Add support to permute multiple elements together

example/36_permute/CMakeLists.txt

@@ -2,8 +2,8 @@ add_custom_target(example_permute)
 
 add_example_executable(example_permute_1xHxW_fp32 permute_1xHxW_fp32.cpp)
 add_example_executable(example_permute_NxHxW_fp32 permute_NxHxW_fp32.cpp)
-add_example_executable(example_permute_HxWx4_fp16 permute_HxWx4_fp16.cpp)
+add_example_executable(example_permute_HxWx2_fp16 permute_HxWx2_fp16.cpp)
 
 add_dependencies(example_permute example_permute_1xHxW_fp32)
 add_dependencies(example_permute example_permute_NxHxW_fp32)
-add_dependencies(example_permute example_permute_HxWx4_fp16)
+add_dependencies(example_permute example_permute_HxWx2_fp16)

example/36_permute/common.hpp

@@ -6,6 +6,7 @@
 #include <cassert>
 #include <cstddef>
 #include <cstdlib>
+#include <cstring>
 #include <iostream>
 #include <iterator>
 #include <numeric>
@@ -33,7 +34,9 @@ struct ExecutionConfig final
 
 struct Problem final
 {
-    using Shape = std::array<std::size_t, 3>;
+    static constexpr std::size_t NumDim = 3;
+
+    using Shape = std::array<std::size_t, NumDim>;
     using Axes  = Shape;
 
     Problem() = delete;
@@ -249,7 +252,7 @@ is_valid_axes(const Axes& axes)
 inline bool parse_cmd_args(int argc, char* argv[], ExecutionConfig& config, Problem& problem)
 {
     constexpr int num_execution_config_args = 2;
-    constexpr int num_problem_args          = 3 + 3;
+    constexpr int num_problem_args          = 2 * Problem::NumDim;
 
     if(!(num_problem_args == size(problem.shape) + size(problem.axes)))
     {
@@ -412,7 +415,7 @@ host_permute(const Tensor<Src>& src, const Axes& axes, Functor functor, Tensor<D
     }
 
     using std::size;
-    if(!(is_valid_axes(axes) && size(axes) == 3))
+    if(!is_valid_axes(axes))
     {
         return false;
     }
@@ -420,7 +423,7 @@ host_permute(const Tensor<Src>& src, const Axes& axes, Functor functor, Tensor<D
     static_assert(detail::is_sized_range_v<ck::remove_cvref_t<decltype(shape)>> &&
                   detail::is_sized_range_v<ck::remove_cvref_t<decltype(transposed_shape)>>);
 
-    if(!(size(shape) == 3 && size(transposed_shape) == 3))
+    if(size(shape) != size(transposed_shape))
     {
         return false;
     }
@@ -437,18 +440,34 @@ host_permute(const Tensor<Src>& src, const Axes& axes, Functor functor, Tensor<D
         }
     }
 
-    std::array<std::size_t, 3> indices{};
+    std::vector<std::size_t> indices(size(shape), 0);
     if(!is_valid_indices(shape, indices))
     {
         return false;
     }
 
-    do
+    if(size(shape) == 3)
+    {
+        do
+        {
+            Dest output = 0;
+            functor(output, src(indices[0], indices[1], indices[2]));
+            dest(indices[axes[0]], indices[axes[1]], indices[axes[2]]) = output;
+        } while(advance_indices(shape, indices));
+    }
+    else if(size(shape) == 4)
+    {
+        do
+        {
+            Dest output = 0;
+            functor(output, src(indices[0], indices[1], indices[2], indices[3]));
+            dest(indices[axes[0]], indices[axes[1]], indices[axes[2]], indices[axes[3]]) = output;
+        } while(advance_indices(shape, indices));
+    }
+    else
     {
-        Dest output = 0;
-        functor(output, src(indices[0], indices[1], indices[2]));
-        dest(indices[axes[0]], indices[axes[1]], indices[axes[2]]) = output;
-    } while(advance_indices(shape, indices));
+        return false;
+    }
 
     return true;
 }

example/36_permute/permute_HxWx4_fp16.cpp → example/36_permute/permute_HxWx2_fp16.cpp

