diff --git a/autotest/autotest.cpp b/autotest/autotest.cpp
index 37179f99f62..d6df3324680 100644
--- a/autotest/autotest.cpp
+++ b/autotest/autotest.cpp
@@ -7,11 +7,11 @@
 #include "opencv.h"
 #include "platform.h"
 
-#include "test_convlution.h"
+#include "test_convolution.h"
 #include "test_innerproduct.h"
 #include "gtest/gtest.h"
 
 int main(int argc, char **argv){
     ::testing::InitGoogleTest(&argc, argv);
     return RUN_ALL_TESTS();
-}
\ No newline at end of file
+}
diff --git a/autotest/test_convlution.h b/autotest/test_convolution.h
similarity index 95%
rename from autotest/test_convlution.h
rename to autotest/test_convolution.h
index c3243d89cfe..086877a1aa4 100644
--- a/autotest/test_convlution.h
+++ b/autotest/test_convolution.h
@@ -1,30 +1,30 @@
-#pragma once
-#include "gtest/gtest.h"
-#include "layer/convolution.h"
-using namespace ncnn;
-
-/*
-forward - pass:
-    [0,1,2,3,4,
-    1,2,3,4,5,          [1,1,1,           [ 9.5,    18.5,
-    2,3,4,5,6,  *  0.5*  1,1,1,  + 0.5 =
-    3,4,5,6,7,           1,1,1]            18.5,    27.5]
-    4,5,6,7,8]
-*/
-
-TEST(convolution, forward) 
-{
-    // layer params
-    Convolution convolution_layer;
-    convolution_layer.num_output = 1;
-    convolution_layer.kernel_size = 3;
-    convolution_layer.dilation = 1;
-    convolution_layer.stride = 2;
-    convolution_layer.pad = 0;
-    convolution_layer.bias_term = 1;
-    convolution_layer.weight_data_size = 9;
-
-    // input & output
+#pragma once
+#include "gtest/gtest.h"
+#include "layer/convolution.h"
+using namespace ncnn;
+
+/*
+forward - pass:
+    [0,1,2,3,4,
+    1,2,3,4,5,          [1,1,1,           [ 9.5,    18.5,
+    2,3,4,5,6,  *  0.5*  1,1,1,  + 0.5 =
+    3,4,5,6,7,           1,1,1]            18.5,    27.5]
+    4,5,6,7,8]
+*/
+
+TEST(convolution, forward)
+{
+    // layer params
+    Convolution convolution_layer;
+    convolution_layer.num_output = 1;
+    convolution_layer.kernel_size = 3;
+    convolution_layer.dilation = 1;
+    convolution_layer.stride = 2;
+    convolution_layer.pad = 0;
+    convolution_layer.bias_term = 1;
+    convolution_layer.weight_data_size = 9;
+
+    // input & output
     float_t in[] = {
         0.0f, 1.0f, 2.0f, 3.0f, 4.0f,
         1.0f, 2.0f, 3.0f, 4.0f, 5.0f,
@@ -49,22 +49,22 @@ TEST(convolution, forward)
     float_t b[] = {
         0.5f
     };
- 
-    // forward
-    Mat mat_in(5, 5, 1, in);
-    Mat mat_out;
-
-    convolution_layer.bias_data.data = b;
-    convolution_layer.weight_data.data = w;
-    convolution_layer.forward(mat_in, mat_out);
-
-    // check expect
-    EXPECT_EQ(mat_out.w, 2);
-    EXPECT_EQ(mat_out.h, 2);
-    EXPECT_EQ(mat_out.c, 1);
-    for (int i = 0; i < _countof(expected_out); ++i)
-    {
-        EXPECT_NEAR(mat_out[i], expected_out[i], 1E-5);
-    }
-
-}
\ No newline at end of file
+
+    // forward
+    Mat mat_in(5, 5, 1, in);
+    Mat mat_out;
+
+    convolution_layer.bias_data.data = b;
+    convolution_layer.weight_data.data = w;
+    convolution_layer.forward(mat_in, mat_out);
+
+    // check expect
+    EXPECT_EQ(mat_out.w, 2);
+    EXPECT_EQ(mat_out.h, 2);
+    EXPECT_EQ(mat_out.c, 1);
+    for (int i = 0; i < _countof(expected_out); ++i)
+    {
+        EXPECT_NEAR(mat_out[i], expected_out[i], 1E-5);
+    }
+
+}
diff --git a/autotest/test_innerproduct.h b/autotest/test_innerproduct.h
index f45affa8b6a..293bc439af5 100644
--- a/autotest/test_innerproduct.h
+++ b/autotest/test_innerproduct.h
@@ -1,23 +1,23 @@
-#pragma once
-#include "gtest/gtest.h"
-#include "layer/innerproduct.h"
-
-/*
-forward - pass:
-[0,1,2,3] * [1,1,1,1  + [0.5, = [6.5,
-             1,1,1,1]    0.5]    6.5]
-*/
-
-TEST(innerproduct, forward) 
-{
-    // layer params
-    InnerProduct inner_product_layer;
-    inner_product_layer.num_output = 2; // W
-    inner_product_layer.bias_term = 1;  // bias
-    inner_product_layer.weight_data_size = 3; // W + bias
-
-
-    // input & output
+#pragma once
+#include "gtest/gtest.h"
+#include "layer/innerproduct.h"
+
+/*
+forward - pass:
+[0,1,2,3] * [1,1,1,1  + [0.5, = [6.5,
+             1,1,1,1]    0.5]    6.5]
+*/
+
+TEST(innerproduct, forward)
+{
+    // layer params
+    InnerProduct inner_product_layer;
+    inner_product_layer.num_output = 2; // W
+    inner_product_layer.bias_term = 1;  // bias
+    inner_product_layer.weight_data_size = 3; // W + bias
+
+
+    // input & output
     float_t in[] = {
         0.0f, 1.0f, 2.0f, 3.0f
     };
@@ -29,27 +29,27 @@ TEST(innerproduct, forward)
 
     // weights & bias
     float_t w[] = {
-        1.0f, 1.0f, 1.0f, 1.0f,        
+        1.0f, 1.0f, 1.0f, 1.0f,
         1.0f, 1.0f, 1.0f, 1.0f
     };
 
     float_t b[] = {
         0.5f, 0.5f
     };
-
-    // forward
-    Mat mat_in(4, in);
-    Mat mat_out;
-
-    inner_product_layer.bias_data.data = b;
-    inner_product_layer.weight_data.data = w;
-    inner_product_layer.forward(mat_in, mat_out);
-
-    // check expect
-    EXPECT_EQ(mat_out.c, 2);
-    for (int i = 0; i < _countof(expected_out); ++i)
-    {
-        float output_value = *(mat_out.data + mat_out.cstep * i);
-        EXPECT_NEAR(output_value, expected_out[i], 1E-5);
-    }
-}
\ No newline at end of file
+
+    // forward
+    Mat mat_in(4, in);
+    Mat mat_out;
+
+    inner_product_layer.bias_data.data = b;
+    inner_product_layer.weight_data.data = w;
+    inner_product_layer.forward(mat_in, mat_out);
+
+    // check expect
+    EXPECT_EQ(mat_out.c, 2);
+    for (int i = 0; i < _countof(expected_out); ++i)
+    {
+        float output_value = *(mat_out.data + mat_out.cstep * i);
+        EXPECT_NEAR(output_value, expected_out[i], 1E-5);
+    }
+}