Tensorboard Issue #932

THIRD-PARTY-NOTICES.TXT

@@ -23,9 +23,9 @@ SOFTWARE.
 This software incorporates material from third parties listed below:
 
 ==================
- 
+
 From PyTorch
- 
+
 Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
 Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
 Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
@@ -35,54 +35,54 @@ Copyright (c) 2011-2013 NYU                      (Clement Farabet)
 Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
 Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
 Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
- 
+
 From Caffe2:
- 
+
 Copyright (c) 2016-present, Facebook Inc. All rights reserved.
- 
+
 All contributions by Facebook:
 Copyright (c) 2016 Facebook Inc.
- 
+
 All contributions by Google:
 Copyright (c) 2015 Google Inc.
 All rights reserved.
- 
+
 All contributions by Yangqing Jia:
 Copyright (c) 2015 Yangqing Jia
 All rights reserved.
- 
+
 All contributions from Caffe:
 Copyright(c) 2013, 2014, 2015, the respective contributors
 All rights reserved.
- 
+
 All other contributions:
 Copyright(c) 2015, 2016 the respective contributors
 All rights reserved.
- 
+
 Caffe2 uses a copyright model similar to Caffe: each contributor holds
 copyright over their contributions to Caffe2. The project versioning records
 all such contribution and copyright details. If a contributor wants to further
 mark their specific copyright on a particular contribution, they should
 indicate their copyright solely in the commit message of the change when it is
 committed.
- 
+
 All rights reserved.
- 
+
 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:
- 
+
 1. Redistributions of source code must retain the above copyright
    notice, this list of conditions and the following disclaimer.
- 
+
 2. Redistributions in binary form must reproduce the above copyright
    notice, this list of conditions and the following disclaimer in the
    documentation and/or other materials provided with the distribution.
- 
+
 3. Neither the names of Facebook, Deepmind Technologies, NYU, NEC Laboratories America
    and IDIAP Research Institute nor the names of its contributors may be
    used to endorse or promote products derived from this software without
    specific prior written permission.
- 
+
 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
@@ -591,4 +591,62 @@ Apache License
    DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
    THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
    (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-   OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+   OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+	==================
+	Android Code(gif_encoder)
+	https://cs.android.com/android/platform/superproject/+/master:external/glide/LICENSE
+	https://cs.android.com/android/platform/superproject/+/master:external/glide/third_party/gif_encoder/LICENSE
+
+	Copyright 2014 Google, Inc. All rights reserved.
+
+	Redistribution and use in source and binary forms, with or without modification, are
+	permitted provided that the following conditions are met:
+
+		1. Redistributions of source code must retain the above copyright notice, this list of
+				conditions and the following disclaimer.
+
+		2. Redistributions in binary form must reproduce the above copyright notice, this list
+				of conditions and the following disclaimer in the documentation and/or other materials
+				provided with the distribution.
+
+	THIS SOFTWARE IS PROVIDED BY GOOGLE, INC. ``AS IS'' AND ANY EXPRESS OR IMPLIED
+	WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
+	FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL GOOGLE, INC. OR
+	CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+	CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+	SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+	ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+	NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
+	ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+	The views and conclusions contained in the software and documentation are those of the
+	authors and should not be interpreted as representing official policies, either expressed
+	or implied, of Google, Inc.
+	---------------------------------------------------------------------------------------------
+
+	License for Encoder.cs and LZWEncoder.cs
+
+	No copyright asserted on the source code of this class. May be used for any
+	purpose, however, refer to the Unisys LZW patent for restrictions on use of
+	the associated LZWEncoder class. Please forward any corrections to
+	[email protected].
+
+	-----------------------------------------------------------------------------
+	License for NeuQuant.cs
+
+	Copyright (c) 1994 Anthony Dekker
+
+	NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994. See
+	"Kohonen neural networks for optimal colour quantization" in "Network:
+	Computation in Neural Systems" Vol. 5 (1994) pp 351-367. for a discussion of
+	the algorithm.
+
+	Any party obtaining a copy of these files from the author, directly or
+	indirectly, is granted, free of charge, a full and unrestricted irrevocable,
+	world-wide, paid up, royalty-free, nonexclusive right and license to deal in
+	this software and documentation files (the "Software"), including without
+	limitation the rights to use, copy, modify, merge, publish, distribute,
+	sublicense, and/or sell copies of the Software, and to permit persons who
+	receive copies from any such party to do so, with the only requirement being
+	that this copyright notice remain intact.

