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Fixed the float16 tensor test.

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This commit is contained in:
Benoit Steiner 2016-02-20 07:44:17 +00:00
parent 8eb127022b
commit 1e6fe6f046
1 changed files with 14 additions and 7 deletions
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21
unsupported/test/cxx11_tensor_of_float16_cuda.cu
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@ -83,8 +83,10 @@ void test_cuda_elementwise() {
Tensor<float, 1> full_prec(num_elem);
gpu_device.memcpyDeviceToHost(half_prec.data(), d_res_half, num_elem*sizeof(float));
gpu_device.memcpyDeviceToHost(full_prec.data(), d_res_float, num_elem*sizeof(float));
gpu_device.synchronize();
for (int i = 0; i < num_elem; ++i) {
std::cout << "Checking elemwise " << i << std::endl;
VERIFY_IS_APPROX(full_prec(i), half_prec(i));
}
@ -93,12 +95,13 @@ void test_cuda_elementwise() {
gpu_device.deallocate(d_res_half);
gpu_device.deallocate(d_res_float);
}
/*
void test_cuda_contractions() {
Eigen::CudaStreamDevice stream;
Eigen::GpuDevice gpu_device(&stream);
int rows = 101;
int cols = 101;
int rows = 23;
int cols = 23;
int num_elem = rows*cols;
float* d_float1 = (float*)gpu_device.allocate(num_elem * sizeof(float));
@ -115,8 +118,8 @@ void test_cuda_contractions() {
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_res_float(
d_res_float, rows, cols);
gpu_float1.device(gpu_device) = gpu_float1.random();
gpu_float2.device(gpu_device) = gpu_float2.random();
gpu_float1.device(gpu_device) = gpu_float1.random() - gpu_float1.constant(0.5f);
gpu_float2.device(gpu_device) = gpu_float2.random() - gpu_float1.constant(0.5f);
typedef Tensor<float, 2>::DimensionPair DimPair;
Eigen::array<DimPair, 1> dims(DimPair(1, 0));
@ -127,9 +130,11 @@ void test_cuda_contractions() {
Tensor<float, 2> full_prec(rows, cols);
gpu_device.memcpyDeviceToHost(half_prec.data(), d_res_half, num_elem*sizeof(float));
gpu_device.memcpyDeviceToHost(full_prec.data(), d_res_float, num_elem*sizeof(float));
gpu_device.synchronize();
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < cols; ++j) {
std::cout << "Checking contract " << i << " " << j << std::endl;
VERIFY_IS_APPROX(full_prec(i, j), half_prec(i, j));
}
}
@ -144,7 +149,7 @@ void test_cuda_contractions() {
void test_cuda_reductions() {
Eigen::CudaStreamDevice stream;
Eigen::GpuDevice gpu_device(&stream);
int size = 101;
int size = 13;
int num_elem = size*size;
float* d_float1 = (float*)gpu_device.allocate(num_elem * sizeof(float));
@ -170,10 +175,12 @@ void test_cuda_reductions() {
Tensor<float, 1> half_prec(size);
Tensor<float, 1> full_prec(size);
gpu_device.memcpyDeviceToHost(half_prec.data(), d_res_half, num_elem*sizeof(float));
gpu_device.memcpyDeviceToHost(full_prec.data(), d_res_float, num_elem*sizeof(float));
gpu_device.memcpyDeviceToHost(half_prec.data(), d_res_half, size*sizeof(float));
gpu_device.memcpyDeviceToHost(full_prec.data(), d_res_float, size*sizeof(float));
gpu_device.synchronize();
for (int i = 0; i < size; ++i) {
std::cout << "Checking redux " << i << std::endl;
VERIFY_IS_APPROX(full_prec(i), half_prec(i));
}