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muDNN API Reference

1 Introduction​

The Moore Threads® MUSA® Deep Neural Network(muDNN) library is a GPU-accelerated library for common- used primitives in deep neural networks. muDNN provides highly optimized functions that can be used to perform various mathematical and data processing tasks, such as:

  • Tensor operations: element-wise operations, matrix operations, reduction operations, etc.
  • Neural network layers: convolution, pooling, normalization, activation, etc.
  • Loss functions: KLDivLoss, L2Loss, NLLLoss, etc. It enables users to focus on training neural networks and developing applications rather than accelerating GPU performance. muDNN library offers a context-based API that allows for easy multithreading with MUSA streams.

This API Reference lists the data type definitions and detailed descriptions of functions.

1.1 Functional requirements and assurances​

  • Each API could be accessed safely and concurrently, i.e. they are reentrant. Users must ensure that the necessary input memory allocation and data preparation are ready before calling the API.
  • Most APIs (except specific ones with annotation) could reproduce the same result with identical configuration and input.
  • muDNN supports a maximum tensor dimension of size 8.

2 Module Index​

2.1 Modules​

Here is a list of all modules:

  • Base Operators
  • Image Operators
  • Math Operators
  • NN -(Neural Network) Operators
  • Version

3 Class Index​

3.1 Class List​

  • musa::dnn::BatchMatMul Here are the classes, structs, unions and interfaces with brief descriptions:
  • musa::dnn::BatchNorm
  • musa::dnn::Binary
  • musa::dnn::Concat
  • musa::dnn::Convolution
  • musa::dnn::CTCLoss
  • musa::dnn::Cum
  • musa::dnn::Cumsum
  • musa::dnn::DebugInfo
  • musa::dnn::DeformableConv
  • musa::dnn::Dot
  • musa::dnn::Dropout
  • musa::dnn::Fill
  • musa::dnn::Convolution::FusedActivationDesc
  • musa::dnn::GatherX
  • musa::dnn::Glu
  • musa::dnn::GroupNorm
  • musa::dnn::Handle
  • musa::dnn::ImplBase
  • musa::dnn::Interpolate
  • musa::dnn::KLDivLoss
  • musa::dnn::L2Loss
  • musa::dnn::LayerNorm
  • musa::dnn::LocalResponseNorm
  • musa::dnn::MaskedScatter
  • musa::dnn::MaskedSelect
  • musa::dnn::MatMul
  • musa::dnn::MatrixBase
  • musa::dnn::MultiHeadAttention
  • musa::dnn::NLLLoss
  • musa::dnn::Nonzero
  • musa::dnn::Pad
  • musa::dnn::Permute
  • musa::dnn::Pooling
  • musa::dnn::Reduce
  • musa::dnn::RMSNorm
  • musa::dnn::RNN
  • musa::dnn::ScaledDotProductAttention
  • musa::dnn::Scan
  • musa::dnn::Scatter
  • musa::dnn::ScatterND
  • musa::dnn::Softmax
  • musa::dnn::Sort
  • musa::dnn::SortByKey
  • musa::dnn::Tensor
  • musa::dnn::TensorBase
  • musa::dnn::Ternary
  • musa::dnn::TopK
  • musa::dnn::Unary
  • musa::dnn::Unfold
  • musa::dnn::Unique
  • musa::dnn::WeightNorm

4 Module Documentation​

4.1 Base Operators​

Classes​

  • class musa::dnn::ImplBase
  • class musa::dnn::Handle
  • class musa::dnn::TensorBase
  • class musa::dnn::Tensor
  • class musa::dnn::MatrixBase
  • class musa::dnn::DebugInfo

Macros​

  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x, ...) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x, y) x,

Typedefs​

- using **musa::dnn::MemoryHandler** = std::unique_ptr<void, std::function<void(void∗)>>
- using **musa::dnn::MemoryMaintainer** = std::function<MemoryHandler(size_t)>
- using **musa::dnn::CallBack** = std::function<void(DebugInfo::Severity, void∗user_data, const DebugInfo
    &dbg, const char∗message)>

Enumerations​

- enum class **Status** { **MUDNN_ITEM** }
- enum class **Type** { **MUDNN_ITEM** }
- enum class **Format** { **MUDNN_ITEM** }
- enum class **ComputeMode** { **MUDNN_ITEM** }
- enum class **Severity** { **MUDNN_ITEM** }

Functions​

- void∗ **musa::dnn::ImplBase::GetImpl** ()
- const void∗ **musa::dnn::ImplBase::GetImpl** () const
- **musa::dnn::ImplBase::ImplBase** (void∗impl)
- **musa::dnn::ImplBase::ImplBase** (const ImplBase &)=delete
- **musa::dnn::ImplBase::ImplBase** (ImplBase &&)=delete
- ImplBase & **musa::dnn::ImplBase::operator=** (const ImplBase &)=delete
- ImplBase & **musa::dnn::ImplBase::operator=** (ImplBase &&)=delete
- **musa::dnn::Handle::Handle** (int device_id)
- int **musa::dnn::Handle::GetDeviceId** () const
- Status **musa::dnn::Handle::SetStream** (musaStream_t stream)
- musaStream_t **musa::dnn::Handle::GetStream** () const
- Status **musa::dnn::Handle::SetAllowTF32** (bool allow_tf32)
- bool **musa::dnn::Handle::GetAllowTF32** () const
- **musa::dnn::Tensor::Tensor** (const Tensor &)
- **musa::dnn::Tensor::Tensor** (Tensor &&)
- Tensor & **musa::dnn::Tensor::operator=** (const Tensor &)
- Tensor & **musa::dnn::Tensor::operator=** (Tensor &&)
- Status **musa::dnn::Tensor::SetAddr** (const void∗addr)
- Status **musa::dnn::Tensor::SetType** (Type t)
- Status **musa::dnn::Tensor::SetFormat** (Format f)
- Status **musa::dnn::Tensor::SetNdInfo** (std::initializer_list<int64_t>dim)
- Status **musa::dnn::Tensor::SetNdInfo** (int ndims, const int64_t∗dim)
- Status **musa::dnn::Tensor::SetNdInfo** (int64_t ndims, const int64_t∗dim)
- Status **musa::dnn::Tensor::SetNdInfo** (std::initializer_list<int64_t>dim, std::initializer_list<int64_t>
    stride)
- Status **musa::dnn::Tensor::SetNdInfo** (int ndims, const int64_t∗dim, const int64_t∗stride)
- Status **musa::dnn::Tensor::SetNdInfo** (int64_t ndims, const int64_t∗dim, const int64_t∗stride)
- Status **musa::dnn::Tensor::GetNdInfo** (std::vector<int64_t>&dim)
- Status **musa::dnn::Tensor::GetNdInfo** (std::vector<int64_t>&dim, std::vector<int64_t>&stride)
- Status **musa::dnn::Tensor::SetQuantizationInfo** (int n, const float∗scales, const unsigned int∗zero_←-
    points)
- Status **musa::dnn::Tensor::SetQuantizationInfo** (std::initializer_list<float>scales, std::initializer_list<
    unsigned int>zero_points)
- Status **musa::dnn::Tensor::SetQuantizationInfo** (const std::vector<float>&scales)
- Status **musa::dnn::Tensor::CopyFrom** (void∗ptr, size_t bytes, int kind, Handle &h, bool sync=false)
- Status **musa::dnn::Tensor::CopyTo** (void∗ptr, size_t bytes, int kind, Handle &h, bool sync=false) const
- MUDNN_EXPORT Status **musa::dnn::SetCallBack** (DebugInfo::Severity min, void∗udata, CallBack f)

Variables​

  • void∗ musa::dnn::ImplBase::impl_
  • uint32_t musa::dnn::DebugInfo::version
  • Severity musa::dnn::DebugInfo::severity
  • uint32_t musa::dnn::DebugInfo::time_sec
  • uint32_t musa::dnn::DebugInfo::time_usec
  • uint32_t musa::dnn::DebugInfo::time_delta
  • uint64_t musa::dnn::DebugInfo::tid
  • int32_t musa::dnn::DebugInfo::device_id
  • const Handle∗ musa::dnn::DebugInfo::handle

4.1.1 Detailed Description​

This entity contains basic functionality related to muDNN context creation and destruction, tensor utility routines, tensor core operations, debug logs, and so on.

4.2 Image Operators​

Classes​

  • class musa::dnn::Interpolate

Macros​

  • #define MUDNN_ITEM (x) x,

Enumerations​

- enum class **Mode** { **MUDNN_ITEM** }

Functions​

- Status **musa::dnn::Interpolate::SetMode** (Mode m)
- Status **musa::dnn::Interpolate::SetScaleInfo** (std::initializer_list<float>scale)
- Status **musa::dnn::Interpolate::SetScaleInfo** (int length, float∗scale)
- Status **musa::dnn::Interpolate::SetAlignCorners** (bool align_corners)
- Status **musa::dnn::Interpolate::Run** (Handle &h, Tensor &out, const Tensor &in) const
- Status **musa::dnn::Interpolate::RunBackward** (Handle &h, Tensor &out, const Tensor &in) const

4.2.1 Detailed Description​

This entity is a collection of image processing and manipulation operations, including resizing images, cropping, and interpolating.

