a Sic@sHdZddlZddlmZddlmZejZejZd ddZd ddZ dS) zScalar summaries and TensorFlow operations to create them. A scalar summary stores a single floating-point value, as a rank-0 tensor. N)metadata) summary_v2c Csddlmm}|dur|}tj||d}||n|||g<|jj d| ||j ||dWdWdS1s0YWdn1s0YdS)aCreate a legacy scalar summary op. Arguments: name: A unique name for the generated summary node. data: A real numeric rank-0 `Tensor`. Must have `dtype` castable to `float32`. 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 graph collections keys. The new summary op is added to these collections. Defaults to `[Graph Keys.SUMMARIES]`. Returns: A TensorFlow summary op. rN display_name descriptionscalar_summary)nametensor collectionssummary_metadata) tensorflow.compat.v1compatv1rcreate_summary_metadata name_scopecontrol_dependencies assert_scalarsummarytensor_summarycastfloat32)rdatarrr tfr r^/var/www/html/django/DPS/env/lib/python3.9/site-packages/tensorboard/plugins/scalar/summary.pyop!s  rc Csddlmm}t|}|jdkr4td|j|jjdvrPtd|jj | | tj }|durn|}t j||d}|j|}|}|jjd|||d |S) a%Create a legacy scalar summary protobuf. Arguments: name: A unique name for the generated summary, including any desired name scopes. data: A rank-0 `np.array` or array-like form (so raw `int`s and `float`s are fine, too). 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. Returns: A `tf.Summary` protobuf object. rNrz.Expected scalar shape for data, saw shape: %s.)biufz!Cast %s to float is not supportedrz%s/scalar_summary)tagrr )r r rnparrayshape ValueErrordtypekindrmake_tensor_protoastyperrrSummaryMetadata FromStringSerializeToStringSummaryvalueadd) rrrrrr r tf_summary_metadatarrrrpbEs0   r0)NNN)NN) __doc__numpyr!tensorboard.plugins.scalarrrscalar scalar_pbrr0rrrrs   $