无法在ios设备和模拟器Flutter上启动应用程序

时间:2018-07-19 11:51:43

标签: firebase dart flutter

我的应用无法在设备或模拟器上启动,并且出现此错误消息。按照说明,我已经在Xcode中启用了调试日志记录,但是仍然出现相同的错误,并且我的应用无法在启动时启动。这是我正在配置Firebase的AppDelegate.m类,如果在AppDelegate.m中对此行添加注释,则为[GeneratedPluginRegistrant registerWithRegistry:self];然后我的应用程序启动,我得到

  

MissingPluginException错误。

B

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import torch
import numpy as np

def cov_complex(m_comp):
    # (adding further parameters such as `y` is left for exercise)
    # Supposing real and img are stored separately in the last dim:
    real, img = m_comp[..., 0], m_comp[..., 1] 
    x_real = real - torch.mean(real, dim=1)[:, None]
    x_img = img - torch.mean(img, dim=1)[:, None]
    x_real_T = x_real.t()
    x_img_T = x_img.t()
    frac = 1 / (x_real.size(1) - 1)

    cov_real = frac * (x_real.mm(x_real_T) + x_img.mm(x_img_T))
    cov_img = frac * (-x_real.mm(x_img_T) + x_img.mm(x_real_T))
    return torch.stack((cov_real, cov_img), dim=-1)

# Matrix with real/img values stored separately in last dimension:
M_np = np.random.rand(3, 2, 2)  
# Same matrix converted to np.complex format:                  
M_comp_np = M_np.view(dtype=np.complex128)[...,0]
# Same matrix as torch.Tensor:
M = torch.from_numpy(M_np)

cov_com_np = np.cov(M_comp_np)
cov_com = cov_complex(M)
eq = np.allclose(cov_com_np, cov_com.numpy().view(dtype=np.complex128)[...,0])
print("Numpy & Torch complex covariance results equal? > {}".format(eq))
# Numpy & PyTorch complex covariance results equal? > True

0 个答案:

没有答案