4.3 Math Operators​

Classes​

  • class musa::dnn::Unary
  • class musa::dnn::Binary
  • class musa::dnn::Ternary
  • class musa::dnn::Reduce
  • class musa::dnn::BatchMatMul
  • class musa::dnn::MatMul
  • class musa::dnn::Dot
  • class musa::dnn::Concat
  • class musa::dnn::Permute
  • class musa::dnn::Fill
  • class musa::dnn::Sort
  • class musa::dnn::SortByKey
  • class musa::dnn::TopK
  • class musa::dnn::Scan
  • class musa::dnn::Cumsum
  • class musa::dnn::Cum
  • class musa::dnn::GatherX
  • class musa::dnn::MaskedSelect
  • class musa::dnn::MaskedScatter
  • class musa::dnn::Unfold
  • class musa::dnn::Unique
  • class musa::dnn::Nonzero

Macros​

  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,

Enumerations​

- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **ScanOpType** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }

Functions​

- Status **musa::dnn::Unary::SetMode** (Mode m)
- Status **musa::dnn::Unary::SetAlpha** (double alpha)
- Status **musa::dnn::Unary::SetAlpha** (int64_t alpha)
- Status **musa::dnn::Unary::SetAlpha** (const void∗alpha)
- Status **musa::dnn::Unary::SetBeta** (double beta)
- Status **musa::dnn::Unary::SetBeta** (int64_t beta)
- Status **musa::dnn::Unary::SetBeta** (const void∗beta)
- Status **musa::dnn::Unary::Run** (Handle &h, Tensor &out, const Tensor &in) const
- Status **musa::dnn::Binary::SetMode** (Mode m)
- Status **musa::dnn::Binary::SetAlpha** (double alpha)
- Status **musa::dnn::Binary::SetAlpha** (int64_t alpha)
- Status **musa::dnn::Binary::SetAlpha** (const void∗alpha)
- Status **musa::dnn::Binary::SetBeta** (double beta)
- Status **musa::dnn::Binary::SetBeta** (int64_t beta)
- Status **musa::dnn::Binary::SetBeta** (const void∗beta)
- Status **musa::dnn::Binary::Run** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r) const
- Status **musa::dnn::Ternary::SetMode** (Mode m)
- Status **musa::dnn::Ternary::SetAlpha** (double alpha)
- Status **musa::dnn::Ternary::SetAlpha** (int64_t alpha)
- Status **musa::dnn::Ternary::SetAlpha** (const void∗alpha)
- Status **musa::dnn::Ternary::SetBeta** (double beta)
- Status **musa::dnn::Ternary::SetBeta** (int64_t beta)
- Status **musa::dnn::Ternary::SetBeta** (const void∗beta)
- Status **musa::dnn::Ternary::SetGamma** (double gamma)
- Status **musa::dnn::Ternary::SetGamma** (int64_t gamma)
- Status **musa::dnn::Ternary::SetGamma** (const void∗gamma)
- Status **musa::dnn::Ternary::Run** (Handle &h, Tensor &out, const Tensor &in0, const Tensor &in1, const
    Tensor &in2) const
- Status **musa::dnn::Reduce::SetMode** (Mode m)
- Status **musa::dnn::Reduce::SetDim** (std::initializer_list<int>dim)
- Status **musa::dnn::Reduce::SetDim** (int ndim, const int∗dim)
- Status **musa::dnn::Reduce::SetNormOrd** (float ord)
- Status **musa::dnn::Reduce::GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out, const
    Tensor &in)
- Status **musa::dnn::Reduce::Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer
    &maintainer) const
- Status **musa::dnn::Reduce::RunIndices** (Handle &h, Tensor &out, const Tensor &in, const Memory←-
    Maintainer &maintainer) const
- Status **musa::dnn::Reduce::RunWithIndices** (Handle &h, Tensor &out, Tensor &indices, const Tensor &in,
    const MemoryMaintainer &maintainer) const
- Status **musa::dnn::BatchMatMul::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::BatchMatMul::SetTranspose** (bool left, bool right)
- Status **musa::dnn::BatchMatMul::SetSplitK** (bool split_k)
- Status **musa::dnn::BatchMatMul::SetAlpha** (double alpha)
- Status **musa::dnn::BatchMatMul::SetBeta** (double beta)
- Status **musa::dnn::BatchMatMul::SetGamma** (double gamma)
- Status **musa::dnn::BatchMatMul::GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out,
    const Tensor &l, const Tensor &r)
- Status **musa::dnn::BatchMatMul::Run** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const
    MemoryMaintainer &maintainer=nullptr) const
- Status **musa::dnn::BatchMatMul::RunWithBiasAdd** (Handle &h, Tensor &out, const Tensor &l, const
    Tensor &r, const Tensor &bias, const MemoryMaintainer &maintainer=nullptr) const


- Status **musa::dnn::BatchMatMul::Run** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const
    int64_t batch, const int64_t m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const
    int64_t ldc, const int64_t stride_a, const int64_t stride_b, const int64_t stride_c, const MemoryMaintainer
    &maintainer=nullptr) const
- Status **musa::dnn::BatchMatMul::RunWithBiasAdd** (Handle &h, Tensor &out, const Tensor &l, const
    Tensor &r, const Tensor &bias, const int64_t batch, const int64_t m, const int64_t n, const int64_t k, const
    int64_t lda, const int64_t ldb, const int64_t ldc, const int64_t stride_a, const int64_t stride_b, const int64_t
    stride_c, const MemoryMaintainer &maintainer=nullptr) const
- Status **musa::dnn::MatMul::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::MatMul::SetTranspose** (bool left, bool right)
- Status **musa::dnn::MatMul::SetSplitK** (bool split_k)
- Status **musa::dnn::MatMul::SetAlpha** (double alpha)
- Status **musa::dnn::MatMul::SetBeta** (double beta)
- Status **musa::dnn::MatMul::SetGamma** (double gamma)
- Status **musa::dnn::MatMul::GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out, const
    Tensor &l, const Tensor &r)
- Status **musa::dnn::MatMul::Run** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const
    MemoryMaintainer &maintainer=nullptr) const
- Status **musa::dnn::MatMul::RunWithBiasAdd** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r,
    const Tensor &bias, const MemoryMaintainer &maintainer=nullptr) const
- Status **musa::dnn::MatMul::Run** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const int64_t
    m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const int64_t ldc, const Memory←-
    Maintainer &maintainer=nullptr) const
- Status **musa::dnn::MatMul::RunWithBiasAdd** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r,
    const Tensor &bias, const int64_t m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const
    int64_t ldc, const MemoryMaintainer &maintainer=nullptr) const
- Status **musa::dnn::Dot::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::Dot::SetAxis** (int axis)
- Status **musa::dnn::Dot::SetAxes** (int axis_l, int axis_r)
- Status **musa::dnn::Dot::SetSplitK** (bool split_k)
- Status **musa::dnn::Dot::GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out, const Tensor
    &l, const Tensor &r)
- Status **musa::dnn::Dot::Run** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const Memory←-
    Maintainer &maintainer=nullptr) const
- Status **musa::dnn::Dot::RunWithBiasAdd** (Handle &h, Tensor &out, const Tensor &l, const Tensor &r,
    const Tensor &bias, const MemoryMaintainer &maintainer=nullptr) const
- Status **musa::dnn::Concat::SetAxis** (int axis)
- Status **musa::dnn::Concat::Run** (Handle &h, Tensor &out, int num_input, const Tensor∗ins) const
- Status **musa::dnn::Permute::Run** (Handle &h, Tensor &out, const Tensor &in) const
- Status **musa::dnn::Permute::SetSrcOffset** (int64_t s_offset)
- Status **musa::dnn::Permute::SetDstOffset** (int64_t d_offset)
- static Status **musa::dnn::Permute::ConfigDimStride** (Tensor &out, Tensor &in, std::initializer_list<int64←-
    _t>permute_dims)
- static Status **musa::dnn::Permute::ConfigDimStride** (Tensor &out, Tensor &in, int len, const int64_←-
    t∗array_dims)
- Status **musa::dnn::Permute::ConfigDimStrideForSlice** (Tensor &out, Tensor &in, const int64_t∗start)
- Status **musa::dnn::Permute::ConfigDimStrideForSlice** (Tensor &out, Tensor &in, const int64_t∗start,
    const int64_t∗stride)
- Status **musa::dnn::Fill::SetValue** (double value)
- Status **musa::dnn::Fill::SetValue** (int64_t value)
- Status **musa::dnn::Fill::Run** (Handle &h, Tensor &out) const
- Status **musa::dnn::Fill::Run** (Handle &h, Tensor &out, Tensor &mask) const
- Status **musa::dnn::Sort::SetDim** (int dim)
- Status **musa::dnn::Sort::SetStable** (bool stable)
- Status **musa::dnn::Sort::SetDescending** (bool descending)


- Status **musa::dnn::Sort::Run** (Handle &h, Tensor &out, Tensor &indices, const Tensor &in, const Memory←-
    Maintainer &maintainer) const
- Status **musa::dnn::SortByKey::SetDim** (int dim)
- Status **musa::dnn::SortByKey::SetStable** (bool stable)
- Status **musa::dnn::SortByKey::SetDescending** (bool descending)
- Status **musa::dnn::SortByKey::Run** (Handle &h, Tensor &key_out, Tensor &value_out, const Tensor
    &key_in, const Tensor &value_in, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::TopK::SetK** (int k)
- Status **musa::dnn::TopK::SetDim** (int dim)
- Status **musa::dnn::TopK::SetLargest** (bool largest)
- Status **musa::dnn::TopK::SetSorted** (bool sorted)
- Status **musa::dnn::TopK::Run** (Handle &h, Tensor &out, Tensor &indices, const Tensor &in, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::Scan::SetMode** (Mode m)
- Status **musa::dnn::Scan::SetOpType** (ScanOpType op_type)
- Status **musa::dnn::Scan::SetInitVal** (double value)
- Status **musa::dnn::Scan::SetInitVal** (int64_t value)
- Status **musa::dnn::Scan::Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &main-
    tainer) const
- Status **musa::dnn::Cumsum::SetDim** (int dim)
- Status **musa::dnn::Cumsum::Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer
    &maintainer) const
- Status **musa::dnn::Cum::SetDim** (int dim)
- Status **musa::dnn::Cum::SetMode** (Mode m)
- Status **musa::dnn::Cum::Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &main-
    tainer) const
- Status **musa::dnn::GatherX::SetMode** (Mode m)
- Status **musa::dnn::GatherX::SetAxis** (int axis)
- Status **musa::dnn::GatherX::SetBatchDims** (int batch_dims)
- Status **musa::dnn::GatherX::Run** (Handle &h, Tensor &out, const Tensor &index, const Tensor &in) const
- Status **musa::dnn::MaskedSelect::Run** (Handle &h, Tensor &out, const Tensor &input, const Tensor
    &mask, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::MaskedScatter::Run** (Handle &h, Tensor &out, const Tensor &mask, const Tensor
    &source, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::Unfold::SetAxis** (int axis)
- Status **musa::dnn::Unfold::SetSize** (int size)
- Status **musa::dnn::Unfold::SetStep** (int step)
- Status **musa::dnn::Unfold::Run** (Handle &h, Tensor &out, const Tensor &input) const
- Status **musa::dnn::Unique::SetMode** (Mode m)
- Status **musa::dnn::Unique::Run** (Handle &h, Tensor &out, Tensor &inverse_indices, Tensor &counts, const
    Tensor &in, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::Nonzero::Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer
    &maintainer) const

4.3.1 Detailed Description​

This entity contains a wide array of math operations, including:

  • Arithmetic operations: add, subtract, multiply, divide, etc.
  • Exponential and Logarithmic operations: exp, log, log1p, etc.
  • Trigonometric operations: sin, cos, tan, atan, etc.
  • Neural networks operations: sigmoid, hardsigmoid, leaky_relu, etc.

