Assign the value to the tensorvariable

Questions
1

Now I have a array m_srs and a observed dataset Y.
the number in the dataset Y is num_Conc
In the block (for iteration), I tried to calculate the predicted data result_ConcCal.
For the i th data in result_ConcCal, i will need to find the factor in the m_srs.
here is the error
how can assign the values?

TypeError: float() argument must be a string or a number, not 'TensorVariable'


The above exception was the direct cause of the following exception:

Traceback (most recent call last):

  File "<ipython-input-56-8947d73df26d>", line 35, in <module>
    result_ConcCal[i] = result_ConcCal[i] +  releaserate*1000*time_release_interval/3600 * matrix_temp / grid_volume / time_res * 10 ** 9  # 9 ng/m3 6 μBq/m3   3 mBq/m3

ValueError: setting an array element with a sequence.

with basic_model:

    # Priors for unknown model parameters   
    longitude = pm.Uniform("longitude", lower=-10, upper=10,transform=None)   
    latitude = pm.Uniform("latitude", lower=45, upper=55,transform=None)
    releaserate = pm.Uniform("releaserate", lower=0, upper=100,shape=1,transform=None)
    sigma=1
    m_srs_model = pm.Data('m_srs_model', m_srs)
    lon_index=pm.theanof.intX(((longitude)-lon_start)/lon_res)
    lat_index=pm.theanof.intX(((latitude)-lat_start)/lat_res)
    num_Conc = len(MD_conc)
    result_ConcCal = [0] * num_Conc
    grid_area = 100 * 1000 * lon_res * 100 * 1000 * lat_res 
    grid_volume = grid_area * level_height
    result_ConcCal=np.zeros(num_Conc)
    for i in range(num_Conc):        
        for j in range(time_dur):
            release_time = j
            index_matrix = i * time_dur + release_time

            matrix_temp = m_srs_model[index_matrix][lat_index][lon_index]

            result_ConcCal[i] = result_ConcCal[i] +  releaserate*1000*time_release_interval/3600 * matrix_temp / grid_volume / time_res * 10 ** 9  # 9 ng/m3 6 μBq/m3   3 mBq/m3

    Y_pre=result_ConcCal
    
    Y_obs=pm.Normal("Y_obs", mu=Y_pre, sigma=sigma, observed=Y)
    
    trace_g=pm.sample(1000,tune=1000)
2

After adjusting the m_srs, the problem is solved.

3

Hello, may I ask how you adjusted m_srs?