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Clang-format tests, examples, libraries, benchmarks, etc.

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This commit is contained in:
Antonio Sánchez
2023-12-05 21:22:55 +00:00
committed by Rasmus Munk Larsen
parent 3252ecc7a4
commit 46e9cdb7fe
876 changed files with 33453 additions and 37795 deletions
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20
unsupported/test/cxx11_tensor_cast_float16_gpu.cu
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@@ -30,22 +30,19 @@ void test_gpu_conversion() {
Eigen::half* d_half = (Eigen::half*)gpu_device.allocate(num_elem * sizeof(Eigen::half));
float* d_conv = (float*)gpu_device.allocate(num_elem * sizeof(float));
Eigen::TensorMap<Eigen::Tensor<float, 1>, Eigen::Aligned> gpu_float(
d_float, num_elem);
Eigen::TensorMap<Eigen::Tensor<Eigen::half, 1>, Eigen::Aligned> gpu_half(
d_half, num_elem);
Eigen::TensorMap<Eigen::Tensor<float, 1>, Eigen::Aligned> gpu_conv(
d_conv, num_elem);
Eigen::TensorMap<Eigen::Tensor<float, 1>, Eigen::Aligned> gpu_float(d_float, num_elem);
Eigen::TensorMap<Eigen::Tensor<Eigen::half, 1>, Eigen::Aligned> gpu_half(d_half, num_elem);
Eigen::TensorMap<Eigen::Tensor<float, 1>, Eigen::Aligned> gpu_conv(d_conv, num_elem);
gpu_device.memcpyHostToDevice(d_float, floats.data(), num_elem*sizeof(float));
gpu_device.memcpyHostToDevice(d_float, floats.data(), num_elem * sizeof(float));
gpu_half.device(gpu_device) = gpu_float.cast<Eigen::half>();
gpu_conv.device(gpu_device) = gpu_half.cast<float>();
Tensor<float, 1> initial(num_elem);
Tensor<float, 1> final(num_elem);
gpu_device.memcpyDeviceToHost(initial.data(), d_float, num_elem*sizeof(float));
gpu_device.memcpyDeviceToHost(final.data(), d_conv, num_elem*sizeof(float));
gpu_device.memcpyDeviceToHost(initial.data(), d_float, num_elem * sizeof(float));
gpu_device.memcpyDeviceToHost(final.data(), d_conv, num_elem * sizeof(float));
gpu_device.synchronize();
for (int i = 0; i < num_elem; ++i) {
@@ -57,7 +54,6 @@ void test_gpu_conversion() {
gpu_device.deallocate(d_conv);
}
void test_fallback_conversion() {
int num_elem = 101;
Tensor<float, 1> floats(num_elem);
@@ -71,9 +67,7 @@ void test_fallback_conversion() {
}
}
EIGEN_DECLARE_TEST(cxx11_tensor_cast_float16_gpu)
{
EIGEN_DECLARE_TEST(cxx11_tensor_cast_float16_gpu) {
CALL_SUBTEST(test_gpu_conversion());
CALL_SUBTEST(test_fallback_conversion());
}