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[SYCL] Fix some SYCL tests

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This commit is contained in:
Romain Biessy
2022-08-16 17:37:54 +00:00
committed by Rasmus Munk Larsen
parent 27367017bd
commit 2f7cce2dd5
4 changed files with 7 additions and 100 deletions
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3
unsupported/test/cxx11_tensor_builtins_sycl.cpp
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@@ -86,7 +86,8 @@ void test_unary_builtins_for_scalar(const Eigen::SyclDevice& sycl_device,
{
/* Assignment(out, Operator(out)) */
Tensor<DataType, 3, DataLayout, int64_t> out(tensor_range);
out = out.random() + DataType(0.01);
// Offset with 1 to avoid tiny output (< 1e-6) as they can easily fail.
out = out.random() + DataType(1);
Tensor<DataType, 3, DataLayout, int64_t> reference(out);
DataType *gpu_data_out = static_cast<DataType *>(
sycl_device.allocate(out.size() * sizeof(DataType)));

4
unsupported/test/cxx11_tensor_math_sycl.cpp
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@@ -94,12 +94,8 @@ template<typename DataType, typename dev_Selector> void sycl_computing_test_per_
auto sycl_device = Eigen::SyclDevice(&queueInterface);
test_tanh_sycl<DataType, RowMajor, int64_t>(sycl_device);
test_tanh_sycl<DataType, ColMajor, int64_t>(sycl_device);
// Sigmoid broke for SYCL as of 0b5873 because of missing functions in PacketMath.h.
// Disable the test for now.
#if 0
test_sigmoid_sycl<DataType, RowMajor, int64_t>(sycl_device);
test_sigmoid_sycl<DataType, ColMajor, int64_t>(sycl_device);
#endif
}
EIGEN_DECLARE_TEST(cxx11_tensor_math_sycl) {

18
unsupported/test/cxx11_tensor_random_sycl.cpp
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@@ -37,14 +37,8 @@ static void test_sycl_random_uniform(const Eigen::SyclDevice& sycl_device)
gpu_out.device(sycl_device)=gpu_out.random();
sycl_device.memcpyDeviceToHost(out.data(), d_out,out_bytes);
for(IndexType i=1; i<sizeDim0; i++)
for(IndexType j=1; j<sizeDim1; j++)
{
VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j));
VERIFY_IS_NOT_EQUAL(out(i,j), out(i,j-1));
VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j-1)); }
// For now we just check thes code doesn't crash.
// For now we just check the code doesn't crash.
// TODO: come up with a valid test of randomness
sycl_device.deallocate(d_out);
}
@@ -66,16 +60,8 @@ void test_sycl_random_normal(const Eigen::SyclDevice& sycl_device)
Eigen::internal::NormalRandomGenerator<DataType> gen(true);
gpu_out.device(sycl_device)=gpu_out.random(gen);
sycl_device.memcpyDeviceToHost(out.data(), d_out,out_bytes);
for(IndexType i=1; i<sizeDim0; i++)
for(IndexType j=1; j<sizeDim1; j++)
{
VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j));
VERIFY_IS_NOT_EQUAL(out(i,j), out(i,j-1));
VERIFY_IS_NOT_EQUAL(out(i,j), out(i-1,j-1));
}
// For now we just check thes code doesn't crash.
// For now we just check the code doesn't crash.
// TODO: come up with a valid test of randomness
sycl_device.deallocate(d_out);
}