Improve tensor error messages and code readability.

Author: AhmedZero

src/TorchVision/Functional.cs

@@ -555,7 +555,7 @@ public static Tensor normalize(Tensor input, double[] means, double[] stdevs, bo
                     if (!input.is_floating_point())
                         throw new ArgumentException($"Input tensor should be a float tensor. Got {input.dtype}.");
                     if (input.ndim < 3)
-                        throw new ArgumentException($"Expected tensor to be a tensor image of size (..., C, H, W). Got tensor.size() = {input.size()}");
+                        throw new ArgumentException($"Expected tensor to be a tensor image of size (..., C, H, W). Got tensor.size() = ({string.Join(", ", input.shape)})");
                     if (!inplace)
                         input = input.clone();
 

src/TorchVision/Normalize.cs

@@ -23,7 +23,7 @@ internal Normalize(double[] means, double[] stdevs,bool inplace = false)
 
             public Tensor call(Tensor input)
             {
-                var expectedChannels = (input.shape.Length == 4) ? input.size(1) : input.size(0);
+                var expectedChannels = (input.ndim == 4) ? input.size(1) : input.size(0);
                 if (expectedChannels != means.Length)
                     throw new ArgumentException("The number of channels is not equal to the number of means and standard deviations");
                 return transforms.functional.normalize(input, means, stdevs, inplace);