问关于机器学习的问题，跟着敲了一段代码，报错了，求告诉为什么这样？

代码，我怕是我代码敲错了，从视频课程的git那 拉下来的代码 仍然报错，如下

from __future__ import print_function
import theano
import theano.tensor as T
import numpy as np
import matplotlib.pyplot as plt


class Layer(object):
    def __init__(self, inputs, in_size, out_size, activation_function=None):
        self.W = theano.shared(np.random.normal(0, 1, (in_size, out_size)))
        self.b = theano.shared(np.zeros((out_size,)) + 0.1)
        self.Wx_plus_b = T.dot(inputs, self.W) + self.b
        self.activation_function = activation_function
        if activation_function is None:
            self.outputs = self.Wx_plus_b
        else:
            self.outputs = self.activation_function(self.Wx_plus_b)


# Make up some fake data
x_data = np.linspace(-1, 1, 300)[:, np.newaxis]
noise = np.random.normal(0, 0.05, x_data.shape)
y_data = np.square(x_data) - 0.5 + noise  # y = x^2 - 0.5

# show the fake data
# plt.scatter(x_data, y_data)
plt.show()

# determine the inputs dtype
x = T.dmatrix("x")
y = T.dmatrix("y")

# add layers
l1 = Layer(x, 1, 10, T.nnet.relu)
l2 = Layer(l1.outputs, 10, 1, None)

# compute the cost
cost = T.mean(T.square(l2.outputs - y))

# compute the gradients
gW1, gb1, gW2, gb2 = T.grad(cost, [l1.W, l1.b, l2.W, l2.b])

# apply gradient descent
learning_rate = 0.05
train = theano.function(
    inputs=[x, y],
    outputs=[cost],
    updates=[(l1.W, l1.W - learning_rate * gW1),
             (l1.b, l1.b - learning_rate * gb1),
             (l2.W, l2.W - learning_rate * gW2),
             (l2.b, l2.b - learning_rate * gb2)])

# prediction
predict = theano.function(inputs=[x], outputs=l2.outputs)

# plot the real data
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x_data, y_data)
plt.ion()
plt.show()

for i in range(1000):
    # training
    err = train(x_data, y_data)
    if i % 50 == 0:
        # to visualize the result and improvement
        try:
            ax.lines.remove(lines[0])
        except Exception:
            pass
        prediction_value = predict(x_data)
        # plot the prediction
        lines = ax.plot(x_data, prediction_value, 'r-', lw=5)
        plt.pause(.5)

下面是错误

F:\pytest\venv\Scripts\python.exe F:/pytest/newfiles.py

You can find the C code in this temporary file: C:\Users\gjc\AppData\Local\Temp\theano_compilation_error_86cutf1g

library mkl_rt is not found.

Traceback (most recent call last):

File "F:/pytest/newfiles.py", line 51, in <module>

(l2.b, l2.b - learning_rate * gb2)])

File "F:\pytest\venv\lib\site-packages\theano\compile\function.py", line 317, in function

output_keys=output_keys)

File "F:\pytest\venv\lib\site-packages\theano\compile\pfunc.py", line 486, in pfunc

output_keys=output_keys)

File "F:\pytest\venv\lib\site-packages\theano\compile\function_module.py", line 1841, in orig_function

fn = m.create(defaults)

File "F:\pytest\venv\lib\site-packages\theano\compile\function_module.py", line 1715, in create

input_storage=input_storage_lists, storage_map=storage_map)

File "F:\pytest\venv\lib\site-packages\theano\gof\link.py", line 699, in make_thunk

storage_map=storage_map)[:3]

File "F:\pytest\venv\lib\site-packages\theano\gof\vm.py", line 1091, in make_all

impl=impl))

File "F:\pytest\venv\lib\site-packages\theano\gof\op.py", line 955, in make_thunk

no_recycling)

File "F:\pytest\venv\lib\site-packages\theano\gof\op.py", line 858, in make_c_thunk

output_storage=node_output_storage)

File "F:\pytest\venv\lib\site-packages\theano\gof\cc.py", line 1217, in make_thunk

keep_lock=keep_lock)

File "F:\pytest\venv\lib\site-packages\theano\gof\cc.py", line 1157, in __compile__

keep_lock=keep_lock)

File "F:\pytest\venv\lib\site-packages\theano\gof\cc.py", line 1624, in cthunk_factory

key=key, lnk=self, keep_lock=keep_lock)

File "F:\pytest\venv\lib\site-packages\theano\gof\cmodule.py", line 1189, in module_from_key

module = lnk.compile_cmodule(location)

File "F:\pytest\venv\lib\site-packages\theano\gof\cc.py", line 1527, in compile_cmodule

preargs=preargs)

File "F:\pytest\venv\lib\site-packages\theano\gof\cmodule.py", line 2396, in compile_st

(status, compile_stderr.replace('\n', '. ')))

Exception: ('The following error happened while compiling the node', Dot22(x, <TensorType(float64, matrix)>), '\n', 'Compilation failed (return status=1): F:/MyDrivers/x86_64-8.1.0-release-posix-seh-rt_v6-rev0/mingw64/bin/../lib/gcc/x86_64-w64-mingw32/8.1.0/../../../../x86_64-w64-mingw32/bin/ld.exe: cannot find -lmkl_rt\r. collect2.exe: error: ld returned 1 exit status. ', '[Dot22(x, <TensorType(float64, matrix)>)]')

Process finished with exit code 1

求大神解答 ，萌新很懵= = gcc环境也有