src/Examples/Examples.csproj

@@ -24,6 +24,7 @@
   </ItemGroup>
 
   <ItemGroup>
+    <PackageReference Include="Microsoft.Net.Http" Version="2.2.29" Condition="'$(TargetFramework)' == 'net472'" />
     <PackageReference Include="SharpZipLib" Version="1.4.0" />
     <PackageReference Include="SkiaSharp" Version="2.88.3" />
     <PackageReference Include="System.Memory" Version="4.5.5" />

src/Examples/Program.cs

@@ -14,6 +14,7 @@ public static void Main(string[] args)
             //ImageTransforms.Main(args);
             //SpeechCommands.Main(args);
             IOReadWrite.Main(args);
+            Tensorboard.Main(args).Wait();
         }
     }
 }

src/Examples/Tensorboard.cs

@@ -0,0 +1,114 @@
+// Copyright (c) .NET Foundation and Contributors.  All Rights Reserved.  See LICENSE in the project root for license information.
+using System;
+using System.IO;
+using System.Linq;
+using System.Net.Http;
+using System.Threading.Tasks;
+using SixLabors.ImageSharp;
+using SixLabors.ImageSharp.PixelFormats;
+using SkiaSharp;
+using static TorchSharp.torch;
+
+namespace TorchSharp.Examples
+{
+    public static class Tensorboard
+    {
+        private static string imagePath = "TensorboardExample/Images";
+        internal static async Task Main(string[] args)
+        {
+            await DownloadExampleData("https://agirls.aottercdn.com/media/0d532b3f-0196-466a-96e1-7c6db56d0142.gif");
+            var device = cuda.is_available() ? CUDA : CPU;
+            var writer = utils.tensorboard.SummaryWriter("tensorboard");
+            Console.WriteLine($"Running Tensorboard on {device.type}");
+            AddText(writer);
+            AddImageUsePath(writer);
+            AddImageUseTensor(writer, device);
+            AddVideo(writer, device);
+            AddHistogram(writer, device);
+        }
+
+        private static void AddHistogram(Modules.SummaryWriter writer, Device device)
+        {
+            for (int i = 0; i < 10; i++) {
+                Tensor x = randn(1000, device: device);
+                writer.add_histogram("AddHistogram", x + i, i);
+            }
+        }
+
+        private static void AddText(Modules.SummaryWriter writer)
+        {
+            writer.add_text("AddText", "step_1", 1);
+            writer.add_text("AddText", "step_2", 2);
+            writer.add_text("AddText", "step_3", 3);
+            writer.add_text("AddText", "step_4", 4);
+            writer.add_text("AddText", "step_5", 5);
+        }
+
+        private static void AddImageUsePath(Modules.SummaryWriter writer)
+        {
+            var imagesPath = Directory.GetFiles(imagePath);
+            for (var i = 0; i < imagesPath.Length; i++) {
+                writer.add_img("AddImageUsePath", imagesPath[i], i);
+            }
+        }
+
+        private static void AddImageUseTensor(Modules.SummaryWriter writer, Device device)
+        {
+            var images = Directory.GetFiles(imagePath).Select(item => SKBitmap.Decode(item)).ToArray();
+            using var d = NewDisposeScope();
+            for (var i = 0; i < images.Length; i++) {
+                var tensor = SKBitmapToTensor(images[i], device);
+                writer.add_img("AddImageUseTensor", tensor, i, dataformats: "CHW");
+                images[i].Dispose();
+            }
+        }
+
+        private static void AddVideo(Modules.SummaryWriter writer, Device device)
+        {
+            var images = Directory.GetFiles(imagePath).Select(item => SKBitmap.Decode(item)).ToArray();
+            using var d = NewDisposeScope();
+            var tensor = stack(images.Select(item => SKBitmapToTensor(item, device)).ToArray());
+            tensor = stack(new Tensor[] { tensor, tensor, tensor, tensor, tensor, tensor, tensor, tensor, tensor, tensor });
+            foreach (var image in images)
+                image.Dispose();
+            writer.add_video("AddVideo", tensor, 1, 10);
+            writer.add_video("AddVideo", tensor, 2, 10);
+            writer.add_video("AddVideo", tensor, 3, 10);
+        }
+
+        private static Tensor SKBitmapToTensor(SKBitmap skBitmap, Device device)
+        {
+            var width = skBitmap.Width;
+            var height = skBitmap.Height;
+            var hwcData = new byte[4, height, width];
+            for (var y = 0; y < height; y++) {
+                for (var x = 0; x < width; x++) {
+                    var color = skBitmap.GetPixel(x, y);
+                    hwcData[0, y, x] = color.Red;
+                    hwcData[1, y, x] = color.Green;
+                    hwcData[2, y, x] = color.Blue;
+                    hwcData[3, y, x] = color.Alpha;
+                }
+            }
+
+            return tensor(hwcData, ScalarType.Byte, device);
+        }
+
+        private static async Task DownloadExampleData(string url)
+        {
+            if (Directory.Exists(imagePath))
+                Directory.Delete(imagePath, true);
+            Directory.CreateDirectory(imagePath);
+            using var client = new HttpClient();
+
+            using var message = await client.GetAsync(url);
+            using var stream = await message.Content.ReadAsStreamAsync();
+            using var animatedImage = Image.Load<Rgba32>(stream);
+            for (var i = 0; i < animatedImage.Frames.Count; i++) {
+                var pngFilename = Path.Combine(imagePath, $"frame_{i}.png");
+                using var pngImage = animatedImage.Frames.CloneFrame(i);
+                pngImage.SaveAsPng(pngFilename);
+            }
+        }
+    }
+}

