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Unverified Commit 827301d9 authored by Qianfeng's avatar Qianfeng Committed by GitHub
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Pr82 followup (#115) 

* Use thread cluster descriptor and explicit M_K 2d descriptor to simply Blockwise Reduction

* Change by replacing ReduceDims by NumReduceDims as Device Reduce interface template parameter

* Rename the folder name for the pool2d and reduce examples

* Update to reduction test scripts

* Add Readme for pool2d_fwd and reduce_blockwise examples

* Tiny fix in reduce profiler and tiny update in reduce testing scripts

* Tiny fix in testing script profile_reduce_no_index.sh

* Tiny change in script/profile_reduce_with_index.sh

* Renaming and refining in Reduction profiler/device layer/examples

* Renaming and refining in Reduction profiler/device layer/examples

* Renaming all NumReduceDims to NumReduceDim
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library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_f64_f64_f64.hpp
View file @ 827301d9
...@@ -11,34 +11,34 @@ namespace device { ...@@ -11,34 +11,34 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 3); // for ADD
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 0); ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 2, 1); ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 3); // for AVG
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 3); // for NORM2
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 3); // for MIN
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 3); // for MAX
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 3); // for AMAX
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 3); // for MIN
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 3); // for MAX
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 2, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 3); // for AMAX
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 0); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 1);
ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 2, 1); // ADD_BLOCKWISE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_second_call.hpp
View file @ 827301d9
...@@ -45,7 +45,7 @@ template <typename InDataType, ...@@ -45,7 +45,7 @@ template <typename InDataType,
typename AccDataType, typename AccDataType,
typename OutDataType, typename OutDataType,
int Rank, int Rank,
typename ReduceDims, int NumReduceDim,
ReduceTensorOp_t ReduceOpId, ReduceTensorOp_t ReduceOpId,
NanPropagation_t NanOpt, NanPropagation_t NanOpt,
ReduceTensorIndices_t IndicesOpt> ReduceTensorIndices_t IndicesOpt>
...@@ -86,7 +86,7 @@ void add_device_reduce_instance_blockwise_second_call( ...@@ -86,7 +86,7 @@ void add_device_reduce_instance_blockwise_second_call(
AccDataType, AccDataType,
OutDataType, OutDataType,
Rank, Rank,
ReduceDims, NumReduceDim,
ReduceOperation, ReduceOperation,
InElementwiseOperation, InElementwiseOperation,
AccElementwiseOperation, AccElementwiseOperation,
...@@ -107,12 +107,12 @@ void add_device_reduce_instance_blockwise_second_call( ...@@ -107,12 +107,12 @@ void add_device_reduce_instance_blockwise_second_call(
}; };
#define ADD_BLOCKWISE_SECOND_CALL_INST_BY_TYPE( \ #define ADD_BLOCKWISE_SECOND_CALL_INST_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
template void add_device_reduce_instance_blockwise_second_call<inT, \ template void add_device_reduce_instance_blockwise_second_call<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -120,7 +120,7 @@ void add_device_reduce_instance_blockwise_second_call( ...@@ -120,7 +120,7 @@ void add_device_reduce_instance_blockwise_second_call(
device_op_instances) device_op_instances)
#define ADD_BLOCKWISE_SECOND_CALL_INST_BY_ID( \ #define ADD_BLOCKWISE_SECOND_CALL_INST_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_BLOCKWISE_SECOND_CALL_INST_BY_TYPE(inT, \ ADD_BLOCKWISE_SECOND_CALL_INST_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -128,15 +128,15 @@ void add_device_reduce_instance_blockwise_second_call( ...@@ -128,15 +128,15 @@ void add_device_reduce_instance_blockwise_second_call(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
#define ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_TYPE( \ #define ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
extern template void add_device_reduce_instance_blockwise_second_call<inT, \ extern template void add_device_reduce_instance_blockwise_second_call<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -148,7 +148,7 @@ void add_device_reduce_instance_blockwise_second_call( ...@@ -148,7 +148,7 @@ void add_device_reduce_instance_blockwise_second_call(
device_op_instances) device_op_instances)
#define ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID( \ #define ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_TYPE(inT, \ ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -156,7 +156,7 @@ void add_device_reduce_instance_blockwise_second_call( ...@@ -156,7 +156,7 @@ void add_device_reduce_instance_blockwise_second_call(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
} // namespace device_reduce_instance } // namespace device_reduce_instance
} // namespace device } // namespace device
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_second_call_f16_f16_f16.hpp
View file @ 827301d9
...@@ -11,25 +11,25 @@ namespace device { ...@@ -11,25 +11,25 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 3); // for MIN
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 3); // for MAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 3); // for AMAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 3); // for MIN
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 3); // for MAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 3); // for AMAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_second_call_f32_f32_f16.hpp
View file @ 827301d9
...@@ -11,16 +11,16 @@ namespace device { ...@@ -11,16 +11,16 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 0, 0, 0, 4, 3); // for ADD