4.4 NN(Neural Network) Operators​

Classes​

  • class musa::dnn::Convolution
  • struct musa::dnn::Convolution::FusedActivationDesc
  • class musa::dnn::BatchNorm
  • class musa::dnn::Pooling
  • class musa::dnn::RNN
  • class musa::dnn::DeformableConv
  • class musa::dnn::Dropout
  • class musa::dnn::Pad
  • class musa::dnn::Softmax
  • class musa::dnn::LayerNorm
  • class musa::dnn::RMSNorm
  • class musa::dnn::GroupNorm
  • class musa::dnn::WeightNorm
  • class musa::dnn::Glu
  • class musa::dnn::Scatter
  • class musa::dnn::ScatterND
  • class musa::dnn::NLLLoss
  • class musa::dnn::KLDivLoss
  • class musa::dnn::L2Loss
  • class musa::dnn::LocalResponseNorm
  • class musa::dnn::MultiHeadAttention
  • class musa::dnn::ScaledDotProductAttention
  • class musa::dnn::CTCLoss

Macros​

  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,
  • #define MUDNN_ITEM (x) x,

Enumerations​

- enum class **Algorithm** { **MUDNN_ITEM** }
- enum class **AlgorithmBwdData** { **MUDNN_ITEM** }
- enum class **AlgorithmBwdFilter** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Format** { **MUDNN_ITEM** }
- enum class **BiasMode** { **MUDNN_ITEM** }
- enum class **Direction** { **MUDNN_ITEM** }
- enum class **Algorithm** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Algorithm** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }

Functions​

- Status **musa::dnn::Convolution::FusedActivationDesc::SetMode** (Mode m)
- Status **musa::dnn::Convolution::FusedActivationDesc::SetCoef** (double activAlpha, double activBeta,
    double activGamma)
- Status **musa::dnn::Convolution::SetGroups** (int group_num)
- Status **musa::dnn::Convolution::SetNdInfo** (std::initializer_list<int>pad, std::initializer_list<int>stride,
    std::initializer_list<int>dilation)
- Status **musa::dnn::Convolution::SetNdInfo** (int length, const int∗pad, const int∗stride, const int∗dilation)
- Status **musa::dnn::Convolution::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::Convolution::Run** (Handle &h, Tensor &out, const Tensor &data, const Tensor &filter,
    Algorithm algo, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::Convolution::RunFusion** (Handle &h, Tensor &out, const Tensor &data, const Tensor
    &filter, const Tensor &bias, const Tensor &add, const FusedActivationDesc &act, Algorithm algo, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::Convolution::RunBwdData** (Handle &h, Tensor &out, const Tensor &data, const Tensor
    &filter, AlgorithmBwdData algo, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::Convolution::RunBwdFilter** (Handle &h, Tensor &out, const Tensor &data, const
    Tensor &filter, AlgorithmBwdFilter algo, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::Convolution::GetForwardWorkspaceSize** (Handle &h, size_t &size_in_bytes, const
    Tensor &out, const Tensor &data, const Tensor &filter, const Algorithm &algo) const
- Status **musa::dnn::Convolution::GetBackwardDataWorkspaceSize** (Handle &h, size_t &size_in_bytes,
    const Tensor &out, const Tensor &data, const Tensor &filter, const AlgorithmBwdData &algo) const
- Status **musa::dnn::Convolution::GetBackwardFilterWorkspaceSize** (Handle &h, size_t &size_in_bytes,
    const Tensor &out, const Tensor &data, const Tensor &filter, const AlgorithmBwdFilter &algo) const
- Status **musa::dnn::Convolution::GetRecommendForwardAlgorithm** (Handle &h, Algorithm &algo, const
    Tensor &out, const Tensor &data, const Tensor &filter) const
- Status **musa::dnn::Convolution::GetRecommendBackwardDataAlgorithm** (Handle &h, AlgorithmBwd←-
    Data &algo, const Tensor &out, const Tensor &data, const Tensor &filter) const
- Status **musa::dnn::Convolution::GetRecommendBackwardFilterAlgorithm** (Handle &h, AlgorithmBwd←-
    Filter &algo, const Tensor &out, const Tensor &data, const Tensor &filter) const
- Status **musa::dnn::BatchNorm::SetMode** (Mode m)
- Status **musa::dnn::BatchNorm::SetEpsilon** (double epsilon)


- Status **musa::dnn::BatchNorm::SetTraining** (bool is_training)
- Status **musa::dnn::BatchNorm::RunPure** (Handle &h, Tensor &out, const Tensor &in, const Tensor &final←-
    Mean, const Tensor &finalVariance, const Tensor &scale, const Tensor &bias) const
- Status **musa::dnn::BatchNorm::RunComposite** (Handle &h, Tensor &out, const Tensor &in, Tensor &acc←-
    Mean, Tensor &accVariance, Tensor &freshMean, Tensor &freshVariance, const Tensor &scale, const Tensor
    &bias, double momentum, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::BatchNorm::RunBwd** (Handle &h, Tensor &dx, Tensor &dm, Tensor &dv, Tensor &dg,
    Tensor &db, const Tensor &x, const Tensor &dy, const Tensor &m, const Tensor &v, const Tensor &g, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::BatchNorm::GetWorkspaceSizeComposite** (Handle &h, size_t &size_in_byte, Tensor
    &out, const Tensor &in, Tensor &accMean, Tensor &accVariance, Tensor &freshMean, Tensor &fresh←-
    Variance, const Tensor &scale, const Tensor &bias) const
- Status **musa::dnn::BatchNorm::GetWorkspaceSizeBwd** (Handle &h, size_t &size_in_byte, Tensor &dx,
    Tensor &dm, Tensor &dv, Tensor &dg, Tensor &db, const Tensor &x, const Tensor &dy, const Tensor &m,
    const Tensor &v, const Tensor &g) const
- Status **musa::dnn::Pooling::SetMode** (Mode m)
- Status **musa::dnn::Pooling::SetNdInfo** (std::initializer_list<int>kernel, std::initializer_list<int>pad,
    std::initializer_list<int>stride, std::initializer_list<int>dilation)
- Status **musa::dnn::Pooling::SetNdInfo** (int len, const int∗kernel, const int∗pad, const int∗stride, const int
    ∗dilation)
- Status **musa::dnn::Pooling::SetDivisor** (int divisor)
- Status **musa::dnn::Pooling::Run** (Handle &h, Tensor &out, const Tensor &in, Tensor &indices) const
- Status **musa::dnn::Pooling::RunBwd** (Handle &h, Tensor &out, const Tensor &in, Tensor &indices) const
- Status **musa::dnn::Pooling::RunMaxPool2dGradGrad** (Handle &h, Tensor &out, const Tensor &in, const
    Tensor &indices) const
- Status **musa::dnn::RNN::SetMode** (Mode m)
- Status **musa::dnn::RNN::SetFormat** (Format m)
- Status **musa::dnn::RNN::SetBiasMode** (BiasMode bm)
- Status **musa::dnn::RNN::SetDirection** (Direction d)
- Status **musa::dnn::RNN::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::RNN::RunUnpacked** (Handle &h, Tensor &out, Tensor &hout, Tensor &cout, const
    Tensor &in, const Tensor &hin, const Tensor &cin, const Tensor∗weight, Tensor &bwdHint, const Memory←-
    Maintainer &maintainer) const
- Status **musa::dnn::RNN::RunUnpackedBwd** (Handle &h, Tensor &in_grad, Tensor &hin_grad, Tensor
    &cin_grad, const Tensor∗weight_grad, const Tensor &in, const Tensor &hin, const Tensor &cin, const Tensor
    ∗weight, const Tensor &out, const Tensor &bwdHint, const Tensor &out_grad, const Tensor &hout_grad, const
    Tensor &cout_grad, const MemoryMaintainer &maintainer) const
- static Status **musa::dnn::RNN::RunPackPaddedSequence** (Handle &h, Tensor &packed, Tensor &batsize,
    const Tensor &padded, const Tensor &lengths, bool batch_first, bool enforce_sorted)
- static Status **musa::dnn::RNN::RunPadPackedSequence** (Handle &h, Tensor &padded, Tensor &lengths,
    const Tensor &packed, const Tensor &batsize, bool batch_first, float padding_value)
- Status **musa::dnn::DeformableConv::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::DeformableConv::SetGroups** (int groups)
- Status **musa::dnn::DeformableConv::SetDeformableGroups** (int deformable_groups)
- Status **musa::dnn::DeformableConv::SetNdInfo** (std::initializer_list<int>pad, std::initializer_list<int>
    stride, std::initializer_list<int>dilation)
- Status **musa::dnn::DeformableConv::SetNdInfo** (int length, const int∗pad, const int∗stride, const int
    ∗dilation)
- Status **musa::dnn::DeformableConv::GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out,
    const Tensor &input, const Tensor &weight) const
- Status **musa::dnn::DeformableConv::RunDeformableConv** (Handle &h, Tensor &out, const Tensor &in-
    put, const Tensor &weight, const Tensor &offset, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::DeformableConv::RunModulateDeformableConv** (Handle &h, Tensor &out, const
    Tensor &input, const Tensor &weight, const Tensor &offset, const Tensor &mask, const MemoryMaintainer
    &maintainer) const
- Status **musa::dnn::Dropout::SetP** (double p)


