Overhaul to Reducton and its dependants (#237)

* Tiny fix in dynamic_buffer.hpp to support vectorized AtomicAdd for double type

* Update to host layer and host reduction

* Merge and remove reduction kernels

* Merge and remove reduction device interfaces and update pooling device interface

* Merge and remove useless reduction device instances

* Update to reduction profiler and reduction ctests

* Update to reduction and pooling examples and add one reduction example

* Change to reduction examples to let them testable by ctest

* Add explicit pass checking for reduction and pooling examples

* Explicit assignment of tensor shapes in example reduce_blockwise_two_call

* Use atomic_add to repace atomicAdd and add atomic_add for double type

* Add reduce ctest support for double data type

* Replace to_int_vector() by using c++ std::vector::assign()

* Keep DeviceReduceThreadWise separated from DeviceReduceBlockWise

* Merge DeviceReduceBlockWise and DeviceReduceMultiBlockAtomicAdd into DeviceReduceMultiBlock

* Add GetAtomicOperationZeroValue() support for AtomicMax

* Tiny change to reduce example README.md

* Fix some tiny issues due to branch merging

* Revoke previous change in dynamic_buffer.hpp and add atomic_add for double2_t

* Add reduce multiblock_atomic_add instances for fp64 to verify vectorized atomic_add on fp64

* Renaming

* Clean the header includings in device_reduce instances header files

include/ck/utility/reduction_operator.hpp

@@ -26,7 +26,8 @@
 #ifndef CK_REDUCTION_OPERATOR_HPP
 #define CK_REDUCTION_OPERATOR_HPP
 
-#include "common_header.hpp"
+#include "config.hpp"
+#include "data_type.hpp"
 
 namespace ck {
 
@@ -41,12 +42,10 @@ namespace reduce {
 //                    when operated against them, and the concept is similar to zero vector in
 //                    vector space
 //                    (http://pages.cs.wisc.edu/~matthewb/pages/notes/pdf/linearalgebra/VectorSpaces.pdf).
-// 2) indexable -- boolean value indicating whether indices of the operated elements could be
-// recorded. Usually, Min/Max operator could
-//                 need to record the indices of elements. For operator like Add/Mul, no need to
-//                 record the indices.
-// 3) operator() -- the first argument of the operator must be both an input & output, and the
-// corresponding variable usually stores
+// 2) IsCompatibleInMemoryDataOperation() -- return true if the reduction task corresponding to this
+// operator can use the InMemoryDataOperation to finalize, or else it return false 3) operator() --
+// the first argument of the operator must be both an input & output, and the corresponding variable
+// usually stores
 //                  the accumulated result of many operator() calls; the second argument is only an
 //                  input. For indexable binary
 //                  operator, the second version of operator() has third argument (which is an
@@ -62,6 +61,13 @@ struct Add
 
     __host__ __device__ static constexpr T GetReductionZeroVal() { return static_cast<T>(0.0f); };
 
+    __device__ static constexpr bool
+    IsCompatibleInMemoryDataOperation(InMemoryDataOperationEnum operation)
+    {
+        return operation == InMemoryDataOperationEnum::AtomicAdd ||
+               operation == InMemoryDataOperationEnum::Set;
+    };
+
     __host__ __device__ inline constexpr void operator()(T& a, T b) const { a = a + b; }
 };
 
@@ -72,6 +78,12 @@ struct Mul
 
     __host__ __device__ static constexpr T GetReductionZeroVal() { return static_cast<T>(1.0f); };
 
+    __device__ static constexpr bool
+    IsCompatibleInMemoryDataOperation(InMemoryDataOperationEnum operation)
+    {
+        return operation == InMemoryDataOperationEnum::Set;
+    };
+
     __host__ __device__ inline constexpr void operator()(T& a, T b) const { a = a * b; }
 };
 
@@ -85,6 +97,13 @@ struct Max
         return NumericLimits<T>::Lowest();
     };
 
+    __device__ static constexpr bool
+    IsCompatibleInMemoryDataOperation(InMemoryDataOperationEnum operation)
+    {
+        // ToChange: atomic_max to be added
+        return operation == InMemoryDataOperationEnum::Set;
+    };
+
     __host__ __device__ inline constexpr void operator()(T& a, T b) const
     {
         if(a < b)
@@ -111,6 +130,13 @@ struct Min
         return NumericLimits<T>::Max();
     };
 
+    __device__ static constexpr bool
+    IsCompatibleInMemoryDataOperation(InMemoryDataOperationEnum operation)
+    {
+        // ToChange: atomic_min to be added
+        return operation == InMemoryDataOperationEnum::Set;
+    };
+
     __host__ __device__ inline constexpr void operator()(T& a, T b) const
     {
         if(a > b)
@@ -134,6 +160,13 @@ struct AMax
 
     __host__ __device__ static constexpr T GetReductionZeroVal() { return static_cast<T>(0.0f); };
 
+    __device__ static constexpr bool
+    IsCompatibleInMemoryDataOperation(InMemoryDataOperationEnum operation)
+    {
+        // ToChange: atomic_max to be added
+        return operation == InMemoryDataOperationEnum::Set;
+    };
+
     __host__ __device__ inline constexpr void operator()(T& a, T b) const
     {
         if(a < b)
@@ -150,6 +183,17 @@ struct AMax
     }
 };
 
+template <typename T>
+T GetReductionZeroValueForInMemoryDataOperation(InMemoryDataOperationEnum operation)
+{
+    T result = ck::type_convert<T>(0.0f);
+
+    if(operation == InMemoryDataOperationEnum::AtomicMax)
+        result = ck::NumericLimits<T>::Lowest();
+
+    return (result);
+};
+
 }; // end of namespace reduce
 
 } // end of namespace ck

library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_b16_f32_b16.hpp

 #ifndef DEVICE_REDUCE_INSTANCE_BLOCKWISE_B16_F32_B16_HPP
 #define DEVICE_REDUCE_INSTANCE_BLOCKWISE_B16_F32_B16_HPP
 
-#include "reduction_enums.hpp"
-#include "reduction_operator_mapping.hpp"
+#include "data_type.hpp"
 #include "device_reduce_instance_blockwise.hpp"
 
 namespace ck {