Commit 9c2589da authored by Bartlomiej Kocot's avatar Bartlomiej Kocot
Browse files

Change doxygen deprecated to note to avoid warnings

parent c0dec973
...@@ -13,8 +13,8 @@ namespace device { ...@@ -13,8 +13,8 @@ namespace device {
/** /**
* \brief Grouped Convolution Forward * \brief Grouped Convolution Forward
* *
* \deprecated This structure is deprecated (left for backwards compatibility). Please use * \note This structure is deprecated (left for backwards compatibility). Please use
* DeviceGroupedConvFwdMultipleABD. * DeviceGroupedConvFwdMultipleABD.
* *
* \tparam NDimSpatial Number of spatial dimensions. * \tparam NDimSpatial Number of spatial dimensions.
* \tparam ALayout Input layout (also for a1, a2...). * \tparam ALayout Input layout (also for a1, a2...).
...@@ -48,20 +48,19 @@ template <index_t NDimSpatial, ...@@ -48,20 +48,19 @@ template <index_t NDimSpatial,
ADataType>())> // ComputeType is InputType by default (first ADataType>())> // ComputeType is InputType by default (first
// in tuple for MultiAB), unpack if tuple was // in tuple for MultiAB), unpack if tuple was
// passed // passed
using DeviceGroupedConvFwdMultipleD [[deprecated]] = using DeviceGroupedConvFwdMultipleD = DeviceGroupedConvFwdMultipleABD<NDimSpatial,
DeviceGroupedConvFwdMultipleABD<NDimSpatial, ALayout,
ALayout, BLayout,
BLayout, DsLayout,
DsLayout, ELayout,
ELayout, ADataType,
ADataType, BDataType,
BDataType, DsDataType,
DsDataType, EDataType,
EDataType, AElementwiseOperation,
AElementwiseOperation, BElementwiseOperation,
BElementwiseOperation, CDEElementwiseOperation,
CDEElementwiseOperation, ComputeType>;
ComputeType>;
} // namespace device } // namespace device
} // namespace tensor_operation } // namespace tensor_operation
......
...@@ -15,8 +15,8 @@ namespace device { ...@@ -15,8 +15,8 @@ namespace device {
// //
// @brief Device Convolution operation. // @brief Device Convolution operation.
// @deprecated This structure is deprecated (left for backwards compatibility). Please use // @note This structure is deprecated (left for backwards compatibility). Please use
// DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle. // DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle.
// Supports: // Supports:
// @li Forward convolution with up to 3 spatial dimentions // @li Forward convolution with up to 3 spatial dimentions
// @li Input tensor in GNWC data format // @li Input tensor in GNWC data format
...@@ -82,55 +82,54 @@ template <index_t NDimSpatial, ...@@ -82,55 +82,54 @@ template <index_t NDimSpatial,
// in tuple for MultiAB), unpack if tuple was // in tuple for MultiAB), unpack if tuple was
// passed // passed
LoopScheduler LoopSched = make_default_loop_scheduler()> LoopScheduler LoopSched = make_default_loop_scheduler()>
using DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle [[deprecated]] = using DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle = DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle<
DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle< NDimSpatial,
NDimSpatial, ALayout,
ALayout, BLayout,
BLayout, DsLayout,
DsLayout, ELayout,
ELayout, ADataType,
ADataType, BDataType,
BDataType, AccDataType,
AccDataType, CShuffleDataType,
CShuffleDataType, DsDataType,
DsDataType, EDataType,
EDataType, AElementwiseOperation,
AElementwiseOperation, BElementwiseOperation,
BElementwiseOperation, CDEElementwiseOperation,
CDEElementwiseOperation, ConvForwardSpecialization,
ConvForwardSpecialization, GemmSpec,
GemmSpec, NumGemmKPrefetchStage,
NumGemmKPrefetchStage, BlockSize,
BlockSize, MPerBlock,
MPerBlock, NPerBlock,
NPerBlock, KPerBlock,
KPerBlock, AK1,
AK1, BK1,
BK1, MPerXDL,
MPerXDL, NPerXDL,
NPerXDL, MXdlPerWave,
MXdlPerWave, NXdlPerWave,
NXdlPerWave, ABlockTransferThreadClusterLengths_AK0_M_AK1,
ABlockTransferThreadClusterLengths_AK0_M_AK1, ABlockTransferThreadClusterArrangeOrder,
ABlockTransferThreadClusterArrangeOrder, ABlockTransferSrcAccessOrder,
ABlockTransferSrcAccessOrder, ABlockTransferSrcVectorDim,
ABlockTransferSrcVectorDim, ABlockTransferSrcScalarPerVector,
ABlockTransferSrcScalarPerVector, ABlockTransferDstScalarPerVector_AK1,
ABlockTransferDstScalarPerVector_AK1, ABlockLdsExtraM,
ABlockLdsExtraM, BBlockTransferThreadClusterLengths_BK0_N_BK1,
BBlockTransferThreadClusterLengths_BK0_N_BK1, BBlockTransferThreadClusterArrangeOrder,
BBlockTransferThreadClusterArrangeOrder, BBlockTransferSrcAccessOrder,
BBlockTransferSrcAccessOrder, BBlockTransferSrcVectorDim,
BBlockTransferSrcVectorDim, BBlockTransferSrcScalarPerVector,
BBlockTransferSrcScalarPerVector, BBlockTransferDstScalarPerVector_BK1,
BBlockTransferDstScalarPerVector_BK1, BBlockLdsExtraN,
BBlockLdsExtraN, CShuffleMXdlPerWavePerShuffle,
CShuffleMXdlPerWavePerShuffle, CShuffleNXdlPerWavePerShuffle,
CShuffleNXdlPerWavePerShuffle, CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock,
CDEBlockTransferClusterLengths_MBlock_MPerBlock_NBlock_NPerBlock, CDEBlockTransferScalarPerVector_NPerBlock,
CDEBlockTransferScalarPerVector_NPerBlock, ComputeDataType,
ComputeDataType, LoopSched>;
LoopSched>;
} // namespace device } // namespace device
} // namespace tensor_operation } // namespace tensor_operation
......
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