- Status **musa::dnn::Dropout::SetScale** (double scale)
- Status **musa::dnn::Dropout::SetSeed** (uint64_t seed)
- Status **musa::dnn::Dropout::SetOffset** (uint64_t offset)
- Status **musa::dnn::Dropout::RunDropout** (Handle &h, Tensor &out, const Tensor &input, Tensor &mask)
    const
- Status **musa::dnn::Dropout::RunDropoutBwd** (Handle &h, Tensor &out, const Tensor &grad, Tensor
    &mask) const
- Status **musa::dnn::Pad::SetMode** (Mode mode)
- Status **musa::dnn::Pad::SetValue** (double value)
- Status **musa::dnn::Pad::SetValue** (int64_t value)
- Status **musa::dnn::Pad::SetPaddingInfo** (std::initializer_list<int>pad)
- Status **musa::dnn::Pad::SetPaddingInfo** (int length, const int∗pad)
- Status **musa::dnn::Pad::Run** (Handle &h, Tensor &out, const Tensor &input) const
- Status **musa::dnn::Softmax::SetDim** (int d)
- Status **musa::dnn::Softmax::SetAlgorithm** (Algorithm a)
- Status **musa::dnn::Softmax::SetMode** (Mode m)
- Status **musa::dnn::Softmax::Run** (Handle &h, Tensor &out, const Tensor &input) const
- Status **musa::dnn::Softmax::RunBwd** (Handle &h, Tensor &gradInput, const Tensor &output, const Tensor
    &gradOutput) const
- Status **musa::dnn::LayerNorm::SetEpsilon** (double eps)
- Status **musa::dnn::LayerNorm::SetAxis** (std::initializer_list<int>axes)
- Status **musa::dnn::LayerNorm::SetAxis** (size_t length, const int∗axes)
- Status **musa::dnn::LayerNorm::Run** (Handle &h, Tensor &out, Tensor &mean, Tensor &inv_var, const
    Tensor &in, const Tensor &gamma, const Tensor &beta) const
- Status **musa::dnn::LayerNorm::RunBwd** (Handle &h, Tensor &dX, Tensor &dGamma, Tensor &dBeta,
    const Tensor &dY, const Tensor &in, const Tensor &mean, const Tensor &invVar, const Tensor &gamma,
    const MemoryMaintainer &maintainer) const
- Status **musa::dnn::LayerNorm::GetBackwardWorkspaceSize** (Handle &h, size_t size_in_byte, Tensor
    &dX, Tensor &dGamma, Tensor &dBeta, const Tensor &dY, const Tensor &in, const Tensor &mean, const
    Tensor &invVar, const Tensor &gamma) const
- Status **musa::dnn::RMSNorm::SetEpsilon** (double eps)
- Status **musa::dnn::RMSNorm::SetAxis** (std::initializer_list<int>axes)
- Status **musa::dnn::RMSNorm::SetAxis** (size_t length, const int∗axes)
- Status **musa::dnn::RMSNorm::Run** (Handle &h, Tensor &out, Tensor &mean, const Tensor &in, const
    Tensor &gamma) const
- Status **musa::dnn::GroupNorm::SetEpsilon** (double eps)
- Status **musa::dnn::GroupNorm::SetAxis** (const int axis)
- Status **musa::dnn::GroupNorm::SetGroup** (const int g)
- Status **musa::dnn::GroupNorm::Run** (Handle &h, Tensor &out, Tensor &mean, Tensor &invVar, const
    Tensor &in, const Tensor &gamma, const Tensor &beta) const
- Status **musa::dnn::WeightNorm::SetEpsilon** (double epsilon)
- Status **musa::dnn::WeightNorm::SetAxis** (std::initializer_list<int>axes)
- Status **musa::dnn::WeightNorm::SetAxis** (size_t length, const int∗axes)
- Status **musa::dnn::WeightNorm::Run** (Handle &h, Tensor &out, const Tensor &weightV, const Tensor
    &weightG) const
- Status **musa::dnn::Glu::SetAxis** (int axis)
- Status **musa::dnn::Glu::Run** (Handle &h, Tensor &out, const Tensor &in) const
- Status **musa::dnn::Scatter::SetMode** (Mode mode)
- Status **musa::dnn::Scatter::Run** (Handle &h, Tensor &self, const Tensor &idx, const Tensor &update, int
    dim, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::Scatter::Run** (Handle &h, Tensor &out, const Tensor &self, const Tensor &idx, const
    Tensor &update, int dim, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::ScatterND::SetMode** (Mode mode)
- Status **musa::dnn::ScatterND::Run** (Handle &h, Tensor &self, const Tensor &idx, const Tensor &update,
    const MemoryMaintainer &maintainer) const


- Status **musa::dnn::NLLLoss::SetReductionMode** (Mode mode)
- Status **musa::dnn::NLLLoss::SetIgnoreIndex** (int index)
- Status **musa::dnn::NLLLoss::Run** (Handle &h, Tensor &out, Tensor &totalWeight, const Tensor &in, const
    Tensor &target, const Tensor &weight, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::NLLLoss::RunBwd** (Handle &h, Tensor &out, const Tensor &grad, const Tensor &target,
    const Tensor &weight, const Tensor &totalWeight, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::KLDivLoss::SetReductionMode** (Mode mode)
- Status **musa::dnn::KLDivLoss::SetLogTarget** (bool log_target)
- Status **musa::dnn::KLDivLoss::Run** (Handle &h, Tensor &out, Tensor &input, const Tensor &target, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::KLDivLoss::RunBwd** (Handle &h, Tensor &out, const Tensor &grad, const Tensor &in-
    put, const Tensor &target) const
- Status **musa::dnn::L2Loss::Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer
    &maintainer) const
- Status **musa::dnn::LocalResponseNorm::SetMode** (Mode mode)
- Status **musa::dnn::LocalResponseNorm::SetParam** (unsigned n, double alpha, double beta, double k)
- Status **musa::dnn::LocalResponseNorm::Run** (Handle &h, Tensor &y, Tensor &scales, const Tensor &x)
    const
- Status **musa::dnn::LocalResponseNorm::RunBwd** (Handle &h, Tensor &dx, const Tensor &y, const Tensor
    &dy, const Tensor &x, const Tensor &scales) const
- Status **musa::dnn::MultiHeadAttention::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::MultiHeadAttention::SetEmbedDim** (int embed_dim)
- Status **musa::dnn::MultiHeadAttention::SetKDim** (int k_dim)
- Status **musa::dnn::MultiHeadAttention::SetVDim** (int v_dim)
- Status **musa::dnn::MultiHeadAttention::SetHeadsNum** (int num_heads)
- Status **musa::dnn::MultiHeadAttention::SetBatchFirst** (bool batch_first)
- Status **musa::dnn::MultiHeadAttention::SetDropoutP** (double p)
- Status **musa::dnn::MultiHeadAttention::SetTraining** (bool is_training)
- Status **musa::dnn::MultiHeadAttention::SetMaskMode** (bool use_pad_mask)
- Status **musa::dnn::MultiHeadAttention::SetTransLinearWeigth** (bool trans_weight)
- Status **musa::dnn::MultiHeadAttention::SetKeyFormat** (bool key_format_bhds)
- Status **musa::dnn::MultiHeadAttention::GetFwdBufferSize** (Handle &h, size_t &workspace_size_in_←-
    bytes, size_t &bwd_reserve_size_in_bytes, const Tensor &q, const Tensor &k, const Tensor &v) const
- Status **musa::dnn::MultiHeadAttention::GetFwdBufferSize** (Handle &h, size_t &workspace_size_in_←-
    bytes, size_t &bwd_reserve_size_in_bytes, const Tensor &in) const
- Status **musa::dnn::MultiHeadAttention::GetBwdBufferSize** (Handle &h, size_t &workspace_size_in_←-
    bytes, const Tensor &q, const Tensor &k, const Tensor &v) const
- Status **musa::dnn::MultiHeadAttention::GetBwdBufferSize** (Handle &h, size_t &workspace_size_in_←-
    bytes, const Tensor &in) const
- Status **musa::dnn::MultiHeadAttention::Run** (Handle &h, Tensor &out, Tensor &attn_probs, const Tensor
    &q, const Tensor &k, const Tensor &v, const Tensor &weight_q, const Tensor &weight_k, const Tensor
    &weight_v, const Tensor &weight_o, const Tensor &bias_q, const Tensor &bias_k, const Tensor &bias_←-
    v, const Tensor &bias_o, const Tensor &mask, Tensor &bwd_reserve, const MemoryMaintainer &maintainer)
    const
- Status **musa::dnn::MultiHeadAttention::Run** (Handle &h, Tensor &out, Tensor &attn_probs, const Tensor
    &in, const Tensor &weight, const Tensor &weight_o, const Tensor &bias, const Tensor &bias_o, const Tensor
    &mask, Tensor &bwd_reserve, const MemoryMaintainer &maintainer) const
- Status **musa::dnn::MultiHeadAttention::RunBwd** (Handle &h, Tensor &in_grad, Tensor &weight_grad,
    Tensor &weight_o_grad, Tensor &bias_grad, Tensor &bias_o_grad, const Tensor &out_grad, const Tensor
    &attn_probs, const Tensor &in, const Tensor &weight, const Tensor &weight_o, const Tensor &bwd_reserve,
    const MemoryMaintainer &maintainer) const
- Status **musa::dnn::MultiHeadAttention::RunBwd** (Handle &h, Tensor &q_grad, Tensor &k_grad, Tensor
    &v_grad, Tensor &weight_q_grad, Tensor &weight_k_grad, Tensor &weight_v_grad, Tensor &weight_o_←-
    grad, Tensor &bias_q_grad, Tensor &bias_k_grad, Tensor &bias_v_grad, Tensor &bias_o_grad, const Tensor
    &out_grad, const Tensor &attn_probs, const Tensor &q, const Tensor &k, const Tensor &v, const Tensor
    &weight_q, const Tensor &weight_k, const Tensor &weight_v, const Tensor &weight_o, const Tensor &bwd←-
    _reserve, const MemoryMaintainer &maintainer) const


