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为equatiohn/pde/linear_elasticity.py添加单元测试 #416
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test:equation/pde/linear_elasticity.py
Thanks for your contribution! |
import pytest | ||
from paddle import nn | ||
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from ppsci.equation import LinearElasticity |
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不要从模块中直接导入某一个类,改为 from ppsci import equation
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def jacobian(y: paddle.Tensor, x: paddle.Tensor) -> paddle.Tensor: | ||
return paddle.grad(y, x, create_graph=True, allow_unused=True)[0] |
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去掉 allow_unused=True
def jacobian(y: paddle.Tensor, x: paddle.Tensor) -> paddle.Tensor: | ||
return paddle.grad(y, x, create_graph=True, allow_unused=True)[0] | ||
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def hessian(y: paddle.Tensor, x: paddle.Tensor) -> paddle.Tensor: | ||
return jacobian(jacobian(y, x), x) |
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jacobian 和 hessian 的函数移动到所有函数的上方
sigma_xx, sigma_xy, sigma_xz, sigma_yy, sigma_yz, sigma_zz = ( | ||
output[:, 3:4], | ||
output[:, 4:5], | ||
output[:, 5:6], | ||
output[:, 6:7], | ||
output[:, 7:8], | ||
output[:, 8:9], | ||
) |
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用 paddle.split 而不是手动切片得到各个分量的结果
if __name__ == "__main__": | ||
pytest.main() | ||
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# test_linear_elasticity_navier_y(1e4, 0.3, None, None, 1, 2, True) |
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删除注释
"E, nu, lambda_, mu, rho, dim, time", | ||
[ | ||
(1e4, 0.3, None, None, 1, 2, False), | ||
(1e4, 0.3, None, None, 1, 2, True), | ||
(1e4, 0.3, None, None, 1, 3, False), | ||
(1e4, 0.3, None, None, 1, 3, True), | ||
], |
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目前这个类还未添加对 E
和 nu
的处理逻辑,应该为 E
和 nu
设置为None,而 lambda_
和 mu
设置为实数值
好滴,正在改 |
已经按照review修改,请过目 |
if lambda_ is None or mu is None: | ||
lambda_ = (E * nu) / ((1 + nu) * (1 - 2 * nu)) | ||
mu = E / (2 * (1 + nu)) |
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目前 LinearElasticity
对给定 E和nu的情况没有进行处理,可以先把这部分的单测case和相关代码删掉
(1e4, 0.3, None, None, 1, 2, False), | ||
(1e4, 0.3, None, None, 1, 2, True), | ||
(1e4, 0.3, None, None, 1, 3, False), | ||
(1e4, 0.3, None, None, 1, 3, True), |
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目前 LinearElasticity
对给定 E和nu的情况没有进行处理,可以先把这部分的单测case删掉
# generate output through the model | ||
output = model(input_data) | ||
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# 提取输出中的u, v, w, sigma_xx, sigma_xy, sigma_xz, sigma_yy, sigma_yz, sigma_zz |
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删除这行注释
test_stress_disp_xx = linear_elasticity.equations["stress_disp_xx"](data_dict) | ||
test_stress_disp_yy = linear_elasticity.equations["stress_disp_yy"](data_dict) | ||
test_stress_disp_xy = linear_elasticity.equations["stress_disp_xy"](data_dict) | ||
test_equilibrium_x = linear_elasticity.equations["equilibrium_x"](data_dict) | ||
test_equilibrium_y = linear_elasticity.equations["equilibrium_y"](data_dict) | ||
test_navier_x = linear_elasticity.equations["navier_x"](data_dict) | ||
test_navier_y = linear_elasticity.equations["navier_y"](data_dict) | ||
test_traction_x = linear_elasticity.equations["traction_x"](data_dict) | ||
test_traction_y = linear_elasticity.equations["traction_y"](data_dict) | ||
if dim == 3: | ||
test_stress_zz = linear_elasticity.equations["stress_disp_zz"](data_dict) | ||
test_stress_xz = linear_elasticity.equations["stress_disp_xz"](data_dict) | ||
test_stress_yz = linear_elasticity.equations["stress_disp_yz"](data_dict) | ||
test_equilibrium_z = linear_elasticity.equations["equilibrium_z"](data_dict) | ||
test_navier_z = linear_elasticity.equations["navier_z"](data_dict) | ||
