Commit 72e0c1c5 authored by Rostyslav Geyyer's avatar Rostyslav Geyyer
Browse files

Merge branch 'develop' into lwpck-739

parents 898866e0 f0c620c4
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_f32_f32_rank3_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3>>& instances);
void add_device_softmax_f32_f32_rank4_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank3_reduce1_instances( void add_device_softmax_f32_f32_rank3_reduce1_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3, 1>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank3_reduce2_instances( void add_device_softmax_f32_f32_rank3_reduce2_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3, 2>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank3_reduce3_instances( void add_device_softmax_f32_f32_rank3_reduce3_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 3, 3>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank4_reduce1_instances( void add_device_softmax_f32_f32_rank4_reduce1_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4, 1>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank4_reduce2_instances( void add_device_softmax_f32_f32_rank4_reduce2_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4, 2>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank4_reduce3_instances( void add_device_softmax_f32_f32_rank4_reduce3_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4, 3>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -14,7 +14,7 @@ namespace device { ...@@ -14,7 +14,7 @@ namespace device {
namespace instance { namespace instance {
void add_device_softmax_f32_f32_rank4_reduce4_instances( void add_device_softmax_f32_f32_rank4_reduce4_instances(
std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4>>& instances); std::vector<DeviceSoftmaxPtr<F32, F32, F32, PassThrough, PassThrough, 4, 4>>& instances);
} // namespace instance } // namespace instance
} // namespace device } // namespace device
......
...@@ -16,7 +16,7 @@ template <index_t Rank, index_t Reduce> ...@@ -16,7 +16,7 @@ template <index_t Rank, index_t Reduce>
using device_softmax_f32_f32_instances = std::tuple< using device_softmax_f32_f32_instances = std::tuple<
// clang-format off // clang-format off
// InDataType, AccDataType, OutDataType, InElementwiseOp, AccElementwiseOp, Rank, NumReduceDim, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, InSrcVectorDim, InSrcVectorSize, OutDstVectorSize> // InDataType, AccDataType, OutDataType, InElementwiseOp, AccElementwiseOp, Rank, NumReduceDim, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, InSrcVectorDim, InSrcVectorSize, OutDstVectorSize>
DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 1, 8, 1, 1, 1>, // fallback kernel DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 1, 8, 1, 1, 1>,
DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 1, 8, 1, 4, 4>, DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 1, 8, 1, 4, 4>,
DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 4, 64, 1, 8, 1, 4, 4>, DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 4, 64, 1, 8, 1, 4, 4>,
DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 2, 128, 1, 8, 1, 4, 4>, DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 256, 2, 128, 1, 8, 1, 4, 4>,
...@@ -32,6 +32,13 @@ using device_softmax_f32_f32_instances = std::tuple< ...@@ -32,6 +32,13 @@ using device_softmax_f32_f32_instances = std::tuple<
// clang-format on // clang-format on
>; >;
template <index_t Rank, index_t Reduce>
using device_softmax_f32_f32_generic_instance = std::tuple<
// clang-format off
DeviceSoftmaxImpl< F32, F32, F32, PassThrough, PassThrough, Rank, Reduce, 64, 8, 8, 1, 1, 1, 1, 1>
// clang-format on
>;
} // namespace instance } // namespace instance
} // namespace device } // namespace device
} // namespace tensor_operation } // namespace tensor_operation
......
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank3_instances(
std::vector<DeviceSoftmaxPtr<F16, F32, F16, PassThrough, PassThrough, 3>>& instances);
void add_device_softmax_i8_i8_rank4_instances(
std::vector<DeviceSoftmaxPtr<F16, F32, F16, PassThrough, PassThrough, 4>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank3_reduce1_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 3>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank3_reduce2_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 3>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank3_reduce3_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 3>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank4_reduce1_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 4>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank4_reduce2_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 4>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank4_reduce3_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 4>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <vector>
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/device_softmax.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
void add_device_softmax_i8_i8_rank4_reduce4_instances(
std::vector<DeviceSoftmaxPtr<I8, F32, I8, PassThrough, PassThrough, 4>>& instances);
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2023, Advanced Micro Devices, Inc. All rights reserved.
#include <tuple>
#include "ck/ck.hpp"
#include "ck/library/tensor_operation_instance/device_operation_instance_factory.hpp"
#include "ck/tensor_operation/gpu/device/impl/device_softmax_impl.hpp"
#include "ck/tensor_operation/gpu/element/unary_element_wise_operation.hpp"
namespace ck {
namespace tensor_operation {
namespace device {
namespace instance {
template <index_t Rank, index_t Reduce>
using device_softmax_i8_i8_instances = std::tuple<
// clang-format off
// InDataType, AccDataType, OutDataType, InElementwiseOp, AccElementwiseOp, Rank, NumReduceDim, BlockSize, MThreadClusterSize, KThreadClusterSize, MThreadSliceSize, KThreadSliceSize, InSrcVectorDim, InSrcVectorSize, OutDstVectorSize>
// fallback kernel
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 1, 16, 1, 1, 1>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 1, 16, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 4, 64, 1, 16, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 2, 128, 1, 16, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 2, 128, 1, 32, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 2, 128, 1, 64, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 1, 256, 1, 16, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 1, 256, 1, 32, 1, 16, 16>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 1, 256, 1, 64, 1, 16, 16>,
// Reduction on middle dimensions
// InSrcVectorDim is 0 since we want to coalesce reads on M dimension
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 8, 32, 8, 8, 0, 1, 1>,
DeviceSoftmaxImpl< I8, F32, I8, PassThrough, PassThrough, Rank, Reduce, 256, 32, 8, 32, 8, 0, 16, 8>
// clang-format on
>;
} // namespace instance
} // namespace device
} // namespace tensor_operation
} // namespace ck
...@@ -3,6 +3,17 @@ ...@@ -3,6 +3,17 @@
#pragma once #pragma once
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance.hpp" #include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce1.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance.hpp" #include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce2.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_i8_i8_instance.hpp" #include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank3_reduce3.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce1.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce2.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce3.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f16_f16_instance_rank4_reduce4.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce1.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce2.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank3_reduce3.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce1.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce2.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce3.hpp"
#include "ck/library/tensor_operation_instance/gpu/softmax/device_softmax_f32_f32_instance_rank4_reduce4.hpp"
...@@ -13,6 +13,7 @@ ...@@ -13,6 +13,7 @@
#include "ck/utility/data_type.hpp" #include "ck/utility/data_type.hpp"
#include "ck/utility/span.hpp" #include "ck/utility/span.hpp"
#include "ck/utility/type_convert.hpp"
#include "ck/library/utility/algorithm.hpp" #include "ck/library/utility/algorithm.hpp"
#include "ck/library/utility/ranges.hpp" #include "ck/library/utility/ranges.hpp"
......
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