Reduction in Composable Kernel (#82)

* Initial adding of generic reduction

* Initial adding of generic reduction ...

* Updates to make compiling done

* clang-format all files

* clang-format some files again

* Renaming in profiler/include/profile_reduce.hpp

* Updates and make BlockWise cases passed

* Updates and make ThreadWise and MultiBlockTwoCall cases passed

* Remove the support for MUL and NORM1 reduceOp from the profiler and the device instances

* Change to replace the dim0_max_vector_size/dim1_max_vector_size template argument in the device reduce classes

* format

* adding pooling

* added max and average pooling

* comment out cout and kernel timing

* Tiny simplification in profiler/reduce_profiler.cpp

* Add example for reduce_blockwise

* Tiny updates

* Change to pass the ElementWiseOp from device layer to kernel

* Fix the vectorDim and vectorSize in Device layer

* Enable vector load on both dim0 and dim1 for Threadwise method

* Tiny updates...

device_operation/include/device_reduce_instance_multiblock_partial_reduce_f32_f64_f32.hpp

+#ifndef DEVICE_REDUCE_INSTANCE_MULTIBLOCK_PARTIAL_REDUCE_F32_F64_F32_HPP
+#define DEVICE_REDUCE_INSTANCE_MULTIBLOCK_PARTIAL_REDUCE_F32_F64_F32_HPP
+
+#include "reduction_enums.hpp"
+#include "reduction_operator_mapping.hpp"
+#include "device_reduce_instance_multiblock_partial_reduce.hpp"
+
+namespace ck {
+namespace tensor_operation {
+namespace device {
+namespace device_reduce_instance {
+
+// clang-format off
+// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims 
+ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, double, float, 7, 0, 0, 4, 0, 1, 2); // for NORM2
+ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, double, float, 7, 0, 0, 4, 0);       //
+ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, double, float, 7, 0, 0, 2, 1);       //
+// clang-format on
+
+} // namespace device_reduce_instance
+} // namespace device
+} // namespace tensor_operation
+
+} // namespace ck
+
+#endif