- Status **musa::dnn::ScaledDotProductAttention::SetComputeMode** (ComputeMode mode)
- Status **musa::dnn::ScaledDotProductAttention::SetEmbedDim** (int embed_dim)
- Status **musa::dnn::ScaledDotProductAttention::SetHeadsNum** (int num_heads)
- Status **musa::dnn::ScaledDotProductAttention::SetDropoutP** (double p)
- Status **musa::dnn::ScaledDotProductAttention::SetTraining** (bool is_training)
- Status **musa::dnn::ScaledDotProductAttention::SetMaskMode** (bool use_pad_mask)
- Status **musa::dnn::ScaledDotProductAttention::SetKeyFormat** (bool key_format_bhds)
- Status **musa::dnn::ScaledDotProductAttention::SetCausal** (bool is_causal)
- Status **musa::dnn::ScaledDotProductAttention::RunFlash** (Handle &h, Tensor &out, Tensor &logsumexp,
    const Tensor &q, const Tensor &k, const Tensor &v, const Tensor &mask, Tensor &dropout_mask, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::ScaledDotProductAttention::RunFlashBwd** (Handle &h, Tensor &q_grad, Tensor
    &k_grad, Tensor &v_grad, const Tensor &out_grad, const Tensor &q, const Tensor &k, const Tensor &v,
    const Tensor &mask, const Tensor &out, const Tensor &logsumexp, const Tensor &dropout_mask, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::ScaledDotProductAttention::RunMath** (Handle &h, Tensor &out, Tensor &attn_probs,
    const Tensor &q, const Tensor &k, const Tensor &v, const Tensor &mask, Tensor &dropout_mask, const
    MemoryMaintainer &maintainer) const
- Status **musa::dnn::ScaledDotProductAttention::RunMathBwd** (Handle &h, Tensor &q_grad, Tensor &k←-
    _grad, const Tensor &v_grad, const Tensor &attn_probs_grad, const Tensor &out_grad, const Tensor &q,
    const Tensor &k, const Tensor &v, const Tensor &attn_probs, const Tensor &dropout_mask, const Memory←-
    Maintainer &maintainer) const
- Status **musa::dnn::CTCLoss::SetBlank** (int64_t blank)
- Status **musa::dnn::CTCLoss::SetZeroInfinity** (bool zeroInfinity)
- Status **musa::dnn::CTCLoss::SetMaxTargetLength** (int64_t maxTargetLength)
- Status **musa::dnn::CTCLoss::Run** (Handle &h, Tensor &out, Tensor &alpha, const Tensor &input, const
    Tensor &targets, const Tensor &inputLengths, const Tensor &targetLength) const
- Status **musa::dnn::CTCLoss::RunBwd** (Handle &h, Tensor &out, const Tensor &grad, const Tensor &log←-
    Probs, const Tensor &targets, const Tensor &inputLengths, const Tensor &targetLength, const Tensor &loss,
    const Tensor &alpha, const MemoryMaintainer &maintainer) const

Variables​

- Mode **musa::dnn::Convolution::FusedActivationDesc::mode** = Mode::IDENTITY
- std::array<double, 3> **musa::dnn::Convolution::FusedActivationDesc::params**

4.4.1 Detailed Description​

This entity provides a wide range of classes and functions for building neural networks, such as convolution, pooling, activation functions, and many others.

4.5 Version​

Functions​

  • MUDNN_EXPORT void musa::dnn::PrintVersionInfo (std::ostream &os)
  • MUDNN_EXPORT size_t musa::dnn::GetVersion ()

4.5.1 Detailed Description​

This section describes the version of the muDNN library.

5 Class Documentation​

5.1 musa::dnn::BatchMatMul Class Reference​

Inheritance diagram for musa::dnn::BatchMatMul:

musa::dnn::BatchMatMul
musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

  • enum class ComputeMode

Public Member Functions​

  • Status SetComputeMode (ComputeMode mode)
  • Status SetTranspose (bool left, bool right)
  • Status SetSplitK (bool split_k)
  • Status SetAlpha (double alpha)
  • Status SetBeta (double beta)
  • Status SetGamma (double gamma)
  • Status GetWorkspaceSize (Handle &h, size_t &size_in_bytes, Tensor &out, const Tensor &l, const Tensor &r)
  • Status Run (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const MemoryMaintainer &main- tainer=nullptr) const
  • Status RunWithBiasAdd (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const Tensor &bias, const MemoryMaintainer &maintainer=nullptr) const
  • Status Run (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const int64_t batch, const int64_t m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const int64_t ldc, const int64_t stride_a, const int64_t stride_b, const int64_t stride_c, const MemoryMaintainer &maintainer=nullptr) const
  • Status RunWithBiasAdd (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const Tensor &bias, const int64_t batch, const int64_t m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const int64_t ldc, const int64_t stride_a, const int64_t stride_b, const int64_t stride_c, const MemoryMaintainer &maintainer=nullptr) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.2 musa::dnn::BatchNorm Class Reference​

Inheritance diagram for musa::dnn::BatchNorm:

musa::dnn::BatchNorm​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetEpsilon (double epsilon)
  • Status SetTraining (bool is_training)
  • Status RunPure (Handle &h, Tensor &out, const Tensor &in, const Tensor &finalMean, const Tensor &final←- Variance, const Tensor &scale, const Tensor &bias) const
  • Status RunComposite (Handle &h, Tensor &out, const Tensor &in, Tensor &accMean, Tensor &accVariance, Tensor &freshMean, Tensor &freshVariance, const Tensor &scale, const Tensor &bias, double momentum, const MemoryMaintainer &maintainer) const
  • Status RunBwd (Handle &h, Tensor &dx, Tensor &dm, Tensor &dv, Tensor &dg, Tensor &db, const Tensor &x, const Tensor &dy, const Tensor &m, const Tensor &v, const Tensor &g, const MemoryMaintainer &maintainer) const
  • Status GetWorkspaceSizeComposite (Handle &h, size_t &size_in_byte, Tensor &out, const Tensor &in, Tensor &accMean, Tensor &accVariance, Tensor &freshMean, Tensor &freshVariance, const Tensor &scale, const Tensor &bias) const
  • Status GetWorkspaceSizeBwd (Handle &h, size_t &size_in_byte, Tensor &dx, Tensor &dm, Tensor &dv, Tensor &dg, Tensor &db, const Tensor &x, const Tensor &dy, const Tensor &m, const Tensor &v, const Tensor &g) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.3 musa::dnn::Binary Class Reference​

Inheritance diagram for musa::dnn::Binary:

musa::dnn::Binary​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetAlpha (double alpha)
  • Status SetAlpha (int64_t alpha)
  • Status SetAlpha (const void∗alpha)
  • Status SetBeta (double beta)
  • Status SetBeta (int64_t beta)
  • Status SetBeta (const void∗beta)
  • Status Run (Handle &h, Tensor &out, const Tensor &l, const Tensor &r) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.4 musa::dnn::Concat Class Reference​

Inheritance diagram for musa::dnn::Concat:

musa::dnn::Concat​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetAxis (int axis)
  • Status Run (Handle &h, Tensor &out, int num_input, const Tensor∗ins) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.5 musa::dnn::Convolution Class Reference​

Inheritance diagram for musa::dnn::Convolution:

musa::dnn::Convolution​

musa::dnn::ImplBase musa::dnn::MatrixBase

Classes​

  • struct FusedActivationDesc

Public Types​

- enum class **Algorithm** { **MUDNN_ITEM** }
- enum class **AlgorithmBwdData** { **MUDNN_ITEM** }
- enum class **AlgorithmBwdFilter** { **MUDNN_ITEM** }
- enum class **ComputeMode**

Public Member Functions​

- Status **SetGroups** (int group_num)
- Status **SetNdInfo** (std::initializer_list<int>pad, std::initializer_list<int>stride, std::initializer_list<int>
    dilation)
- Status **SetNdInfo** (int length, const int∗pad, const int∗stride, const int∗dilation)
- Status **SetComputeMode** (ComputeMode mode)
- Status **Run** (Handle &h, Tensor &out, const Tensor &data, const Tensor &filter, Algorithm algo, const
    MemoryMaintainer &maintainer) const
- Status **RunFusion** (Handle &h, Tensor &out, const Tensor &data, const Tensor &filter, const Tensor &bias,
    const Tensor &add, const FusedActivationDesc &act, Algorithm algo, const MemoryMaintainer &maintainer)
    const
- Status **RunBwdData** (Handle &h, Tensor &out, const Tensor &data, const Tensor &filter, AlgorithmBwdData
    algo, const MemoryMaintainer &maintainer) const
- Status **RunBwdFilter** (Handle &h, Tensor &out, const Tensor &data, const Tensor &filter, AlgorithmBwdFilter
    algo, const MemoryMaintainer &maintainer) const
- Status **GetForwardWorkspaceSize** (Handle &h, size_t &size_in_bytes, const Tensor &out, const Tensor
    &data, const Tensor &filter, const Algorithm &algo) const
- Status **GetBackwardDataWorkspaceSize** (Handle &h, size_t &size_in_bytes, const Tensor &out, const
    Tensor &data, const Tensor &filter, const AlgorithmBwdData &algo) const
- Status **GetBackwardFilterWorkspaceSize** (Handle &h, size_t &size_in_bytes, const Tensor &out, const
    Tensor &data, const Tensor &filter, const AlgorithmBwdFilter &algo) const
- Status **GetRecommendForwardAlgorithm** (Handle &h, Algorithm &algo, const Tensor &out, const Tensor
    &data, const Tensor &filter) const
- Status **GetRecommendBackwardDataAlgorithm** (Handle &h, AlgorithmBwdData &algo, const Tensor &out,
    const Tensor &data, const Tensor &filter) const
- Status **GetRecommendBackwardFilterAlgorithm** (Handle &h, AlgorithmBwdFilter &algo, const Tensor
    &out, const Tensor &data, const Tensor &filter) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.6 musa::dnn::CTCLoss Class Reference​

