Merge pull request #98 from saddam213/UpscaleVideo

Video Upscale

OnnxStack.Core/Extensions/TensorExtension.cs

@@ -0,0 +1,84 @@
+using Microsoft.ML.OnnxRuntime.Tensors;
+using System;
+
+namespace OnnxStack.Core
+{
+    public static class TensorExtension
+    {
+        /// <summary>
+        /// Concatenates the specified tensors along the specified axis.
+        /// </summary>
+        /// <param name="tensor1">The tensor1.</param>
+        /// <param name="tensor2">The tensor2.</param>
+        /// <param name="axis">The axis.</param>
+        /// <returns></returns>
+        /// <exception cref="System.NotImplementedException">Only axis 0,1,2 is supported</exception>
+        public static DenseTensor<float> Concatenate(this DenseTensor<float> tensor1, DenseTensor<float> tensor2, int axis = 0)
+        {
+            if (tensor1 == null)
+                return tensor2.ToDenseTensor();
+
+            return axis switch
+            {
+                0 => ConcatenateAxis0(tensor1, tensor2),
+                1 => ConcatenateAxis1(tensor1, tensor2),
+                2 => ConcatenateAxis2(tensor1, tensor2),
+                _ => throw new NotImplementedException("Only axis 0, 1, 2 is supported")
+            };
+        }
+
+
+        private static DenseTensor<float> ConcatenateAxis0(this DenseTensor<float> tensor1, DenseTensor<float> tensor2)
+        {
+            var dimensions = tensor1.Dimensions.ToArray();
+            dimensions[0] += tensor2.Dimensions[0];
+
+            var buffer = new DenseTensor<float>(dimensions);
+            tensor1.Buffer.CopyTo(buffer.Buffer[..(int)tensor1.Length]);
+            tensor2.Buffer.CopyTo(buffer.Buffer[(int)tensor1.Length..]);
+            return buffer;
+        }
+
+
+        private static DenseTensor<float> ConcatenateAxis1(DenseTensor<float> tensor1, DenseTensor<float> tensor2)
+        {
+            var dimensions = tensor1.Dimensions.ToArray();
+            dimensions[1] += tensor2.Dimensions[1];
+            var concatenatedTensor = new DenseTensor<float>(dimensions);
+
+            // Copy data from the first tensor
+            for (int i = 0; i < dimensions[0]; i++)
+                for (int j = 0; j < tensor1.Dimensions[1]; j++)
+                    concatenatedTensor[i, j] = tensor1[i, j];
+
+            // Copy data from the second tensor
+            for (int i = 0; i < dimensions[0]; i++)
+                for (int j = 0; j < tensor1.Dimensions[1]; j++)
+                    concatenatedTensor[i, j + tensor1.Dimensions[1]] = tensor2[i, j];
+
+            return concatenatedTensor;
+        }
+
+
+        private static DenseTensor<float> ConcatenateAxis2(DenseTensor<float> tensor1, DenseTensor<float> tensor2)
+        {
+            var dimensions = tensor1.Dimensions.ToArray();
+            dimensions[2] += tensor2.Dimensions[2];
+            var concatenatedTensor = new DenseTensor<float>(dimensions);
+
+            // Copy data from the first tensor
+            for (int i = 0; i < dimensions[0]; i++)
+                for (int j = 0; j < dimensions[1]; j++)
+                    for (int k = 0; k < tensor1.Dimensions[2]; k++)
+                        concatenatedTensor[i, j, k] = tensor1[i, j, k];
+
+            // Copy data from the second tensor
+            for (int i = 0; i < dimensions[0]; i++)
+                for (int j = 0; j < dimensions[1]; j++)
+                    for (int k = 0; k < tensor2.Dimensions[2]; k++)
+                        concatenatedTensor[i, j, k + tensor1.Dimensions[2]] = tensor2[i, j, k];
+
+            return concatenatedTensor;
+        }
+    }
+}