test_traction_z = linear_elasticity.equations["traction_z"](data_dict) | ||
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assert paddle.allclose(expected_stress_disp_xx, test_stress_disp_xx) | ||
assert paddle.allclose(expected_stress_disp_yy, test_stress_disp_yy) | ||
assert paddle.allclose(expected_stress_disp_xy, test_stress_disp_xy) | ||
assert paddle.allclose(expected_equilibrium_x, test_equilibrium_x) | ||
assert paddle.allclose(expected_equilibrium_y, test_equilibrium_y) | ||
assert paddle.allclose(expected_navier_x, test_navier_x) | ||
assert paddle.allclose(expected_navier_y, test_navier_y) | ||
assert paddle.allclose(expected_traction_x, test_traction_x) | ||
assert paddle.allclose(expected_traction_y, test_traction_y) | ||
if dim == 3: | ||
assert paddle.allclose(expected_stress_disp_zz, test_stress_zz) | ||
assert paddle.allclose(expected_stress_disp_xz, test_stress_xz) | ||
assert paddle.allclose(expected_stress_disp_yz, test_stress_yz) | ||
assert paddle.allclose(expected_equilibrium_z, test_equilibrium_z) | ||
assert paddle.allclose(expected_traction_z, test_traction_z) | ||
assert paddle.allclose(expected_navier_z, test_navier_z) |
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把test_xxx用for循环放到字典里,减少冗余代码
test_output_names = ["stress_disp_xx", "stress_disp_yy", ...]
test_output = {}
for name in test_output_names:
test_output[name] = linear_elasticity.equations[name](data_dict)
下面的 assert 同理
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好滴,马上改
linear_elasticity = equation.LinearElasticity( | ||
E=None, nu=None, lambda_=lambda_, mu=mu, rho=rho, dim=dim, time=time | ||
) |
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虽然E和nu暂时只会是None,但这里的E和nu应该用传进来的参数填写吧
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好的
test_output_names = [ | ||
"stress_disp_xx", | ||
"stress_disp_yy", | ||
"stress_disp_xy", | ||
"equilibrium_x", | ||
"equilibrium_y", | ||
"navier_x", | ||
"navier_y", | ||
"traction_x", | ||
"traction_y", | ||
] | ||
test_output = {} | ||
for name in test_output_names: | ||
test_output[name] = linear_elasticity.equations[name](data_dict) | ||
test_output_names = [ | ||
"stress_disp_xx", | ||
"stress_disp_yy", | ||
"stress_disp_xy", | ||
"equilibrium_x", | ||
"equilibrium_y", | ||
"navier_x", | ||
"navier_y", | ||
"traction_x", | ||
"traction_y", | ||
] |
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这里为什么要给 test_output_names 赋值两次呢
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眼花了
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再改一处就OK了
if dim == 3: | ||
input_data = paddle.concat([input_data, z], axis=1) | ||
if time: | ||
input_data = paddle.concat([input_data, t], axis=1) |
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PaddleScience里,时间数据t如果有的话,会排在通道维度的最前面,input_data = paddle.concat([t, input_data], axis=1)
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okok
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okok
感觉你应该理解错了,我的意思是 时间t和其他通道的数据堆叠在一起时,应该排在第一个通道上……
也就是第 177行代码应该改成 input_data = paddle.concat([t, input_data], axis=1)
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哦哦好的
if dim == 3: | ||
input_data = paddle.concat([input_data, z], axis=1) | ||
if time: | ||
input_data = paddle.concat([input_data, t], axis=1) |
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okok
感觉你应该理解错了,我的意思是 时间t和其他通道的数据堆叠在一起时,应该排在第一个通道上……
也就是第 177行代码应该改成 input_data = paddle.concat([t, input_data], axis=1)
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LGTM
hi, @ruoyunbai
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* Create test_linear_elasticity.py test:equation/pde/linear_elasticity.py * Update test_linear_elasticity.py * fix:修正了review提出的问题 * fix:code style * fix:删除注释 * fix:code style * fix:重复代码 * Update test_linear_elasticity.py * time排在dim之前 * fix:t front * style
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为equatiohn/pde/linear_elasticity.py添加单元测试