Traceback (most recent call last):
File "C:\Users\kidsa\Desktop\AI-Aimbot-main\main.py", line 250, in
main()
File "C:\Users\kidsa\Desktop\AI-Aimbot-main\main.py", line 152, in main
results = model(im, size=screenShotHeight)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, *kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 688, in forward
return self.model(ims.to(p.device).type_as(p), augment=augment) # inference
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 527, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 121, in _forward_once
x = m(x) # run
^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, *kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 71, in forward_fuse
return self.act(self.conv(x))
^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 463, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: "slow_conv2d_cpu" not implemented for 'Half'
"slow_conv2d_cpu" not implemented for 'Half'
Traceback (most recent call last): File "C:\Users\kidsa\Desktop\AI-Aimbot-main\main.py", line 250, in
main()
File "C:\Users\kidsa\Desktop\AI-Aimbot-main\main.py", line 152, in main
results = model(im, size=screenShotHeight)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, *kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 688, in forward
return self.model(ims.to(p.device).type_as(p), augment=augment) # inference
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 527, in forward
y = self.model(im, augment=augment, visualize=visualize) if augment or visualize else self.model(im)
^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 209, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\yolo.py", line 121, in _forward_once
x = m(x) # run
^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, *kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa/.cache\torch\hub\ultralytics_yolov5_master\models\common.py", line 71, in forward_fuse
return self.act(self.conv(x))
^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 463, in forward
return self._conv_forward(input, self.weight, self.bias)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kidsa\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\nn\modules\conv.py", line 459, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: "slow_conv2d_cpu" not implemented for 'Half'
"slow_conv2d_cpu" not implemented for 'Half'