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 0, 0, 0, 4, 0); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 0, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 0, 0, 0, 2, 1); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 0, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 5, 0, 0, 4, 3); // for AVG
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 5, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 5, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 5, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 5, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 7, 0, 0, 4, 3); // for NORM2
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 7, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 7, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 7, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, half_t, 7, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_second_call_f32_f32_f32.hpp
View file @ 827301d9
...@@ -11,34 +11,34 @@ namespace device { ...@@ -11,34 +11,34 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 3); // for ADD
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 0); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 0, 0, 0, 2, 1); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 0, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 3); // for AVG
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 5, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 5, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 3); // for NORM2
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 7, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 7, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 3); // for MIN
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 3); // for MAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 3); // for AMAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 3); // for MIN
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 2, 0, 1, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 3); // for MAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 3, 0, 1, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 3); // for AMAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(float, float, float, 4, 0, 1, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_second_call_f64_f64_f32.hpp
View file @ 827301d9
...@@ -11,16 +11,16 @@ namespace device { ...@@ -11,16 +11,16 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 0, 0, 0, 4, 3); // for ADD
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 0, 0, 0, 4, 0); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 0, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 0, 0, 0, 2, 1); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 0, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 5, 0, 0, 4, 3); // for AVG
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 5, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 5, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 5, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 5, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 7, 0, 0, 4, 3); // for NORM2
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 7, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 7, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 7, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, float, 7, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_blockwise_second_call_f64_f64_f64.hpp
View file @ 827301d9
...@@ -11,34 +11,34 @@ namespace device { ...@@ -11,34 +11,34 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 3); // for ADD
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 0); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 0, 0, 0, 2, 1); ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 0, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 3); // for AVG
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 5, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 5, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 3); // for NORM2
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 7, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 7, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 3); // for MIN
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 3); // for MAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 3); // for AMAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 0, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 0, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 3); // for MIN
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 2, 0, 1, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 3); // for MAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 3, 0, 1, 2, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 3); // for AMAX
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 0); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 1);
ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 1, 2, 1); // ADD_BLOCKWISE_SECOND_CALL_INST_REF_BY_ID(double, double, double, 4, 0, 1, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add.hpp
View file @ 827301d9
...@@ -59,7 +59,7 @@ template <typename InDataType, ...@@ -59,7 +59,7 @@ template <typename InDataType,
typename AccDataType, typename AccDataType,
typename OutDataType, typename OutDataType,
int Rank, int Rank,
typename ReduceDims, int NumReduceDim,
ReduceTensorOp_t ReduceOpId, ReduceTensorOp_t ReduceOpId,
NanPropagation_t NanOpt, NanPropagation_t NanOpt,
ReduceTensorIndices_t IndicesOpt> ReduceTensorIndices_t IndicesOpt>
...@@ -110,7 +110,7 @@ void add_device_reduce_instance_multiblock_atomic_add( ...@@ -110,7 +110,7 @@ void add_device_reduce_instance_multiblock_atomic_add(
AccDataType, AccDataType,
OutDataType, OutDataType,
Rank, Rank,
ReduceDims, NumReduceDim,
ReduceOperation, ReduceOperation,
InElementwiseOperation, InElementwiseOperation,
AccElementwiseOperation, AccElementwiseOperation,
...@@ -133,12 +133,12 @@ void add_device_reduce_instance_multiblock_atomic_add( ...@@ -133,12 +133,12 @@ void add_device_reduce_instance_multiblock_atomic_add(
