Regarding quantization

“”"import torch

import torch.nn as nn

m = nn.quantized.Conv2d(16, 33, 3, stride=2)

input = torch.randn(20, 16, 50, 100)

q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, dtype=torch.qint32)

output = m(input)"""

i got error like this can anyone help me out

RuntimeError: Could not run ‘quantized::conv2d’ with arguments from the ‘CPUTensorId’ backend. ‘quantized::conv2d’ is only available for these backends: [QuantizedCPUTensorId].