Large discrepancy between ptflops 0.7.0 and 0.7.1

[postrational]

I'm having a problem with ptflops 0.7.1 and higher.

I managed to isolate the problem to this sample code:

import torch.nn as nn

class Model(nn.Module):

    def __init__(self):
        super().__init__()
        self.conv1 = nn.Conv1d(1, 20, 5)
        self.conv2 = nn.Conv1d(20, 20, 5)

    def forward(self, x):
        y = nn.functional.relu(self.conv1(x))
        y = nn.functional.relu(self.conv2(y))
        return y

from ptflops import get_model_complexity_info

model = Model()
input_shape = (48000,)
get_model_complexity_info(model, input_shape, as_strings=True, print_per_layer_stat=True)

In ptflops 0.7.0 I get 40.52 KMac:

Model(
  2.14 k, 100.000% Params, 40.52 KMac, 100.000% MACs,
  (conv1): Conv1d(120, 5.607% Params, 120.0 Mac, 0.296% MACs, 1, 20, kernel_size=(5,), stride=(1,))
  (conv2): Conv1d(2.02 k, 94.393% Params, 40.4 KMac, 99.704% MACs, 20, 20, kernel_size=(5,), stride=(1,))
)
Out: ('40.52 KMac', '2.14 k')

In version 7.0.1 and higher I get a value of 1.96 MMac:

Model(
  2.14 k, 100.000% Params, 40.52 KMac, 2.067% MACs,
  (conv1): Conv1d(120, 5.607% Params, 120.0 Mac, 0.006% MACs, 1, 20, kernel_size=(5,), stride=(1,))
  (conv2): Conv1d(2.02 k, 94.393% Params, 40.4 KMac, 2.061% MACs, 20, 20, kernel_size=(5,), stride=(1,))
)
Out[2]: ('1.96 MMac', '2.14 k')

Where does the large discepancy come from and which value is more reliable?