}; };
#define ADD_MULTIBLOCK_ATOMIC_ADD_INST_BY_TYPE( \ #define ADD_MULTIBLOCK_ATOMIC_ADD_INST_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
template void add_device_reduce_instance_multiblock_atomic_add<inT, \ template void add_device_reduce_instance_multiblock_atomic_add<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -146,7 +146,7 @@ void add_device_reduce_instance_multiblock_atomic_add( ...@@ -146,7 +146,7 @@ void add_device_reduce_instance_multiblock_atomic_add(
device_op_instances) device_op_instances)
#define ADD_MULTIBLOCK_ATOMIC_ADD_INST_BY_ID( \ #define ADD_MULTIBLOCK_ATOMIC_ADD_INST_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_MULTIBLOCK_ATOMIC_ADD_INST_BY_TYPE(inT, \ ADD_MULTIBLOCK_ATOMIC_ADD_INST_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -154,15 +154,15 @@ void add_device_reduce_instance_multiblock_atomic_add( ...@@ -154,15 +154,15 @@ void add_device_reduce_instance_multiblock_atomic_add(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
#define ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_TYPE( \ #define ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
extern template void add_device_reduce_instance_multiblock_atomic_add<inT, \ extern template void add_device_reduce_instance_multiblock_atomic_add<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -173,7 +173,7 @@ void add_device_reduce_instance_multiblock_atomic_add( ...@@ -173,7 +173,7 @@ void add_device_reduce_instance_multiblock_atomic_add(
device_op_instances) device_op_instances)
#define ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID( \ #define ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_TYPE(inT, \ ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -181,7 +181,7 @@ void add_device_reduce_instance_multiblock_atomic_add( ...@@ -181,7 +181,7 @@ void add_device_reduce_instance_multiblock_atomic_add(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
} // namespace device_reduce_instance } // namespace device_reduce_instance
} // namespace device } // namespace device
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f16_f32_f32.hpp
View file @ 827301d9
...@@ -11,13 +11,13 @@ namespace device { ...@@ -11,13 +11,13 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 0, 0, 0, 4, 3); // for ADD
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 0, 0, 0, 4, 0); ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 0, 0, 0, 4, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 0, 0, 0, 2, 1); ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 0, 0, 0, 2, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 5, 0, 0, 4, 3); // for AVG
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 5, 0, 0, 4, 0); // ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 5, 0, 0, 4, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 5, 0, 0, 2, 1); // ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(half_t, float, float, 5, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f32_f32.hpp
View file @ 827301d9
...@@ -11,13 +11,13 @@ namespace device { ...@@ -11,13 +11,13 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 3); // for ADD
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 0); ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 0, 0, 0, 4, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 0, 0, 0, 2, 1); ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 0, 0, 0, 2, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 3); // for AVG
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 0); // ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 5, 0, 0, 4, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 5, 0, 0, 2, 1); // ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, float, float, 5, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_atomic_add_f32_f64_f32.hpp
View file @ 827301d9
...@@ -11,13 +11,13 @@ namespace device { ...@@ -11,13 +11,13 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 0, 0, 0, 4, 3); // for ADD
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 0, 0, 0, 4, 0); ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 0, 0, 0, 4, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 0, 0, 0, 2, 1); ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 0, 0, 0, 2, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 5, 0, 0, 4, 3); // for AVG
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 5, 0, 0, 4, 0); // ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 5, 0, 0, 4, 1);
ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 5, 0, 0, 2, 1); // ADD_MULTIBLOCK_ATOMIC_ADD_INST_REF_BY_ID(float, double, float, 5, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_partial_reduce.hpp
View file @ 827301d9
...@@ -55,7 +55,7 @@ template <typename InDataType, ...@@ -55,7 +55,7 @@ template <typename InDataType,
typename AccDataType, typename AccDataType,
typename OutDataType, typename OutDataType,
int Rank, int Rank,
typename ReduceDims, int NumReduceDim,
ReduceTensorOp_t ReduceOpId, ReduceTensorOp_t ReduceOpId,
NanPropagation_t NanOpt, NanPropagation_t NanOpt,
ReduceTensorIndices_t IndicesOpt> ReduceTensorIndices_t IndicesOpt>
...@@ -93,7 +93,7 @@ void add_device_reduce_instance_multiblock_partial_reduce( ...@@ -93,7 +93,7 @@ void add_device_reduce_instance_multiblock_partial_reduce(
AccDataType, AccDataType,
OutDataType, OutDataType,
Rank, Rank,
ReduceDims, NumReduceDim,
ReduceOperation, ReduceOperation,
InElementwiseOperation, InElementwiseOperation,
AccElementwiseOperation, AccElementwiseOperation,
...@@ -114,12 +114,12 @@ void add_device_reduce_instance_multiblock_partial_reduce( ...@@ -114,12 +114,12 @@ void add_device_reduce_instance_multiblock_partial_reduce(
}; };
#define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_BY_TYPE( \ #define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
template void add_device_reduce_instance_multiblock_partial_reduce<inT, \ template void add_device_reduce_instance_multiblock_partial_reduce<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -127,7 +127,7 @@ void add_device_reduce_instance_multiblock_partial_reduce( ...@@ -127,7 +127,7 @@ void add_device_reduce_instance_multiblock_partial_reduce(
