| """ |
| 单元测试 — 模型模块 (Person B 实现后需通过) |
| """ |
|
|
| import pytest |
| import torch |
|
|
|
|
| class TestMultiHeadAttention: |
| """测试多头注意力。""" |
|
|
| def test_output_shape(self): |
| """测试输出维度正确。""" |
| |
| pass |
|
|
| def test_padding_mask(self): |
| """测试 padding mask 效果。""" |
| pass |
|
|
|
|
| class TestPositionalEncoding: |
| """测试位置编码。""" |
|
|
| def test_sinusoidal_shape(self): |
| """测试正弦位置编码输出维度。""" |
| pass |
|
|
| def test_rope_shape(self): |
| """测试 RoPE 输出维度。""" |
| pass |
|
|
| def test_rope_relative_distance(self): |
| """测试 RoPE 捕获相对距离。""" |
| pass |
|
|
|
|
| class TestTransformerModel: |
| """测试完整 Transformer 模型。""" |
|
|
| def test_forward_shape(self): |
| """测试前向传播输出维度。""" |
| |
| pass |
|
|
| def test_encode_shape(self): |
| """测试 encode 输出维度。""" |
| pass |
|
|
| def test_decode_step_shape(self): |
| """测试 decode_step 输出维度。""" |
| pass |
|
|
| def test_parameter_count(self): |
| """测试参数数量计算。""" |
| pass |
|
|
| def test_causal_mask(self): |
| """测试因果掩码生成。""" |
| pass |
|
|
