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change float to real in two tests #967

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Dec 21, 2016
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12 changes: 6 additions & 6 deletions paddle/gserver/tests/test_ConvTrans.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -206,8 +206,8 @@ TEST(Layer, convTransLayerFwd2) {
/* filter_size */ 5,
result);

float 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};
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,
/* output_x */ 2,
Expand All @@ -216,8 +216,8 @@ TEST(Layer, convTransLayerFwd2) {
/* filter_size */ 4,
result);

float 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};
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,
/* output_x */ 2,
Expand All @@ -226,8 +226,8 @@ TEST(Layer, convTransLayerFwd2) {
/* filter_size */ 5,
result);

float 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};
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,
/* output_x */ 2,
Expand Down
29 changes: 6 additions & 23 deletions paddle/gserver/tests/test_ConvUnify.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -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);

Expand Down Expand Up @@ -137,26 +137,9 @@ TEST(Layer, convParaUnified) {
checkMatrixEqual(resultCpu, resultGpu);

input = Matrix::create(1, 3 * 3 * 2, false, false);
float inputData2[] = {1,
2,
3,
4,
5,
6,
7,
8,
9,

10,
11,
12,
13,
14,
15,
16,
17,
18};
float param2[] = {1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1};
real inputData2[] = {
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18};
real param2[] = {1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1};

input->setData(inputData2);

Expand Down Expand Up @@ -185,7 +168,7 @@ 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,
Expand Down