1 op { 2 graph_op_name: "AudioSummaryV2" 3 endpoint { 4 name: "AudioSummary" 5 } 6 in_arg { 7 name: "tag" 8 description: <<END 9 Scalar. Used to build the `tag` attribute of the summary values. 10 END 11 } 12 in_arg { 13 name: "tensor" 14 description: <<END 15 2-D of shape `[batch_size, frames]`. 16 END 17 } 18 in_arg { 19 name: "sample_rate" 20 description: <<END 21 The sample rate of the signal in hertz. 22 END 23 } 24 out_arg { 25 name: "summary" 26 description: <<END 27 Scalar. Serialized `Summary` protocol buffer. 28 END 29 } 30 attr { 31 name: "max_outputs" 32 description: <<END 33 Max number of batch elements to generate audio for. 34 END 35 } 36 summary: "Outputs a `Summary` protocol buffer with audio." 37 description: <<END 38 The summary has up to `max_outputs` summary values containing audio. The 39 audio is built from `tensor` which must be 3-D with shape `[batch_size, 40 frames, channels]` or 2-D with shape `[batch_size, frames]`. The values are 41 assumed to be in the range of `[-1.0, 1.0]` with a sample rate of `sample_rate`. 42 43 The `tag` argument is a scalar `Tensor` of type `string`. It is used to 44 build the `tag` of the summary values: 45 46 * If `max_outputs` is 1, the summary value tag is '*tag*/audio'. 47 * If `max_outputs` is greater than 1, the summary value tags are 48 generated sequentially as '*tag*/audio/0', '*tag*/audio/1', etc. 49 END 50 } 51