device_op_instances) device_op_instances)
#define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_BY_ID( \ #define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_BY_TYPE(inT, \ ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -135,16 +135,15 @@ void add_device_reduce_instance_multiblock_partial_reduce( ...@@ -135,16 +135,15 @@ void add_device_reduce_instance_multiblock_partial_reduce(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
#define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_TYPE( \ #define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
extern template void \ extern template void add_device_reduce_instance_multiblock_partial_reduce<inT, \
add_device_reduce_instance_multiblock_partial_reduce<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -156,7 +155,7 @@ void add_device_reduce_instance_multiblock_partial_reduce( ...@@ -156,7 +155,7 @@ void add_device_reduce_instance_multiblock_partial_reduce(
device_op_instances) device_op_instances)
#define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID( \ #define ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_TYPE(inT, \ ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -164,7 +163,7 @@ void add_device_reduce_instance_multiblock_partial_reduce( ...@@ -164,7 +163,7 @@ void add_device_reduce_instance_multiblock_partial_reduce(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
} // namespace device_reduce_instance } // namespace device_reduce_instance
} // namespace device } // namespace device
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_partial_reduce_f16_f16_f16.hpp
View file @ 827301d9
...@@ -11,25 +11,25 @@ namespace device { ...@@ -11,25 +11,25 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 3); // for MIN
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 3); // for MAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 3); // for AMAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 3); // for MIN
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 3); // for MAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 3); // for AMAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_partial_reduce_f16_f32_f16.hpp
View file @ 827301d9
...@@ -11,16 +11,16 @@ namespace device { ...@@ -11,16 +11,16 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 3); // for ADD
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 0); ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 2, 1); ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 3); // for AVG
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 3); // for NORM2
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_partial_reduce_f32_f32_f32.hpp
View file @ 827301d9
...@@ -11,29 +11,29 @@ namespace device { ...@@ -11,29 +11,29 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 3); // for MIN
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 3); // for MAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 3); // for AMAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 3); // for MIN
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 2, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 3); // for MAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 3, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 3); // for AMAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 4, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 3); // for NORM2
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 7, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 7, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, float, float, 7, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_partial_reduce_f32_f64_f32.hpp
View file @ 827301d9
...@@ -11,10 +11,10 @@ namespace device { ...@@ -11,10 +11,10 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
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, 3); // 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, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, double, float, 7, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(float, double, float, 7, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_multiblock_partial_reduce_f64_f64_f64.hpp
View file @ 827301d9
...@@ -11,37 +11,37 @@ namespace device { ...@@ -11,37 +11,37 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 3); // for MIN
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 3); // for MAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 3); // for AMAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 3); // for MIN
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 2, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 3); // for MAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 3, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 3); // for AMAX
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 4, 0, 1, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 3); // for NORM2
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 7, 0, 0, 2, 1);
// Will be moved to use MultiBlockAtomicAdd // Will be moved to use MultiBlockAtomicAdd
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 3); // for ADD
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 0, 0, 0, 2, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 3); // for AVG
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 0); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 4, 1);
ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 2, 1); // ADD_MULTIBLOCK_PARTIAL_REDUCE_INST_REF_BY_ID(double, double, double, 5, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise.hpp
View file @ 827301d9
...@@ -57,7 +57,7 @@ template <typename InDataType, ...@@ -57,7 +57,7 @@ template <typename InDataType,
typename AccDataType, typename AccDataType,
typename OutDataType, typename OutDataType,
int Rank, int Rank,
typename ReduceDims, int NumReduceDim,
ReduceTensorOp_t ReduceOpId, ReduceTensorOp_t ReduceOpId,
NanPropagation_t NanOpt, NanPropagation_t NanOpt,
