util.py 文件源码

def res5c_branch2b_2_res5c_branch2c(res5c_branch2b_relu, conv_params, bn_params):
    res5c_branch2c = conv2d(input=res5c_branch2b_relu, filters=conv_params['res5c_branch2c_0'], border_mode='valid', filter_flip=False)
    bn5c_branch2c = (res5c_branch2c - bn_params['bn5c_branch2c_0'].dimshuffle('x', 0, 'x', 'x')) / tensor.sqrt(bn_params['bn5c_branch2c_1'].dimshuffle('x', 0, 'x', 'x') + numpy.float32(1e-5))
    scale5c_branch2c = bn5c_branch2c * bn_params['scale5c_branch2c_0'].dimshuffle('x', 0, 'x', 'x') + bn_params['scale5c_branch2c_1'].dimshuffle('x', 0, 'x', 'x')

    return scale5c_branch2c