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Removed dead code from GPU float16 unit test.

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This commit is contained in:
Rohit Santhanam 2021-05-28 20:06:48 +00:00
parent 91cd67f057
commit c8d40a7bf1
1 changed files with 16 additions and 26 deletions
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42
unsupported/test/cxx11_tensor_of_float16_gpu.cu
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@ -329,26 +329,22 @@ void test_gpu_reductions(int size1, int size2, int redux) {
int num_elem = size1*size2;
int result_size = (redux == 1 ? size1 : size2);
float* d_float1 = (float*)gpu_device.allocate(num_elem * sizeof(float));
float* d_float2 = (float*)gpu_device.allocate(num_elem * sizeof(float));
float* d_float = (float*)gpu_device.allocate(num_elem * sizeof(float));
Eigen::half* d_res_half = (Eigen::half*)gpu_device.allocate(result_size * sizeof(Eigen::half));
Eigen::half* d_res_float = (Eigen::half*)gpu_device.allocate(result_size * sizeof(Eigen::half));
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_float1(
d_float1, size1, size2);
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_float2(
d_float2, size1, size2);
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_float(
d_float, size1, size2);
Eigen::TensorMap<Eigen::Tensor<Eigen::half, 1>, Eigen::Aligned> gpu_res_half(
d_res_half, result_size);
Eigen::TensorMap<Eigen::Tensor<Eigen::half, 1>, Eigen::Aligned> gpu_res_float(
d_res_float, result_size);
gpu_float1.device(gpu_device) = gpu_float1.random() * 2.0f;
gpu_float2.device(gpu_device) = gpu_float2.random() * 2.0f;
gpu_float.device(gpu_device) = gpu_float.random() * 2.0f;
Eigen::array<int, 1> redux_dim = {redux};
gpu_res_float.device(gpu_device) = gpu_float1.sum(redux_dim).cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float1.cast<Eigen::half>().sum(redux_dim);
gpu_res_float.device(gpu_device) = gpu_float.sum(redux_dim).cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float.cast<Eigen::half>().sum(redux_dim);
Tensor<Eigen::half, 1> half_prec(result_size);
Tensor<Eigen::half, 1> full_prec(result_size);
@ -361,8 +357,7 @@ void test_gpu_reductions(int size1, int size2, int redux) {
VERIFY_IS_APPROX(full_prec(i), half_prec(i));
}
gpu_device.deallocate(d_float1);
gpu_device.deallocate(d_float2);
gpu_device.deallocate(d_float);
gpu_device.deallocate(d_res_half);
gpu_device.deallocate(d_res_float);
}
@ -386,25 +381,21 @@ void test_gpu_full_reductions() {
int size = 13;
int num_elem = size*size;
float* d_float1 = (float*)gpu_device.allocate(num_elem * sizeof(float));
float* d_float2 = (float*)gpu_device.allocate(num_elem * sizeof(float));
float* d_float = (float*)gpu_device.allocate(num_elem * sizeof(float));
Eigen::half* d_res_half = (Eigen::half*)gpu_device.allocate(1 * sizeof(Eigen::half));
Eigen::half* d_res_float = (Eigen::half*)gpu_device.allocate(1 * sizeof(Eigen::half));
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_float1(
d_float1, size, size);
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_float2(
d_float2, size, size);
Eigen::TensorMap<Eigen::Tensor<float, 2>, Eigen::Aligned> gpu_float(
d_float, size, size);
Eigen::TensorMap<Eigen::Tensor<Eigen::half, 0>, Eigen::Aligned> gpu_res_half(
d_res_half);
Eigen::TensorMap<Eigen::Tensor<Eigen::half, 0>, Eigen::Aligned> gpu_res_float(
d_res_float);
gpu_float1.device(gpu_device) = gpu_float1.random();
gpu_float2.device(gpu_device) = gpu_float2.random();
gpu_float.device(gpu_device) = gpu_float.random();
gpu_res_float.device(gpu_device) = gpu_float1.sum().cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float1.cast<Eigen::half>().sum();
gpu_res_float.device(gpu_device) = gpu_float.sum().cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float.cast<Eigen::half>().sum();
Tensor<Eigen::half, 0> half_prec;
Tensor<Eigen::half, 0> full_prec;
@ -414,16 +405,15 @@ void test_gpu_full_reductions() {
VERIFY_IS_APPROX(full_prec(), half_prec());
gpu_res_float.device(gpu_device) = gpu_float1.maximum().cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float1.cast<Eigen::half>().maximum();
gpu_res_float.device(gpu_device) = gpu_float.maximum().cast<Eigen::half>();
gpu_res_half.device(gpu_device) = gpu_float.cast<Eigen::half>().maximum();
gpu_device.memcpyDeviceToHost(half_prec.data(), d_res_half, sizeof(Eigen::half));
gpu_device.memcpyDeviceToHost(full_prec.data(), d_res_float, sizeof(Eigen::half));
gpu_device.synchronize();
VERIFY_IS_APPROX(full_prec(), half_prec());
gpu_device.deallocate(d_float1);
gpu_device.deallocate(d_float2);
gpu_device.deallocate(d_float);
gpu_device.deallocate(d_res_half);
gpu_device.deallocate(d_res_float);
}