Hi do you know if there are any specific reasons why the classification report does not print.
    t_predicitions=[t.squeeze().tolist() for t in t_predicitions]
   # print(classification_report(t_labels, t_predicitions))
    for y_test,y_test_labels in allTheDataloaders["Testing"]:
          return y_test,y_test_labels
    y_test_new=y_test.cpu().numpy()
    print(classification_report(y_test_new, t_predicitions))

I got the return values for the y_Test and y_Test labels but not the classification report
(tensor([[[[0.9804, 0.9961, 1.0000,  ..., 0.0588, 0.0549, 0.0510],
           [0.9569, 0.9804, 1.0000,  ..., 0.0549, 0.0510, 0.0471],
           [0.9608, 0.9686, 0.9843,  ..., 0.0471, 0.0471, 0.0431],
           ...,
           [0.7020, 0.7098, 0.6980,  ..., 0.0667, 0.0667, 0.0667],
           [0.6980, 0.7020, 0.6902,  ..., 0.0667, 0.0667, 0.0667],
           [0.6941, 0.6980, 0.6863,  ..., 0.0667, 0.0667, 0.0667]],
 
          [[0.0000, 0.0000, 0.0000,  ..., 0.0549, 0.0510, 0.0471],
           [0.0000, 0.0000, 0.0078,  ..., 0.0510, 0.0471, 0.0431],
           [0.0078, 0.0039, 0.0078,  ..., 0.0431, 0.0431, 0.0392],
           ...,
           [0.7529, 0.7529, 0.7333,  ..., 0.0824, 0.0824, 0.0824],
           [0.7490, 0.7451, 0.7294,  ..., 0.0824, 0.0824, 0.0824],
           [0.7451, 0.7412, 0.7255,  ..., 0.0824, 0.0824, 0.0824]],
 
          [[0.0941, 0.0902, 0.0824,  ..., 0.0392, 0.0353, 0.0392],
           [0.0824, 0.0863, 0.0941,  ..., 0.0353, 0.0314, 0.0353],
           [0.0941, 0.0863, 0.0863,  ..., 0.0275, 0.0353, 0.0314],
           ...,
           [0.5098, 0.5059, 0.4863,  ..., 0.0235, 0.0235, 0.0275],
           [0.5059, 0.4980, 0.4824,  ..., 0.0235, 0.0235, 0.0275],
           [0.5020, 0.4941, 0.4784,  ..., 0.0235, 0.0235, 0.0275]]],
 
 
         [[[0.4039, 0.4118, 0.4235,  ..., 0.0706, 0.0784, 0.0863],
           [0.4196, 0.4275, 0.4392,  ..., 0.0706, 0.0784, 0.0863],
           [0.4431, 0.4471, 0.4588,  ..., 0.0706, 0.0824, 0.0863],
           ...,
           [0.2784, 0.3333, 0.4471,  ..., 0.8431, 0.5804, 0.2431],
           [0.3333, 0.4902, 0.6431,  ..., 0.8314, 0.5412, 0.2392],
           [0.4745, 0.6431, 0.7569,  ..., 0.7725, 0.4588, 0.2549]],
 
          [[0.2863, 0.2941, 0.3059,  ..., 0.0784, 0.0863, 0.0941],
           [0.3020, 0.3098, 0.3216,  ..., 0.0784, 0.0863, 0.0941],
           [0.3255, 0.3294, 0.3412,  ..., 0.0784, 0.0902, 0.0941],
           ...,
           [0.3216, 0.3725, 0.4824,  ..., 0.8824, 0.6235, 0.2863],
           [0.3765, 0.5255, 0.6784,  ..., 0.8745, 0.5843, 0.2863],
           [0.5216, 0.6863, 0.8000,  ..., 0.8157, 0.5059, 0.3020]],
 
          [[0.1843, 0.1922, 0.2039,  ..., 0.0275, 0.0353, 0.0392],
           [0.2000, 0.2078, 0.2196,  ..., 0.0275, 0.0353, 0.0431],
           [0.2235, 0.2275, 0.2392,  ..., 0.0275, 0.0392, 0.0431],
           ...,
           [0.2039, 0.2745, 0.4039,  ..., 0.7765, 0.5059, 0.1569],
           [0.2784, 0.4431, 0.6118,  ..., 0.7569, 0.4471, 0.1451],
           [0.4353, 0.6196, 0.7451,  ..., 0.6824, 0.3647, 0.1529]]],
 
