util.py 文件源码

def res5c_branch2a_2_res5c_branch2b(res5c_branch2a_relu, conv_params, bn_params):
    res5c_branch2b = conv2d(input=res5c_branch2a_relu, filters=conv_params['res5c_branch2b_0'], border_mode='half', filter_flip=False)
    bn5c_branch2b = (res5c_branch2b - bn_params['bn5c_branch2b_0'].dimshuffle('x', 0, 'x', 'x')) / tensor.sqrt(bn_params['bn5c_branch2b_1'].dimshuffle('x', 0, 'x', 'x') + numpy.float32(1e-5))
    scale5c_branch2b = bn5c_branch2b * bn_params['scale5c_branch2b_0'].dimshuffle('x', 0, 'x', 'x') + bn_params['scale5c_branch2b_1'].dimshuffle('x', 0, 'x', 'x')
    res5c_branch2b_relu = tensor.nnet.relu(scale5c_branch2b, alpha=0.0)

    return res5c_branch2b_relu