diff --git a/paddle/gserver/tests/test_ConvTrans.cpp b/paddle/gserver/tests/test_ConvTrans.cpp index 99202c2d5702a9569c3a9a92897a8a0e38b8e2a6..dd3378304b433c135881310eb89273b6bf492af2 100644 --- a/paddle/gserver/tests/test_ConvTrans.cpp +++ b/paddle/gserver/tests/test_ConvTrans.cpp @@ -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, @@ -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, @@ -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, diff --git a/paddle/gserver/tests/test_ConvUnify.cpp b/paddle/gserver/tests/test_ConvUnify.cpp index 2ab18f886848d198b9063c7559790497ce131efe..072a886a198f3fbbe29829af648c1408f648b607 100644 --- a/paddle/gserver/tests/test_ConvUnify.cpp +++ b/paddle/gserver/tests/test_ConvUnify.cpp @@ -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); @@ -137,26 +137,26 @@ 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); @@ -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,