 
         [[[0.6314, 0.6353, 0.6353,  ..., 0.0549, 0.0549, 0.0549],
           [0.6314, 0.6314, 0.6353,  ..., 0.0588, 0.0588, 0.0588],
           [0.6275, 0.6275, 0.6314,  ..., 0.0627, 0.0627, 0.0588],
           ...,
           [0.3490, 0.3490, 0.3569,  ..., 0.2824, 0.2667, 0.2431],
           [0.3569, 0.3569, 0.3569,  ..., 0.3176, 0.2941, 0.2667],
           [0.3569, 0.3529, 0.3529,  ..., 0.3216, 0.2980, 0.2706]],
 
          [[0.3176, 0.3216, 0.3216,  ..., 0.0471, 0.0471, 0.0471],
           [0.3176, 0.3176, 0.3216,  ..., 0.0510, 0.0510, 0.0510],
           [0.3137, 0.3137, 0.3176,  ..., 0.0549, 0.0549, 0.0510],
           ...,
           [0.0118, 0.0157, 0.0118,  ..., 0.1882, 0.1686, 0.1529],
           [0.0118, 0.0118, 0.0118,  ..., 0.2235, 0.1961, 0.1765],
           [0.0118, 0.0078, 0.0118,  ..., 0.2275, 0.2039, 0.1804]],
 
          [[0.5529, 0.5569, 0.5569,  ..., 0.0510, 0.0510, 0.0510],
           [0.5569, 0.5569, 0.5608,  ..., 0.0549, 0.0549, 0.0549],
           [0.5529, 0.5529, 0.5569,  ..., 0.0588, 0.0588, 0.0549],
           ...,
           [0.2510, 0.2471, 0.2392,  ..., 0.1490, 0.1412, 0.1294],
           [0.2471, 0.2471, 0.2392,  ..., 0.1843, 0.1686, 0.1529],
           [0.2392, 0.2353, 0.2275,  ..., 0.1882, 0.1647, 0.1490]]],
 
 
         ...,
 
 
         [[[0.6745, 0.7176, 0.7294,  ..., 0.8235, 0.8118, 0.8353],
           [0.7843, 0.7765, 0.7294,  ..., 0.7961, 0.7922, 0.8314],
           [0.8510, 0.7961, 0.7059,  ..., 0.7804, 0.7961, 0.8431],
           ...,
           [0.8157, 0.7804, 0.7882,  ..., 0.9333, 0.9608, 0.9176],
           [0.8471, 0.8078, 0.7961,  ..., 0.8392, 0.9098, 0.9333],
           [0.9020, 0.8275, 0.7922,  ..., 0.8118, 0.8824, 0.9373]],
 
          [[0.3216, 0.3569, 0.3686,  ..., 0.1922, 0.1922, 0.2235],
           [0.4157, 0.4039, 0.3608,  ..., 0.1725, 0.1843, 0.2196],
           [0.4627, 0.4118, 0.3216,  ..., 0.1608, 0.1843, 0.2392],
           ...,
           [0.2235, 0.1882, 0.2000,  ..., 0.5843, 0.6157, 0.5725],
           [0.2471, 0.2078, 0.1961,  ..., 0.4902, 0.5647, 0.5843],
           [0.2941, 0.2275, 0.1882,  ..., 0.4706, 0.5451, 0.5961]],
 
          [[0.6118, 0.6510, 0.6706,  ..., 0.3529, 0.3490, 0.3804],
           [0.7059, 0.7020, 0.6667,  ..., 0.3216, 0.3333, 0.3725],
           [0.7490, 0.7059, 0.6235,  ..., 0.2980, 0.3255, 0.3882],
           ...,
           [0.3922, 0.3647, 0.3765,  ..., 0.9137, 0.9451, 0.9020],
           [0.4196, 0.3804, 0.3765,  ..., 0.8196, 0.8941, 0.9098],
           [0.4588, 0.4000, 0.3608,  ..., 0.8078, 0.8824, 0.9255]]],
 
