&VfNFdZddlZddlmZddlmZddlmZ ddZ dS) aAudio summaries and TensorFlow operations to create them, V2 versions. An audio summary stores a rank-2 string tensor of shape `[k, 2]`, where `k` is the number of audio clips recorded in the summary. Each row of the tensor is a pair `[encoded_audio, label]`, where `encoded_audio` is a binary string whose encoding is specified in the summary metadata, and `label` is a UTF-8 encoded Markdown string describing the audio clip. N)tf2)metadata)lazy_tensor_creatorc$ ttdd ddlm |d}|dkrt d|zt jd|t jd}|g}ttj j d dptj j } | |d | 5\} } tj fd } tj | | || cdddS#1swxYwYdS)aWrite an audio summary. Arguments: name: A name for this summary. The summary tag used for TensorBoard will be this name prefixed by any active name scopes. data: A `Tensor` representing audio data with shape `[k, t, c]`, where `k` is the number of audio clips, `t` is the number of frames, and `c` is the number of channels. Elements should be floating-point values in `[-1.0, 1.0]`. Any of the dimensions may be statically unknown (i.e., `None`). sample_rate: An `int` or rank-0 `int32` `Tensor` that represents the sample rate, in Hz. Must be positive. step: Explicit `int64`-castable monotonic step value for this summary. If omitted, this defaults to `tf.summary.experimental.get_step()`, which must not be None. max_outputs: Optional `int` or rank-0 integer `Tensor`. At most this many audio clips will be emitted at each step. When more than `max_outputs` many clips are provided, the first `max_outputs` many clips will be used and the rest silently discarded. encoding: Optional constant `str` for the desired encoding. Only "wav" is currently supported, but this is not guaranteed to remain the default, so if you want "wav" in particular, set this explicitly. description: Optional long-form description for this summary, as a constant `str`. Markdown is supported. Defaults to empty. Returns: True on success, or false if no summary was emitted because no default summary writer was available. Raises: ValueError: if a default writer exists, but no step was provided and `tf.summary.experimental.get_step()` is None. audioNr) gen_audio_opswavzUnknown encoding: %rWAV) display_name descriptionencoding summary_scope audio_summary)valuesc4tjdtjd}t jj}tj||tjdtj tj ddkfddtj d gtj |dd }tj tj |g S) Nr) sample_rateencode_each_audio)dtypename)inputrcSN) encoded_audiosa/var/www/html/software/conda/lib/python3.11/site-packages/tensorboard/plugins/audio/summary_v2.pyz,audio..lazy_tensor..ss c@tjgtjSr)tfconstantstringrrrrz,audio..lazy_tensor..ts B 22r)a)r debugging assert_rankassert_non_negative functoolspartial encode_wavmap_fnr"condshapetile transposestack) limited_audio encode_fnlimited_labelsr audio_opsdata max_outputsrs @r lazy_tensorzaudio..lazy_tensorbs L $ $T1 - - - L , ,[ 9 9 9 +.M!)$+IIi( MG}---a014%%%%22M  WbT28-+H+H+H!+LMMN<"(M>+J"K"KLLL Lr)tagtensorstepr)getattrr tensorflow.python.opsr ValueErrorrcreate_summary_metadataEncodingValuesummary experimentalrrLazyTensorCreatorwrite)rr6rr;r7rr summary_metadatainputsrr9_r8r5s `` ` @rrr sTGT**IDDDDDD5/(:;;;7"((// Kd 3F  '$?? $ : # t_V < < < a  . M M M M M M M / . M0zKd=M   ;                  s8ADD  D )NrNN) __doc__r)tensorboard.compatrr tensorboard.plugins.audiortensorboard.utilrrrrrrMs((((((......000000  ] ] ] ] ] ] r