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synced 2025-08-14 04:35:57 +08:00
Fixed existing test.
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c5130dedbe
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@ -25,47 +25,53 @@ using Eigen::SyclDevice;
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using Eigen::Tensor;
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using Eigen::Tensor;
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using Eigen::TensorMap;
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using Eigen::TensorMap;
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namespace std
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namespace std {
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{
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template <typename T> T rsqrt(T x) { return 1 / std::sqrt(x); }
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template<typename T> T rsqrt(T x) { return 1/std::sqrt(x); }
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template <typename T> T square(T x) { return x * x; }
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template<typename T> T square(T x) { return x*x; }
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template <typename T> T cube(T x) { return x * x * x; }
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template<typename T> T cube(T x) { return x*x*x; }
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template <typename T> T inverse(T x) { return 1 / x; }
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template<typename T> T inverse(T x) { return 1/x; }
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}
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}
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#define TEST_UNARY_BUILTINS_FOR_SCALAR(FUNC, SCALAR) \
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#define TEST_UNARY_BUILTINS_FOR_SCALAR(FUNC, SCALAR) \
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{ \
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{ \
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Tensor<SCALAR, 3> in1(tensorRange); \
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Tensor<SCALAR, 3> in(tensorRange); \
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Tensor<SCALAR, 3> out1(tensorRange); \
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Tensor<SCALAR, 3> out(tensorRange); \
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in1 = in1.random(); \
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in = in.random(); \
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SCALAR* gpu_data1 = static_cast<SCALAR*>(sycl_device.allocate(in1.size()*sizeof(SCALAR))); \
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SCALAR *gpu_data = static_cast<SCALAR *>( \
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TensorMap<Tensor<SCALAR, 3>> gpu1(gpu_data1, tensorRange); \
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sycl_device.allocate(in.size() * sizeof(SCALAR))); \
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sycl_device.memcpyHostToDevice(gpu_data1, in1.data(),(in1.size())*sizeof(SCALAR)); \
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SCALAR *gpu_data_out = static_cast<SCALAR *>( \
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gpu1.device(sycl_device) = gpu1.FUNC(); \
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sycl_device.allocate(out.size() * sizeof(SCALAR))); \
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sycl_device.memcpyDeviceToHost(out1.data(), gpu_data1,(out1.size())*sizeof(SCALAR)); \
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TensorMap<Tensor<SCALAR, 3>> gpu(gpu_data, tensorRange); \
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for (int i = 0; i < in1.size(); ++i) { \
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TensorMap<Tensor<SCALAR, 3>> gpu_out(gpu_data_out, tensorRange); \
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VERIFY_IS_APPROX(out1(i), std::FUNC(in1(i))); \
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sycl_device.memcpyHostToDevice(gpu_data, in.data(), \
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(in.size()) * sizeof(SCALAR)); \
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gpu_out.device(sycl_device) = gpu.FUNC(); \
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sycl_device.memcpyDeviceToHost(out.data(), gpu_data_out, \
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(out.size()) * sizeof(SCALAR)); \
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for (int i = 0; i < in.size(); ++i) { \
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VERIFY_IS_APPROX(out(i), std::FUNC(in(i))); \
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} \
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} \
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sycl_device.deallocate(gpu_data1); \
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sycl_device.deallocate(gpu_data); \
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}
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sycl_device.deallocate(gpu_data_out); \
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}
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#define TEST_UNARY_BUILTINS(SCALAR) \
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#define TEST_UNARY_BUILTINS(SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(sqrt, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(sqrt, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(rsqrt, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(rsqrt, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(square, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(square, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(cube, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(cube, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(inverse, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(inverse, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(tanh, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(tanh, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(exp, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(exp, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(log, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(log, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(abs, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(ceil, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(ceil, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(floor, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(floor, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(round, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(round, SCALAR) \
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TEST_UNARY_BUILTINS_FOR_SCALAR(log1p, SCALAR)
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TEST_UNARY_BUILTINS_FOR_SCALAR(log1p, SCALAR)
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static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device){
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static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device) {
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int sizeDim1 = 100;
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int sizeDim1 = 100;
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int sizeDim2 = 100;
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int sizeDim2 = 100;
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int sizeDim3 = 100;
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int sizeDim3 = 100;
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@ -73,8 +79,8 @@ static void test_builtin_unary_sycl(const Eigen::SyclDevice &sycl_device){
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TEST_UNARY_BUILTINS(float)
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TEST_UNARY_BUILTINS(float)
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TEST_UNARY_BUILTINS(double)
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TEST_UNARY_BUILTINS(double)
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}
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}
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void test_cxx11_tensor_builtins_sycl() {
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void test_cxx11_tensor_builtins_sycl() {
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cl::sycl::gpu_selector s;
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cl::sycl::gpu_selector s;
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