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- # -*- coding: utf-8 -*-
- import numpy as np
- import pytest
-
- from megengine import tensor
- from megengine.module import Conv1d, Conv2d, Conv3d, Linear
- from megengine.module.init import calculate_fan_in_and_fan_out, fill_
-
-
- def test_fill_():
- x = tensor(np.zeros((2, 3, 4)), dtype=np.float32)
- fill_(x, 5.0)
-
- np.testing.assert_array_equal(
- x.numpy(), np.full(shape=(2, 3, 4), fill_value=5.0, dtype=np.float32)
- )
-
-
- def test_calculate_fan_in_and_fan_out():
- l = Linear(in_features=3, out_features=8)
- fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- assert fanin == 3
- assert fanout == 8
-
- with pytest.raises(ValueError):
- calculate_fan_in_and_fan_out(l.bias)
-
- l = Conv1d(in_channels=2, out_channels=3, kernel_size=5)
- fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- assert fanin == 2 * 5
- assert fanout == 3 * 5
-
- # FIXME: will be wrong for group conv1d
- # l = Conv1d(in_channels=2, out_channels=4, kernel_size=5, groups=2)
- # fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- # assert fanin == 2 // 2 * 5
- # assert fanout == 4 // 2 * 5
-
- l = Conv2d(in_channels=2, out_channels=3, kernel_size=(5, 7))
- fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- assert fanin == 2 * 5 * 7
- assert fanout == 3 * 5 * 7
-
- l = Conv2d(in_channels=2, out_channels=4, kernel_size=(5, 7), groups=2)
- fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- assert fanin == 2 // 2 * 5 * 7
- assert fanout == 4 // 2 * 5 * 7
-
- # FIXME: will be wrong for conv3d
- # l = Conv3d(in_channels=2, out_channels=3, kernel_size=(5, 7, 9))
- # fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- # assert fanin == 2 * 5 * 7 * 9
- # assert fanout == 3 * 5 * 7 * 9
-
- l = Conv3d(in_channels=2, out_channels=4, kernel_size=(5, 7, 9), groups=2)
- fanin, fanout = calculate_fan_in_and_fan_out(l.weight)
- assert fanin == 2 // 2 * 5 * 7 * 9
- assert fanout == 4 // 2 * 5 * 7 * 9
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