图很奇怪
我已经运行了源代码来测试GPU。
from __future__ import print_function
import matplotlib
import matplotlib.pyplot as plt
import tensorflow as tf
import time
def get_times(maximum_time):
device_times = {
"/gpu:0":[],
"/cpu:0":[]
}
matrix_sizes = range(500,50000,50)
for size in matrix_sizes:
for device_name in device_times.keys():
print("####### Calculating on the " + device_name + " #######")
shape = (size,size)
data_type = tf.float16
with tf.device(device_name):
r1 = tf.random_uniform(shape=shape, minval=0, maxval=1, dtype=data_type)
r2 = tf.random_uniform(shape=shape, minval=0, maxval=1, dtype=data_type)
dot_operation = tf.matmul(r2, r1)
with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as session:
start_time = time.time()
result = session.run(dot_operation)
time_taken = time.time() - start_time
print(result)
device_times[device_name].append(time_taken)
print(device_times)
if time_taken > maximum_time:
return device_times, matrix_sizes
device_times, matrix_sizes = get_times(1.5)
gpu_times = device_times["/gpu:0"]
cpu_times = device_times["/cpu:0"]
plt.plot(matrix_sizes[:len(gpu_times)], gpu_times, 'o-')
plt.plot(matrix_sizes[:len(cpu_times)], cpu_times, 'o-')
plt.ylabel('Time')
plt.xlabel('Matrix size')
plt.show()
GPU的速度不断提高;原始图形显示速度几乎没有增加。
这是一个开发环境。 Python 3.7.0(anaconda3 5.3.1) CUDA 10.1 库登7.5.1