Inheritance diagram for musa::dnn::CTCLoss:

musa::dnn::CTCLoss​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetBlank (int64_t blank)
  • Status SetZeroInfinity (bool zeroInfinity)
  • Status SetMaxTargetLength (int64_t maxTargetLength)
  • Status Run (Handle &h, Tensor &out, Tensor &alpha, const Tensor &input, const Tensor &targets, const Tensor &inputLengths, const Tensor &targetLength) const
  • Status RunBwd (Handle &h, Tensor &out, const Tensor &grad, const Tensor &logProbs, const Tensor &tar- gets, const Tensor &inputLengths, const Tensor &targetLength, const Tensor &loss, const Tensor &alpha, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.7 musa::dnn::Cum Class Reference​

Inheritance diagram for musa::dnn::Cum:

musa::dnn::Cum​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetDim (int dim)
  • Status SetMode (Mode m)
  • Status Run (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.8 musa::dnn::Cumsum Class Reference​

Inheritance diagram for musa::dnn::Cumsum:

musa::dnn::Cumsum​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetDim (int dim)
  • Status Run (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.9 musa::dnn::DebugInfo Class Reference​

Public Types​

- enum class **Severity** { **MUDNN_ITEM** }

Public Attributes​

  • uint32_t version
  • Severity severity
  • uint32_t time_sec
  • uint32_t time_usec
  • uint32_t time_delta
  • uint64_t tid
  • int32_t device_id
  • const Handle∗ handle

The documentation for this class was generated from the following file:

  • mudnn_base.h

5.10 musa::dnn::DeformableConv Class Reference​

Inheritance diagram for musa::dnn::DeformableConv:

musa::dnn::DeformableConv​

musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

- enum class **Algorithm** { **MUDNN_ITEM** }
- enum class **ComputeMode**

Public Member Functions​

- Status **SetComputeMode** (ComputeMode mode)
- Status **SetGroups** (int groups)
- Status **SetDeformableGroups** (int deformable_groups)
- Status **SetNdInfo** (std::initializer_list<int>pad, std::initializer_list<int>stride, std::initializer_list<int>
    dilation)
- Status **SetNdInfo** (int length, const int∗pad, const int∗stride, const int∗dilation)
- Status **GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out, const Tensor &input, const
    Tensor &weight) const
- Status **RunDeformableConv** (Handle &h, Tensor &out, const Tensor &input, const Tensor &weight, const
    Tensor &offset, const MemoryMaintainer &maintainer) const
- Status **RunModulateDeformableConv** (Handle &h, Tensor &out, const Tensor &input, const Tensor &weight,
    const Tensor &offset, const Tensor &mask, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.11 musa::dnn::Dot Class Reference​

Inheritance diagram for musa::dnn::Dot:

musa::dnn::Dot​

musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

  • enum class ComputeMode

Public Member Functions​

  • Status SetComputeMode (ComputeMode mode)
  • Status SetAxis (int axis)
  • Status SetAxes (int axis_l, int axis_r)
  • Status SetSplitK (bool split_k)
  • Status GetWorkspaceSize (Handle &h, size_t &size_in_bytes, Tensor &out, const Tensor &l, const Tensor &r)
  • Status Run (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const MemoryMaintainer &main- tainer=nullptr) const
  • Status RunWithBiasAdd (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const Tensor &bias, const MemoryMaintainer &maintainer=nullptr) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.12 musa::dnn::Dropout Class Reference​

Inheritance diagram for musa::dnn::Dropout:

musa::dnn::Dropout​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetP (double p)
  • Status SetScale (double scale)
  • Status SetSeed (uint64_t seed)
  • Status SetOffset (uint64_t offset)
  • Status RunDropout (Handle &h, Tensor &out, const Tensor &input, Tensor &mask) const
  • Status RunDropoutBwd (Handle &h, Tensor &out, const Tensor &grad, Tensor &mask) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.13 musa::dnn::Fill Class Reference​

Inheritance diagram for musa::dnn::Fill:

musa::dnn::Fill​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetValue (double value)
  • Status SetValue (int64_t value)
  • Status Run (Handle &h, Tensor &out) const
  • Status Run (Handle &h, Tensor &out, Tensor &mask) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.14 musa::dnn::Convolution::FusedActivationDesc Struct Reference​

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetCoef (double activAlpha, double activBeta, double activGamma)

Public Attributes​

- Mode **mode** = Mode::IDENTITY
- std::array<double, 3> **params**

The documentation for this struct was generated from the following file:

  • mudnn_nn.h

5.15 musa::dnn::GatherX Class Reference​

Inheritance diagram for musa::dnn::GatherX:

musa::dnn::GatherX​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetAxis (int axis)
  • Status SetBatchDims (int batch_dims)
  • Status Run (Handle &h, Tensor &out, const Tensor &index, const Tensor &in) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.16 musa::dnn::Glu Class Reference​

Inheritance diagram for musa::dnn::Glu:

musa::dnn::Glu​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetAxis (int axis)
  • Status Run (Handle &h, Tensor &out, const Tensor &in) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.17 musa::dnn::GroupNorm Class Reference​

Inheritance diagram for musa::dnn::GroupNorm:

musa::dnn::GroupNorm​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetEpsilon (double eps)
  • Status SetAxis (const int axis)
  • Status SetGroup (const int g)
  • Status Run (Handle &h, Tensor &out, Tensor &mean, Tensor &invVar, const Tensor &in, const Tensor &gamma, const Tensor &beta) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.18 musa::dnn::Handle Class Reference​

Inheritance diagram for musa::dnn::Handle:

musa::dnn::Handle​

musa::dnn::ImplBase​

Public Member Functions​

  • Handle (int device_id)
  • int GetDeviceId () const
  • Status SetStream (musaStream_t stream)
  • musaStream_t GetStream () const
  • Status SetAllowTF32 (bool allow_tf32)
  • bool GetAllowTF32 () const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_base.h

5.19 musa::dnn::ImplBase Class Reference​

Inheritance diagram for musa::dnn::ImplBase:

musa::dnn::ImplBase
musa::dnn::BatchMatMul
musa::dnn::BatchNorm
musa::dnn::Binary
musa::dnn::CTCLoss
musa::dnn::Concat
musa::dnn::Convolution
musa::dnn::Cum
musa::dnn::Cumsum
musa::dnn::DeformableConv
musa::dnn::Dot
musa::dnn::Dropout
musa::dnn::Fill
musa::dnn::GatherX
musa::dnn::Glu
musa::dnn::GroupNorm
musa::dnn::Handle
musa::dnn::Interpolate
musa::dnn::KLDivLoss
musa::dnn::L2Loss
musa::dnn::LayerNorm
musa::dnn::LocalResponseNorm
musa::dnn::MaskedScatter
musa::dnn::MaskedSelect
musa::dnn::MatMul
musa::dnn::MultiHeadAttention
musa::dnn::NLLLoss
musa::dnn::Nonzero
musa::dnn::Pad
musa::dnn::Permute
musa::dnn::Pooling
musa::dnn::RMSNorm
musa::dnn::RNN
musa::dnn::Reduce
musa::dnn::ScaledDotProductAttention
musa::dnn::Scan
musa::dnn::Scatter
musa::dnn::ScatterND
musa::dnn::Softmax
musa::dnn::Sort
musa::dnn::SortByKey
musa::dnn::Tensor
musa::dnn::Ternary
musa::dnn::TopK
musa::dnn::Unary
musa::dnn::Unfold
musa::dnn::Unique
musa::dnn::WeightNorm

Public Member Functions​

  • void∗ GetImpl ()
  • const void∗ GetImpl () const

Protected Member Functions​

  • ImplBase (void∗impl)
  • ImplBase (const ImplBase &)=delete
  • ImplBase (ImplBase &&)=delete
  • ImplBase & operator= (const ImplBase &)=delete
  • ImplBase & operator= (ImplBase &&)=delete

Protected Attributes​

  • void∗ impl_

The documentation for this class was generated from the following file:

  • mudnn_base.h

5.20 musa::dnn::Interpolate Class Reference​

Inheritance diagram for musa::dnn::Interpolate:

musa::dnn::Interpolate​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

- Status **SetMode** (Mode m)
- Status **SetScaleInfo** (std::initializer_list<float>scale)
- Status **SetScaleInfo** (int length, float∗scale)
- Status **SetAlignCorners** (bool align_corners)
- Status **Run** (Handle &h, Tensor &out, const Tensor &in) const
- Status **RunBackward** (Handle &h, Tensor &out, const Tensor &in) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_image.h

5.21 musa::dnn::KLDivLoss Class Reference​

Inheritance diagram for musa::dnn::KLDivLoss:

musa::dnn::KLDivLoss​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetReductionMode (Mode mode)
  • Status SetLogTarget (bool log_target)
  • Status Run (Handle &h, Tensor &out, Tensor &input, const Tensor &target, const MemoryMaintainer &main- tainer) const
  • Status RunBwd (Handle &h, Tensor &out, const Tensor &grad, const Tensor &input, const Tensor &target) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.22 musa::dnn::L2Loss Class Reference​

