When I fit the data, the loss didn't decrease. Using the same codes on windows PC, I can get right results . And other codes including fit() also can't work and faced the same error. The errors shows the followings : 2021-07-29 16:55:02.257192: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2) 2021-07-29 16:55:02.258033: W tensorflow/core/platform/profile_utils/cpu_utils.cc:128] Failed to get CPU frequency: 0 Hz 2021-07-29 16:55:02.339241: I tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.cc:112] Plugin optimizer for device_type GPU is enabled. And the codes are : import tensorflow as tf import numpy as np from tensorflow import keras from matplotlib import pyplot as plt model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])]) model.compile(optimizer='sgd', loss='mean_squared_error') xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float) ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float) model.fit(xs, ys, epochs=500)