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Oceania2018Oceania2018
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add audio.decode_wav
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10 files changed

+104
-4
lines changed

10 files changed

+104
-4
lines changed

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

+3
Original file line numberDiff line numberDiff line change
@@ -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);
190190

191+
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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191194
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);
193196

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

+37
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,37 @@
1+
/*****************************************************************************
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Copyright 2021 Haiping Chen. All Rights Reserved.
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4+
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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8+
http://www.apache.org/licenses/LICENSE-2.0
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10+
Unless required by applicable law or agreed to in writing, software
11+
distributed under the License is distributed on an "AS IS" BASIS,
12+
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
14+
limitations under the License.
15+
******************************************************************************/
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using System.Collections.Generic;
18+
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

+1
Original file line numberDiff line numberDiff line change
@@ -22,6 +22,7 @@ public partial class tensorflow
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public class DataOps
2424
{
25+
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

+2
Original file line numberDiff line numberDiff line change
@@ -26,9 +26,11 @@ public partial class tensorflow
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public class IoApi
2727
{
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io_ops ops;
29+
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

+2-2
Original file line numberDiff line numberDiff line change
@@ -80,8 +80,8 @@ public Tensor string_length(Tensor input, string name = null, string unit = "BYT
8080
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);
8282

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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8686
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

+14
Original file line numberDiff line numberDiff line change
@@ -14,6 +14,7 @@ You may obtain a copy of the License at
1414
limitations under the License.
1515
******************************************************************************/
1616

17+
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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}
5266
}
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}

‎src/TensorFlowNET.Core/Operations/audio_ops.cs

+29
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,29 @@
1+
/*****************************************************************************
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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.
6+
You may obtain a copy of the License at
7+
8+
http://www.apache.org/licenses/LICENSE-2.0
9+
10+
Unless required by applicable law or agreed to in writing, software
11+
distributed under the License is distributed on an "AS IS" BASIS,
12+
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+
******************************************************************************/
16+
17+
using System.Collections.Generic;
18+
using Tensorflow.Contexts;
19+
using static Tensorflow.Binding;
20+
21+
namespace Tensorflow
22+
{
23+
public class audio_ops
24+
{
25+
public Tensors decode_wav(Tensor contents, int desired_channels = -1, int desired_samples = -1, string name = null)
26+
=> tf.Context.ExecuteOp("DecodeWav", name, new ExecuteOpArgs(contents)
27+
.SetAttributes(new { desired_channels, desired_samples }));
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}
29+
}

‎src/TensorFlowNET.Core/Operations/string_ops.cs

+9-1
Original file line numberDiff line numberDiff line change
@@ -73,11 +73,19 @@ public Tensor string_format(Tensor[] inputs, string template = "%s", string plac
7373
}
7474
}.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,
85+
maxsplit: maxsplit,
86+
name: name)[0];
87+
}
88+
8189
var result = tf.Context.ExecuteOp("StringSplitV2", name,
8290
new ExecuteOpArgs(input, sep)
8391
{

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

+1-1
Original file line numberDiff line numberDiff line change
@@ -134,7 +134,7 @@ Tensor[] nested_row_splits
134134
=> 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

+6
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@@ -92,6 +92,12 @@ public static implicit operator Tensor(Tensors tensors)
9292
public static implicit operator Tensor[](Tensors tensors)
9393
=> tensors.items.ToArray();
9494

95+
public void Deconstruct(out Tensor a, out Tensor b)
96+
{
97+
a = items[0];
98+
b = items[1];
99+
}
100+
95101
public override string ToString()
96102
=> items.Count() == 1
97103
? items.First().ToString()

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