of ops.GraphKeys. The collections to which to add the summary. Defaults to [Graph Keys.SUMMARIES]. Returns: A TensorSummary op that is configured so that TensorBoard will recognize that it contains textual data. The TensorSummary is a scalar `Tensor` of type `string` which contains `Summary` protobufs. Raises: ValueError: If tensor has the wrong type. rN display_name descriptionZ text_summary)nametensor collectionssummary_metadata) tensorflow.compat.v1compatv1rcreate_summary_metadata name_scopecontrol_dependencies assert_typestringsummarytensor_summary)rdatarrr tfr r\/var/www/html/django/DPS/env/lib/python3.9/site-packages/tensorboard/plugins/text/summary.pyops rc Csddlmm}z|j||jd}Wn,tyR}zt|WYd}~n d}~00|dur`|}tj||d}|j | }| } | j jd|||d| S)ayCreate a legacy text summary protobuf. Arguments: name: A name for the generated node. Will also serve as a series name in TensorBoard. data: A Python bytestring (of type bytes), or Unicode string. Or a numpy data array of those types. display_name: Optional name for this summary in TensorBoard, as a `str`. Defaults to `name`. description: Optional long-form description for this summary, as a `str`. Markdown is supported. Defaults to empty. Raises: ValueError: If the type of the data is unsupported. Returns: A `tf.Summary` protobuf object. rN)dtyperz%s/text_summary)tagrr)r r r make_tensor_protor TypeError ValueErrorrrSummaryMetadata FromStringSerializeToStringSummaryvalueadd) rrrrrrer tf_summary_metadatarrrrpbKs(r')NNN)NN)__doc__tensorboard.plugins.textrrtexttext_pbrr'rrrrs    0