提交 35bbb4fb 编写于 作者: P Peng Li

change float to real in two test

Change float in test_ConvTrans and test_ConvUnify to real.
上级 2965df51
......@@ -206,7 +206,7 @@ TEST(Layer, convTransLayerFwd2) {
/* filter_size */ 5,
result);
float resultData[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
real resultData[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
4, 2, 2, 4, 4, 4, 2, 1, 2, 2, 2, 1};
result->setData(resultData);
doOneConvtTest(/* imgSize */ 5,
......@@ -216,7 +216,7 @@ TEST(Layer, convTransLayerFwd2) {
/* filter_size */ 4,
result);
float resultData2[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
real resultData2[] = {1, 2, 2, 2, 1, 2, 4, 4, 4, 2, 2, 4, 4,
4, 2, 2, 4, 4, 4, 2, 1, 2, 2, 2, 1};
result->setData(resultData2);
doOneConvtTest(/* imgSize */ 5,
......@@ -226,7 +226,7 @@ TEST(Layer, convTransLayerFwd2) {
/* filter_size */ 5,
result);
float resultData3[] = {1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 4,
real resultData3[] = {1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 2, 4,
2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1};
result->setData(resultData3);
doOneConvtTest(/* imgSize */ 5,
......
......@@ -106,8 +106,8 @@ TEST(Layer, convParaUnified) {
#ifndef PADDLE_ONLY_CPU
MatrixPtr input, resultCpu, resultGpu;
input = Matrix::create(1, 4 * 4, false, false);
float inputData[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16};
float param[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1};
real inputData[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16};
real param[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 9, 8, 7, 6, 5, 4, 3, 2, 1};
input->setData(inputData);
......@@ -137,7 +137,7 @@ TEST(Layer, convParaUnified) {
checkMatrixEqual(resultCpu, resultGpu);
input = Matrix::create(1, 3 * 3 * 2, false, false);
float inputData2[] = {1,
real inputData2[] = {1,
2,
3,
4,
......@@ -156,7 +156,7 @@ TEST(Layer, convParaUnified) {
16,
17,
18};
float param2[] = {1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1};
real param2[] = {1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1};
input->setData(inputData2);
......@@ -185,7 +185,7 @@ TEST(Layer, convParaUnified) {
true);
checkMatrixEqual(resultCpu, resultGpu);
float param3[] = {1, 2, 3, 4, 4, 3, 2, 1};
real param3[] = {1, 2, 3, 4, 4, 3, 2, 1};
resultCpu = doOneConvTest(/* imgSize */ 3,
/* output_x */ 2,
......
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