@@ -3,8 +3,8 @@
 
 #include "common.hpp"
 
-using ADataType = F64;
-using BDataType = F64;
+using ADataType = F32;
+using BDataType = F32;
 
 // clang-format off
 using DevicePermuteInstance = ck::tensor_operation::device::DevicePermute
@@ -15,10 +15,7 @@ using DevicePermuteInstance = ck::tensor_operation::device::DevicePermute
          < ADataType, BDataType, PassThrough,      3,   256,   128,   128,         0,         S<1, 16, 16>,                S<0, 1, 2>,         2,         1,               1,               1>;
 // clang-format on
 
-#define NUM_ELEMS_IN_BUNDLE 4
+#define NUM_ELEMS_IN_BUNDLE 2
 #include "run_permute_example.inc"
 
-int main(int argc, char* argv[])
-{
-    return !run_permute_example(argc, argv, {1, 160, 80}, {0, 2, 1});
-}
+int main(int argc, char* argv[]) { return !run_permute_example(argc, argv, {1, 3, 4}, {0, 2, 1}); }

example/36_permute/run_permute_example.inc

@@ -9,6 +9,10 @@
 
 bool run_permute(const ExecutionConfig& config, const Problem& problem)
 {
+#if 1 < NUM_ELEMS_IN_BUNDLE
+    static_assert(std::is_same_v<ADataType, BDataType>);
+#endif
+
     using std::begin, std::end;
 
     const auto& shape = problem.shape;
@@ -61,13 +65,53 @@ bool run_permute(const ExecutionConfig& config, const Problem& problem)
 
     if(config.do_verification)
     {
-        Tensor<BDataType> host_b(transposed_shape);
-        host_permute(a, problem.axes, PassThrough{}, host_b);
-
         b_device_buf.FromDevice(data(b.mData));
 
+#if NUM_ELEMS_IN_BUNDLE == 1
+        Tensor<BDataType> host_b(transposed_shape);
+        if(!host_permute(a, problem.axes, PassThrough{}, host_b))
+        {
+            return false;
+        }
+
         return ck::utils::check_err(
             b.mData, host_b.mData, "Error: incorrect results in output tensor", 1e-10, 1e-10);
+#else
+        // extend tensor shape from [N, H, W] to [N, H, W, NUM_ELEMS_IN_BUNDLE]
+        std::array<std::size_t, Problem::NumDim + 1> extended_shape;
+        std::copy(begin(shape), end(shape), begin(extended_shape));
+        extended_shape.back() = NUM_ELEMS_IN_BUNDLE;
+
+        using DataType = detail::get_bundled_t<ADataType, NUM_ELEMS_IN_BUNDLE>;
+
+        Tensor<DataType> extended_a(extended_shape);
+        std::memcpy(data(extended_a.mData),
+                    data(a.mData),
+                    sizeof(ADataType) * a.mDesc.GetElementSpaceSize());
+
+        std::array<std::size_t, Problem::NumDim + 1> extended_axes;
+        std::copy(begin(problem.axes), end(problem.axes), begin(extended_axes));
+        extended_axes.back() = Problem::NumDim;
+
+        std::array<std::size_t, Problem::NumDim + 1> transposed_extended_shape;
+        transpose_shape(extended_shape, extended_axes, begin(transposed_extended_shape));
+
+        Tensor<DataType> extended_host_b(transposed_extended_shape);
+        if(!host_permute(extended_a, extended_axes, PassThrough{}, extended_host_b))
+        {
+            return false;
+        }
+
+        std::vector<DataType> extended_b(reinterpret_cast<DataType*>(data(b.mData)),
+                                         reinterpret_cast<DataType*>(data(b.mData)) +
+                                             b.mDesc.GetElementSpaceSize() * NUM_ELEMS_IN_BUNDLE);
+
+        return ck::utils::check_err(extended_b,
+                                    extended_host_b.mData,
+                                    "Error: incorrect results in output tensor",
+                                    1e-10,
+                                    1e-10);
+#endif
     }
 
     return true;