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add audio.decode_wav · MSavameri/TensorFlow.NET@899d15e · GitHub

  1. MSavameri
  2. TensorFlow.NET

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Commit 899d15e

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Oceania2018
committed
add audio.decode_wav
1 parent 773a3ba commit 899d15e

10 files changed

Lines changed: 104 additions & 4 deletions

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‎src/TensorFlowNET.Core/APIs/tf.array.cs‎

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@@ -188,6 +188,9 @@ public Tensor rank(Tensor input, string name = null)
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public Tensor slice<Tb, Ts>(Tensor input, Tb[] begin, Ts[] size, string name = null)
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=> array_ops.slice(input, begin, size, name: name);
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public Tensor squeeze(Tensor input, int axis, string name = null, int squeeze_dims = -1)
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=> array_ops.squeeze(input, new[] { axis }, name);
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public Tensor squeeze(Tensor input, int[] axis = null, string name = null, int squeeze_dims = -1)
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=> array_ops.squeeze(input, axis, name);
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‎src/TensorFlowNET.Core/APIs/tf.audio.cs‎

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@@ -0,0 +1,37 @@
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/*****************************************************************************
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Copyright 2021 Haiping Chen. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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******************************************************************************/
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using System.Collections.Generic;
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using Tensorflow.IO;
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namespace Tensorflow
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{
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public partial class tensorflow
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{
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public AudioAPI audio { get; } = new AudioAPI();
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public class AudioAPI
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{
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audio_ops audio_ops = new audio_ops();
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public Tensors decode_wav(Tensor contents, int desired_channels = -1, int desired_samples = -1, string name = null)
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=> audio_ops.decode_wav(contents,
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desired_channels: desired_channels,
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desired_samples: desired_samples,
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name: name);
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}
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}
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}

‎src/TensorFlowNET.Core/APIs/tf.data.cs‎

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@@ -22,6 +22,7 @@ public partial class tensorflow
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public class DataOps
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{
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public int AUTOTUNE = -1;
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public DatasetManager Dataset { get; } = new DatasetManager();
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}
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}

‎src/TensorFlowNET.Core/APIs/tf.io.cs‎

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@@ -26,9 +26,11 @@ public partial class tensorflow
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public class IoApi
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{
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io_ops ops;
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public GFile gfile;
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public IoApi()
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{
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ops = new io_ops();
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gfile = new GFile();
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}
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public Tensor read_file(string filename, string name = null)

‎src/TensorFlowNET.Core/APIs/tf.strings.cs‎

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Original file line numberDiff line numberDiff line change
@@ -80,8 +80,8 @@ public Tensor string_length(Tensor input, string name = null, string unit = "BYT
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public Tensor format(string template, Tensor[] inputs, string placeholder = "{}", int summarize = 3, string name = null)
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=> ops.string_format(inputs, template: template, placeholder: placeholder, summarize: summarize, name: name);
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83-
public RaggedTensor split(Tensor input, string sep = "", int maxsplit = -1, string name = null)
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=> ops.string_split_v2(input, sep: sep, maxsplit : maxsplit, name : name);
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public RaggedTensor split(Tensor input, char sep = ' ', int maxsplit = -1, string name = null)
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=> ops.string_split_v2(input, sep: sep.ToString(), maxsplit : maxsplit, name : name);
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public (RaggedTensor, RaggedTensor) unicode_decode_with_offsets(Tensor input, string input_encoding,
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string errors = "replace", int replacement_char = 0xFFFD,

‎src/TensorFlowNET.Core/IO/gfile.cs‎

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@@ -14,6 +14,7 @@ You may obtain a copy of the License at
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limitations under the License.
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******************************************************************************/
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Linq;
@@ -49,5 +50,18 @@ public class GFile
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foreach (var f in walk_v2(dir, topdown))
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yield return f;
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}
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public string[] listdir(string data_dir)
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=> Directory.GetDirectories(data_dir)
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.Select(x => x.Split(Path.DirectorySeparatorChar).Last())
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.ToArray();
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public string[] glob(string data_dir)
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{
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var dirs = new List<string>();
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foreach(var dir in Directory.GetDirectories(data_dir))
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dirs.AddRange(Directory.GetFiles(dir));
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return dirs.ToArray();
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}
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}
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}

‎src/TensorFlowNET.Core/Operations/audio_ops.cs‎

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@@ -0,0 +1,29 @@
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/*****************************************************************************
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Copyright 2018 The TensorFlow.NET Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
11+
distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13+
See the License for the specific language governing permissions and
14+
limitations under the License.
15+
******************************************************************************/
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using System.Collections.Generic;
18+
using Tensorflow.Contexts;
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using static Tensorflow.Binding;
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namespace Tensorflow
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{
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public class audio_ops
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{
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public Tensors decode_wav(Tensor contents, int desired_channels = -1, int desired_samples = -1, string name = null)
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=> tf.Context.ExecuteOp("DecodeWav", name, new ExecuteOpArgs(contents)
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.SetAttributes(new { desired_channels, desired_samples }));
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}
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}

‎src/TensorFlowNET.Core/Operations/string_ops.cs‎

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@@ -73,11 +73,19 @@ public Tensor string_format(Tensor[] inputs, string template = "%s", string plac
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}
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}.SetAttributes(new { template, placeholder, summarize }));
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76-
public RaggedTensor string_split_v2(Tensor input, string sep = "", int maxsplit = -1, string name = null)
76+
public RaggedTensor string_split_v2(Tensor input, string sep = " ", int maxsplit = -1, string name = null)
7777
{
7878
return tf_with(ops.name_scope(name, "StringSplit"), scope =>
7979
{
8080
var sep_tensor = ops.convert_to_tensor(sep, dtype: TF_DataType.TF_STRING);
81+
if(input.rank == 0)
82+
{
83+
return string_split_v2(array_ops.stack(new[] { input }),
84+
sep: sep,
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maxsplit: maxsplit,
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name: name)[0];
87+
}
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8189
var result = tf.Context.ExecuteOp("StringSplitV2", name,
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new ExecuteOpArgs(input, sep)
8391
{

‎src/TensorFlowNET.Core/Tensors/Ragged/RaggedTensor.cs‎

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@@ -134,7 +134,7 @@ Tensor[] nested_row_splits
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=> new[] { _row_splits };
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136136
public override string ToString()
137-
=> $"tf.RaggedTensor: shape={shape} [{string.Join(", ", _values.StringData().Take(10))}]";
137+
=> $"tf.RaggedTensor: shape={_values.TensorShape} [{string.Join(", ", _values.StringData().Take(10))}]";
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139139
public static implicit operator Tensor(RaggedTensor indexedSlices)
140140
=> indexedSlices._to_variant();

‎src/TensorFlowNET.Core/Tensors/Tensors.cs‎

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@@ -92,6 +92,12 @@ public static implicit operator Tensor(Tensors tensors)
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public static implicit operator Tensor[](Tensors tensors)
9393
=> tensors.items.ToArray();
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95+
public void Deconstruct(out Tensor a, out Tensor b)
96+
{
97+
a = items[0];
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b = items[1];
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}
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public override string ToString()
96102
=> items.Count() == 1
97103
? items.First().ToString()

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