ReduceTensorIndices_t IndicesOpt> ReduceTensorIndices_t IndicesOpt>
...@@ -89,7 +89,7 @@ void add_device_reduce_instance_threadwise( ...@@ -89,7 +89,7 @@ void add_device_reduce_instance_threadwise(
AccDataType, AccDataType,
OutDataType, OutDataType,
Rank, Rank,
ReduceDims, NumReduceDim,
ReduceOperation, ReduceOperation,
InElementwiseOperation, InElementwiseOperation,
AccElementwiseOperation, AccElementwiseOperation,
...@@ -108,18 +108,20 @@ void add_device_reduce_instance_threadwise( ...@@ -108,18 +108,20 @@ void add_device_reduce_instance_threadwise(
}); });
}; };
#define ADD_THREADWISE_INST_BY_TYPE(inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ #define ADD_THREADWISE_INST_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
template void add_device_reduce_instance_threadwise<inT, \ template void add_device_reduce_instance_threadwise<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
std::vector<deviceReduceThreadWisePtrType<compT, ReduceOpId>> & device_op_instances) std::vector<deviceReduceThreadWisePtrType<compT, ReduceOpId>> & device_op_instances)
#define ADD_THREADWISE_INST_BY_ID(inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ #define ADD_THREADWISE_INST_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_THREADWISE_INST_BY_TYPE(inT, \ ADD_THREADWISE_INST_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -127,15 +129,15 @@ void add_device_reduce_instance_threadwise( ...@@ -127,15 +129,15 @@ void add_device_reduce_instance_threadwise(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
#define ADD_THREADWISE_INST_REF_BY_TYPE( \ #define ADD_THREADWISE_INST_REF_BY_TYPE( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
extern template void add_device_reduce_instance_threadwise<inT, \ extern template void add_device_reduce_instance_threadwise<inT, \
compT, \ compT, \
outT, \ outT, \
Rank, \ Rank, \
Sequence<__VA_ARGS__>, \ NumReduceDim, \
ReduceOpId, \ ReduceOpId, \
NanOpt, \ NanOpt, \
IndicesOpt>( \ IndicesOpt>( \
...@@ -145,7 +147,8 @@ void add_device_reduce_instance_threadwise( ...@@ -145,7 +147,8 @@ void add_device_reduce_instance_threadwise(
AccElementwiseOperation>> & \ AccElementwiseOperation>> & \
device_op_instances) device_op_instances)
#define ADD_THREADWISE_INST_REF_BY_ID(inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, ...) \ #define ADD_THREADWISE_INST_REF_BY_ID( \
inT, compT, outT, ReduceOpId, NanOpt, IndicesOpt, Rank, NumReduceDim) \
ADD_THREADWISE_INST_REF_BY_TYPE(inT, \ ADD_THREADWISE_INST_REF_BY_TYPE(inT, \
compT, \ compT, \
outT, \ outT, \
...@@ -153,7 +156,7 @@ void add_device_reduce_instance_threadwise( ...@@ -153,7 +156,7 @@ void add_device_reduce_instance_threadwise(
static_cast<NanPropagation_t>(NanOpt), \ static_cast<NanPropagation_t>(NanOpt), \
static_cast<ReduceTensorIndices_t>(IndicesOpt), \ static_cast<ReduceTensorIndices_t>(IndicesOpt), \
Rank, \ Rank, \
__VA_ARGS__) NumReduceDim)
} // namespace device_reduce_instance } // namespace device_reduce_instance
} // namespace device } // namespace device
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f16_f16.hpp
View file @ 827301d9
...@@ -11,25 +11,25 @@ namespace device { ...@@ -11,25 +11,25 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 0, 1, 2); // for MIN ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 3); // for MIN
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 0, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 0, 1, 2); // for MAX ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 3); // for MAX
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 0, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 0, 1, 2); // for AMAX ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 3); // for AMAX
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 0, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 0, 1, 2); // for MIN ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 3); // for MIN
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 2, 0, 1, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 0, 1, 2); // for MAX ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 3); // for MAX
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 3, 0, 1, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 0, 1, 2); // for AMAX ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 3); // for AMAX
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, half_t, half_t, 4, 0, 1, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
library/include/ck/library/tensor_operation_instance/gpu/reduce/device_reduce_instance_threadwise_f16_f32_f16.hpp
View file @ 827301d9
...@@ -11,16 +11,16 @@ namespace device { ...@@ -11,16 +11,16 @@ namespace device {
namespace device_reduce_instance { namespace device_reduce_instance {
// clang-format off // clang-format off
// InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | ReduceDims // InDataType | AccDataType | OutDataType | ReduceOpId | NanPropaOpt | IndicesOpt | Rank | NumReduceDim
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 0, 1, 2); // for ADD ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 3); // for ADD
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 0); ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 2, 1); ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 0, 0, 0, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 0, 1, 2); // for AVG ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 3); // for AVG
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 5, 0, 0, 2, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 0, 1, 2); // for NORM2 ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 3); // for NORM2
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 0); // ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 4, 1);
ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 2, 1); // ADD_THREADWISE_INST_REF_BY_ID(half_t, float, half_t, 7, 0, 0, 2, 1);
// clang-format on // clang-format on
} // namespace device_reduce_instance } // namespace device_reduce_instance
......
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