Inheritance diagram for musa::dnn::L2Loss:

musa::dnn::L2Loss​

musa::dnn::ImplBase

Public Member Functions​

  • Status Run (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.23 musa::dnn::LayerNorm Class Reference​

Inheritance diagram for musa::dnn::LayerNorm:

musa::dnn::LayerNorm​

musa::dnn::ImplBase

Public Member Functions​

- Status **SetEpsilon** (double eps)
- Status **SetAxis** (std::initializer_list<int>axes)
- Status **SetAxis** (size_t length, const int∗axes)
- Status **Run** (Handle &h, Tensor &out, Tensor &mean, Tensor &inv_var, const Tensor &in, const Tensor
    &gamma, const Tensor &beta) const
- Status **RunBwd** (Handle &h, Tensor &dX, Tensor &dGamma, Tensor &dBeta, const Tensor &dY, const Tensor
    &in, const Tensor &mean, const Tensor &invVar, const Tensor &gamma, const MemoryMaintainer &main-
    tainer) const
- Status **GetBackwardWorkspaceSize** (Handle &h, size_t size_in_byte, Tensor &dX, Tensor &dGamma,
    Tensor &dBeta, const Tensor &dY, const Tensor &in, const Tensor &mean, const Tensor &invVar, const Tensor
    &gamma) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.24 musa::dnn::LocalResponseNorm Class Reference​

Inheritance diagram for musa::dnn::LocalResponseNorm:

musa::dnn::LocalResponseNorm​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode mode)
  • Status SetParam (unsigned n, double alpha, double beta, double k)
  • Status Run (Handle &h, Tensor &y, Tensor &scales, const Tensor &x) const
  • Status RunBwd (Handle &h, Tensor &dx, const Tensor &y, const Tensor &dy, const Tensor &x, const Tensor &scales) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.25 musa::dnn::MaskedScatter Class Reference​

Inheritance diagram for musa::dnn::MaskedScatter:

musa::dnn::MaskedScatter​

musa::dnn::ImplBase

Public Member Functions​

  • Status Run (Handle &h, Tensor &out, const Tensor &mask, const Tensor &source, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.26 musa::dnn::MaskedSelect Class Reference​

Inheritance diagram for musa::dnn::MaskedSelect:

musa::dnn::MaskedSelect​

musa::dnn::ImplBase

Public Member Functions​

  • Status Run (Handle &h, Tensor &out, const Tensor &input, const Tensor &mask, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.27 musa::dnn::MatMul Class Reference​

Inheritance diagram for musa::dnn::MatMul:

musa::dnn::MatMul​

musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

  • enum class ComputeMode

Public Member Functions​

  • Status SetComputeMode (ComputeMode mode)
  • Status SetTranspose (bool left, bool right)
  • Status SetSplitK (bool split_k)
  • Status SetAlpha (double alpha)
  • Status SetBeta (double beta)
  • Status SetGamma (double gamma)
  • Status GetWorkspaceSize (Handle &h, size_t &size_in_bytes, Tensor &out, const Tensor &l, const Tensor &r)
  • Status Run (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const MemoryMaintainer &main- tainer=nullptr) const
  • Status RunWithBiasAdd (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const Tensor &bias, const MemoryMaintainer &maintainer=nullptr) const
  • Status Run (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const int64_t m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const int64_t ldc, const MemoryMaintainer &maintainer=nullptr) const
  • Status RunWithBiasAdd (Handle &h, Tensor &out, const Tensor &l, const Tensor &r, const Tensor &bias, const int64_t m, const int64_t n, const int64_t k, const int64_t lda, const int64_t ldb, const int64_t ldc, const MemoryMaintainer &maintainer=nullptr) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.28 musa::dnn::MatrixBase Class Reference​

Inheritance diagram for musa::dnn::MatrixBase:

musa::dnn::MatrixBase​

musa::dnn::BatchMatMul
musa::dnn::Convolution
musa::dnn::DeformableConv
musa::dnn::Dot
musa::dnn::MatMul

musa::dnn::MultiHeadAttention​

musa::dnn::RNN
musa::dnn::ScaledDotProductAttention

Protected Types​

- enum class **ComputeMode** { **MUDNN_ITEM** }

The documentation for this class was generated from the following file:

  • mudnn_base.h

5.29 musa::dnn::MultiHeadAttention Class Reference​

Inheritance diagram for musa::dnn::MultiHeadAttention:

musa::dnn::MultiHeadAttention
musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

  • enum class ComputeMode

Public Member Functions​

  • Status SetComputeMode (ComputeMode mode)
  • Status SetEmbedDim (int embed_dim)
  • Status SetKDim (int k_dim)
  • Status SetVDim (int v_dim)
  • Status SetHeadsNum (int num_heads)
  • Status SetBatchFirst (bool batch_first)
  • Status SetDropoutP (double p)
  • Status SetTraining (bool is_training)
  • Status SetMaskMode (bool use_pad_mask)
  • Status SetTransLinearWeigth (bool trans_weight)
  • Status SetKeyFormat (bool key_format_bhds)
  • Status GetFwdBufferSize (Handle &h, size_t &workspace_size_in_bytes, size_t &bwd_reserve_size_in_←- bytes, const Tensor &q, const Tensor &k, const Tensor &v) const
  • Status GetFwdBufferSize (Handle &h, size_t &workspace_size_in_bytes, size_t &bwd_reserve_size_in_←- bytes, const Tensor &in) const
  • Status GetBwdBufferSize (Handle &h, size_t &workspace_size_in_bytes, const Tensor &q, const Tensor &k, const Tensor &v) const
  • Status GetBwdBufferSize (Handle &h, size_t &workspace_size_in_bytes, const Tensor &in) const
  • Status Run (Handle &h, Tensor &out, Tensor &attn_probs, const Tensor &q, const Tensor &k, const Tensor &v, const Tensor &weight_q, const Tensor &weight_k, const Tensor &weight_v, const Tensor &weight_o, const Tensor &bias_q, const Tensor &bias_k, const Tensor &bias_v, const Tensor &bias_o, const Tensor &mask, Tensor &bwd_reserve, const MemoryMaintainer &maintainer) const
  • Status Run (Handle &h, Tensor &out, Tensor &attn_probs, const Tensor &in, const Tensor &weight, const Tensor &weight_o, const Tensor &bias, const Tensor &bias_o, const Tensor &mask, Tensor &bwd_reserve, const MemoryMaintainer &maintainer) const
  • Status RunBwd (Handle &h, Tensor &in_grad, Tensor &weight_grad, Tensor &weight_o_grad, Tensor &bias_grad, Tensor &bias_o_grad, const Tensor &out_grad, const Tensor &attn_probs, const Tensor &in, const Tensor &weight, const Tensor &weight_o, const Tensor &bwd_reserve, const MemoryMaintainer &main- tainer) const
  • Status RunBwd (Handle &h, Tensor &q_grad, Tensor &k_grad, Tensor &v_grad, Tensor &weight_q_grad, Tensor &weight_k_grad, Tensor &weight_v_grad, Tensor &weight_o_grad, Tensor &bias_q_grad, Tensor &bias_k_grad, Tensor &bias_v_grad, Tensor &bias_o_grad, const Tensor &out_grad, const Tensor &attn_←- probs, const Tensor &q, const Tensor &k, const Tensor &v, const Tensor &weight_q, const Tensor &weight←- _k, const Tensor &weight_v, const Tensor &weight_o, const Tensor &bwd_reserve, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.30 musa::dnn::NLLLoss Class Reference​

Inheritance diagram for musa::dnn::NLLLoss:

musa::dnn::NLLLoss​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetReductionMode (Mode mode)
  • Status SetIgnoreIndex (int index)
  • Status Run (Handle &h, Tensor &out, Tensor &totalWeight, const Tensor &in, const Tensor &target, const Tensor &weight, const MemoryMaintainer &maintainer) const
  • Status RunBwd (Handle &h, Tensor &out, const Tensor &grad, const Tensor &target, const Tensor &weight, const Tensor &totalWeight, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.31 musa::dnn::Nonzero Class Reference​

Inheritance diagram for musa::dnn::Nonzero:

musa::dnn::Nonzero​

musa::dnn::ImplBase

Public Member Functions​

  • Status Run (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.32 musa::dnn::Pad Class Reference​

Inheritance diagram for musa::dnn::Pad:

musa::dnn::Pad​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

- Status **SetMode** (Mode mode)
- Status **SetValue** (double value)
- Status **SetValue** (int64_t value)
- Status **SetPaddingInfo** (std::initializer_list<int>pad)
- Status **SetPaddingInfo** (int length, const int∗pad)
- Status **Run** (Handle &h, Tensor &out, const Tensor &input) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.33 musa::dnn::Permute Class Reference​

Inheritance diagram for musa::dnn::Permute:

musa::dnn::Permute​

musa::dnn::ImplBase

Public Member Functions​

  • Status Run (Handle &h, Tensor &out, const Tensor &in) const
  • Status SetSrcOffset (int64_t s_offset)
  • Status SetDstOffset (int64_t d_offset)
  • Status ConfigDimStrideForSlice (Tensor &out, Tensor &in, const int64_t∗start)
  • Status ConfigDimStrideForSlice (Tensor &out, Tensor &in, const int64_t∗start, const int64_t∗stride)

Static Public Member Functions​

- static Status **ConfigDimStride** (Tensor &out, Tensor &in, std::initializer_list<int64_t>permute_dims)
- static Status **ConfigDimStride** (Tensor &out, Tensor &in, int len, const int64_t∗array_dims)

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.34 musa::dnn::Pooling Class Reference​

