update

.gitlab-ci.yml

@@ -35,10 +35,10 @@ build:server:
         paths:
             - build/third_party
     script:
-        #- export http_proxy=http://172.19.57.45:3128
-        #- export https_proxy=http://172.19.57.45:3128
-        - export http_proxy=http://agent.baidu.com:8118
-        - export https_proxy=http://agent.baidu.com:8118
+        - export http_proxy=http://172.19.57.45:3128
+        - export https_proxy=http://172.19.57.45:3128
+        #- export http_proxy=http://agent.baidu.com:8118
+        #- export https_proxy=http://agent.baidu.com:8118
         - mkdir -p build
         - cd build
         - ../paddle/fluid/lite/tools/build.sh cmake_x86

paddle/fluid/lite/core/naive_test_model.py

@@ -18,10 +18,10 @@ import numpy as np
 import paddle.fluid as fluid
 from paddle.fluid.backward import append_backward
 
-a = fluid.layers.data(name="a", shape=[100], dtype='float32')
-label = fluid.layers.data(name="label", shape=[100], dtype='float32')
+a = fluid.layers.data(name="a", shape=[2], dtype='float32')
+label = fluid.layers.data(name="label", shape=[10], dtype='float32')
 
-a1 = fluid.layers.fc(input=a, size=500, act=None, bias_attr=False)
+a1 = fluid.layers.fc(input=a, size=3, act=None, bias_attr=False)
 
 cost = fluid.layers.square_error_cost(a1, label)
 avg_cost = fluid.layers.mean(cost)
@@ -36,7 +36,7 @@ exe.run(fluid.default_startup_program())
 with open('startup_program.pb', 'wb') as f:
     f.write(fluid.default_startup_program().desc.serialize_to_string())
 
-data_1 = np.array(numpy.random.random([100, 100]), dtype='float32')
+#data_1 = np.array(numpy.random.random([100, 100]), dtype='float32')
 
 #fluid.default_main_program().desc.
 
@@ -50,7 +50,7 @@ with open('main_program.pb', 'wb') as f:
 
 #outs = exe.run(program=prog, feed={'a':data_1, }, fetch_list=[cost])
 
-sys.exit(0)
+#sys.exit(0)
 fluid.io.save_inference_model("./model2", [a.name], [a1], exe)
 
-print(numpy.array(outs))
+#print(numpy.array(outs))