src/TorchSharp/Tensor/Enums/HistogramBinSelector.cs

@@ -2,9 +2,9 @@
 
 namespace TorchSharp
 {
-    public enum HistogramBinSelector
+    public enum HistogramBinSelector : byte
     {
-        Doane,
+        Doane = 0,
         Rice,
         Scott,
         Sqrt,

src/TorchSharp/Tensor/torch.OtherOperations.cs

@@ -628,17 +628,6 @@ public static Tensor[] meshgrid(IEnumerable<Tensor> tensors, string indexing = "
         /// </summary>
         public static Tensor roll(Tensor input, ReadOnlySpan<long> shifts, ReadOnlySpan<long> dims = default) => input.roll(shifts, dims);
 
-        // https://pytorch.org/docs/stable/generated/torch.searchsorted
-        [Obsolete("not implemented", true)]
-        static Tensor searchsorted(
-            Tensor sorted_sequence,
-            Tensor values,
-            bool out_int32 = false,
-            bool right = false,
-            side side = side.left,
-            Tensor? sorter = null)
-            => throw new NotImplementedException();
-
         // https://pytorch.org/docs/stable/generated/torch.tensordot
         /// <summary>
         /// Returns a contraction of <paramref name="a"/> and <paramref name="b"/> over multiple dimensions.

src/TorchSharp/TorchSharp.csproj

@@ -30,6 +30,7 @@
   <ItemGroup>
     <PackageReference Include="Google.Protobuf" Version="3.21.9" />
     <PackageReference Include="SharpZipLib" Version="1.4.0" />
+    <PackageReference Include="SkiaSharp" Version="2.88.3" />
     <PackageReference Include="System.Memory" Version="4.5.5" />
   </ItemGroup>
 

src/TorchSharp/Utils/tensorboard/Enums/HistogramBinSelector.cs

@@ -0,0 +1,13 @@
+namespace TorchSharp.Utils.tensorboard.Enums
+{
+    public enum HistogramBinSelector : byte
+    {
+        Doane = 0,
+        Rice,
+        Scott,
+        Sqrt,
+        Stone,
+        Sturges,
+        Tensorflow
+    }
+}