 
         [[[0.2392, 0.2235, 0.2039,  ..., 0.7098, 0.7059, 0.7020],
           [0.2471, 0.2353, 0.2196,  ..., 0.7059, 0.6980, 0.6941],
           [0.2549, 0.2392, 0.2235,  ..., 0.6980, 0.6941, 0.6902],
           ...,
           [0.2314, 0.2353, 0.2392,  ..., 0.1059, 0.1020, 0.1020],
           [0.2196, 0.2235, 0.2314,  ..., 0.1059, 0.1020, 0.1020],
           [0.2157, 0.2157, 0.2196,  ..., 0.1059, 0.1020, 0.1020]],
 
          [[0.1686, 0.1608, 0.1529,  ..., 0.7137, 0.7098, 0.7020],
           [0.1804, 0.1647, 0.1529,  ..., 0.7098, 0.7020, 0.6980],
           [0.1804, 0.1725, 0.1608,  ..., 0.7020, 0.6980, 0.6941],
           ...,
           [0.2667, 0.2706, 0.2745,  ..., 0.1294, 0.1255, 0.1216],
           [0.2588, 0.2627, 0.2667,  ..., 0.1294, 0.1255, 0.1216],
           [0.2549, 0.2549, 0.2588,  ..., 0.1294, 0.1255, 0.1216]],
 
          [[0.1137, 0.1020, 0.0902,  ..., 0.6941, 0.6902, 0.6941],
           [0.1176, 0.1098, 0.0980,  ..., 0.6902, 0.6824, 0.6784],
           [0.1216, 0.1098, 0.1020,  ..., 0.6784, 0.6745, 0.6706],
           ...,
           [0.0431, 0.0471, 0.0510,  ..., 0.0275, 0.0235, 0.0314],
           [0.0235, 0.0275, 0.0392,  ..., 0.0275, 0.0235, 0.0314],
           [0.0196, 0.0196, 0.0235,  ..., 0.0275, 0.0235, 0.0314]]],
 
 
         [[[0.1059, 0.1059, 0.1059,  ..., 0.5216, 0.5569, 0.5843],
           [0.1137, 0.1137, 0.1137,  ..., 0.5333, 0.5569, 0.5804],
           [0.1098, 0.1098, 0.1098,  ..., 0.5490, 0.5647, 0.5804],
           ...,
           [0.0549, 0.0549, 0.0549,  ..., 0.4824, 0.4627, 0.4471],
           [0.0549, 0.0549, 0.0549,  ..., 0.5059, 0.4863, 0.4706],
           [0.0549, 0.0549, 0.0549,  ..., 0.5098, 0.4902, 0.4745]],
 
          [[0.0824, 0.0824, 0.0824,  ..., 0.2745, 0.2824, 0.2980],
           [0.0784, 0.0784, 0.0784,  ..., 0.2863, 0.2824, 0.2941],
           [0.0745, 0.0745, 0.0745,  ..., 0.2980, 0.2863, 0.2902],
           ...,
           [0.0471, 0.0471, 0.0471,  ..., 0.3294, 0.3176, 0.3020],
           [0.0471, 0.0471, 0.0471,  ..., 0.3490, 0.3333, 0.3176],
           [0.0471, 0.0471, 0.0471,  ..., 0.3569, 0.3333, 0.3176]],
 
          [[0.0902, 0.0902, 0.0902,  ..., 0.5490, 0.5647, 0.5843],
           [0.0902, 0.0902, 0.0902,  ..., 0.5725, 0.5725, 0.5843],
           [0.0863, 0.0863, 0.0863,  ..., 0.5961, 0.5843, 0.5843],
           ...,
           [0.0510, 0.0510, 0.0510,  ..., 0.2784, 0.2667, 0.2588],
           [0.0510, 0.0510, 0.0510,  ..., 0.3020, 0.2824, 0.2706],
           [0.0510, 0.0510, 0.0510,  ..., 0.2980, 0.2863, 0.2706]]]]),
 tensor([1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0]))

Apologies for asking soo many questions.
Once again thank you for helping me so far.