Inheritance diagram for musa::dnn::Pooling:

musa::dnn::Pooling​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

- Status **SetMode** (Mode m)
- Status **SetNdInfo** (std::initializer_list<int>kernel, std::initializer_list<int>pad, std::initializer_list<int>
    stride, std::initializer_list<int>dilation)
- Status **SetNdInfo** (int len, const int∗kernel, const int∗pad, const int∗stride, const int∗dilation)
- Status **SetDivisor** (int divisor)
- Status **Run** (Handle &h, Tensor &out, const Tensor &in, Tensor &indices) const
- Status **RunBwd** (Handle &h, Tensor &out, const Tensor &in, Tensor &indices) const
- Status **RunMaxPool2dGradGrad** (Handle &h, Tensor &out, const Tensor &in, const Tensor &indices) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.35 musa::dnn::Reduce Class Reference​

Inheritance diagram for musa::dnn::Reduce:

musa::dnn::Reduce​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

- Status **SetMode** (Mode m)
- Status **SetDim** (std::initializer_list<int>dim)
- Status **SetDim** (int ndim, const int∗dim)
- Status **SetNormOrd** (float ord)
- Status **GetWorkspaceSize** (Handle &h, size_t &size_in_bytes, Tensor &out, const Tensor &in)
- Status **Run** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const
- Status **RunIndices** (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const
- Status **RunWithIndices** (Handle &h, Tensor &out, Tensor &indices, const Tensor &in, const Memory←-
    Maintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.36 musa::dnn::RMSNorm Class Reference​

Inheritance diagram for musa::dnn::RMSNorm:

musa::dnn::RMSNorm​

musa::dnn::ImplBase

Public Member Functions​

- Status **SetEpsilon** (double eps)
- Status **SetAxis** (std::initializer_list<int>axes)
- Status **SetAxis** (size_t length, const int∗axes)
- Status **Run** (Handle &h, Tensor &out, Tensor &mean, const Tensor &in, const Tensor &gamma) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.37 musa::dnn::RNN Class Reference​

Inheritance diagram for musa::dnn::RNN:

musa::dnn::RNN​

musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }
- enum class **Format** { **MUDNN_ITEM** }
- enum class **BiasMode** { **MUDNN_ITEM** }
- enum class **Direction** { **MUDNN_ITEM** }
- enum class **ComputeMode**

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetFormat (Format m)
  • Status SetBiasMode (BiasMode bm)
  • Status SetDirection (Direction d)
  • Status SetComputeMode (ComputeMode mode)
  • Status RunUnpacked (Handle &h, Tensor &out, Tensor &hout, Tensor &cout, const Tensor &in, const Tensor &hin, const Tensor &cin, const Tensor∗weight, Tensor &bwdHint, const MemoryMaintainer &maintainer) const
  • Status RunUnpackedBwd (Handle &h, Tensor &in_grad, Tensor &hin_grad, Tensor &cin_grad, const Tensor ∗weight_grad, const Tensor &in, const Tensor &hin, const Tensor &cin, const Tensor∗weight, const Tensor &out, const Tensor &bwdHint, const Tensor &out_grad, const Tensor &hout_grad, const Tensor &cout_grad, const MemoryMaintainer &maintainer) const

Static Public Member Functions​

  • static Status RunPackPaddedSequence (Handle &h, Tensor &packed, Tensor &batsize, const Tensor &padded, const Tensor &lengths, bool batch_first, bool enforce_sorted)
  • static Status RunPadPackedSequence (Handle &h, Tensor &padded, Tensor &lengths, const Tensor &packed, const Tensor &batsize, bool batch_first, float padding_value)

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.38 musa::dnn::ScaledDotProductAttention Class Reference​

Inheritance diagram for musa::dnn::ScaledDotProductAttention:

musa::dnn::ScaledDotProductAttention​

musa::dnn::ImplBase musa::dnn::MatrixBase

Public Types​

  • enum class ComputeMode

Public Member Functions​

- Status **SetComputeMode** (ComputeMode mode)
- Status **SetEmbedDim** (int embed_dim)
- Status **SetHeadsNum** (int num_heads)
- Status **SetDropoutP** (double p)
- Status **SetTraining** (bool is_training)
- Status **SetMaskMode** (bool use_pad_mask)
- Status **SetKeyFormat** (bool key_format_bhds)
- Status **SetCausal** (bool is_causal)
- Status **RunFlash** (Handle &h, Tensor &out, Tensor &logsumexp, const Tensor &q, const Tensor &k, const
    Tensor &v, const Tensor &mask, Tensor &dropout_mask, const MemoryMaintainer &maintainer) const
- Status **RunFlashBwd** (Handle &h, Tensor &q_grad, Tensor &k_grad, Tensor &v_grad, const Tensor &out←-
    _grad, const Tensor &q, const Tensor &k, const Tensor &v, const Tensor &mask, const Tensor &out, const
    Tensor &logsumexp, const Tensor &dropout_mask, const MemoryMaintainer &maintainer) const
- Status **RunMath** (Handle &h, Tensor &out, Tensor &attn_probs, const Tensor &q, const Tensor &k, const
    Tensor &v, const Tensor &mask, Tensor &dropout_mask, const MemoryMaintainer &maintainer) const
- Status **RunMathBwd** (Handle &h, Tensor &q_grad, Tensor &k_grad, const Tensor &v_grad, const Tensor
    &attn_probs_grad, const Tensor &out_grad, const Tensor &q, const Tensor &k, const Tensor &v, const Tensor
    &attn_probs, const Tensor &dropout_mask, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.39 musa::dnn::Scan Class Reference​

Inheritance diagram for musa::dnn::Scan:

musa::dnn::Scan​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }
- enum class **ScanOpType** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetOpType (ScanOpType op_type)
  • Status SetInitVal (double value)
  • Status SetInitVal (int64_t value)
  • Status Run (Handle &h, Tensor &out, const Tensor &in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.40 musa::dnn::Scatter Class Reference​

Inheritance diagram for musa::dnn::Scatter:

musa::dnn::Scatter​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode mode)
  • Status Run (Handle &h, Tensor &self, const Tensor &idx, const Tensor &update, int dim, const Memory←- Maintainer &maintainer) const
  • Status Run (Handle &h, Tensor &out, const Tensor &self, const Tensor &idx, const Tensor &update, int dim, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.41 musa::dnn::ScatterND Class Reference​

Inheritance diagram for musa::dnn::ScatterND:

musa::dnn::ScatterND​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode mode)
  • Status Run (Handle &h, Tensor &self, const Tensor &idx, const Tensor &update, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.42 musa::dnn::Softmax Class Reference​

Inheritance diagram for musa::dnn::Softmax:

musa::dnn::Softmax​

musa::dnn::ImplBase

Public Types​

- enum class **Algorithm** { **MUDNN_ITEM** }
- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetDim (int d)
  • Status SetAlgorithm (Algorithm a)
  • Status SetMode (Mode m)
  • Status Run (Handle &h, Tensor &out, const Tensor &input) const
  • Status RunBwd (Handle &h, Tensor &gradInput, const Tensor &output, const Tensor &gradOutput) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

5.43 musa::dnn::Sort Class Reference​

Inheritance diagram for musa::dnn::Sort:

musa::dnn::Sort​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetDim (int dim)
  • Status SetStable (bool stable)
  • Status SetDescending (bool descending)
  • Status Run (Handle &h, Tensor &out, Tensor &indices, const Tensor &in, const MemoryMaintainer &main- tainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.44 musa::dnn::SortByKey Class Reference​

Inheritance diagram for musa::dnn::SortByKey:

musa::dnn::SortByKey​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetDim (int dim)
  • Status SetStable (bool stable)
  • Status SetDescending (bool descending)
  • Status Run (Handle &h, Tensor &key_out, Tensor &value_out, const Tensor &key_in, const Tensor &value_in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.45 musa::dnn::Tensor Class Reference​

Inheritance diagram for musa::dnn::Tensor:

musa::dnn::Tensor​

musa::dnn::TensorBase musa::dnn::ImplBase

Public Types​

- enum class **Format** { **MUDNN_ITEM** }
- enum class **Type**

Public Member Functions​

- **Tensor** (const Tensor &)
- **Tensor** (Tensor &&)
- Tensor & **operator=** (const Tensor &)
- Tensor & **operator=** (Tensor &&)
- Status **SetAddr** (const void∗addr)
- Status **SetType** (Type t)
- Status **SetFormat** (Format f)
- Status **SetNdInfo** (std::initializer_list<int64_t>dim)
- Status **SetNdInfo** (int ndims, const int64_t∗dim)
- Status **SetNdInfo** (int64_t ndims, const int64_t∗dim)
- Status **SetNdInfo** (std::initializer_list<int64_t>dim, std::initializer_list<int64_t>stride)
- Status **SetNdInfo** (int ndims, const int64_t∗dim, const int64_t∗stride)
- Status **SetNdInfo** (int64_t ndims, const int64_t∗dim, const int64_t∗stride)
- Status **GetNdInfo** (std::vector<int64_t>&dim)
- Status **GetNdInfo** (std::vector<int64_t>&dim, std::vector<int64_t>&stride)
- Status **SetQuantizationInfo** (int n, const float∗scales, const unsigned int∗zero_points)
- Status **SetQuantizationInfo** (std::initializer_list<float>scales, std::initializer_list<unsigned int>zero_←-
    points)
- Status **SetQuantizationInfo** (const std::vector<float>&scales)
- Status **CopyFrom** (void∗ptr, size_t bytes, int kind, Handle &h, bool sync=false)
- Status **CopyTo** (void∗ptr, size_t bytes, int kind, Handle &h, bool sync=false) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_base.h

5.46 musa::dnn::TensorBase Class Reference​

Inheritance diagram for musa::dnn::TensorBase:

musa::dnn::TensorBase​

musa::dnn::Tensor

Protected Types​

- enum class **Type** { **MUDNN_ITEM** }

The documentation for this class was generated from the following file:

  • mudnn_base.h

5.47 musa::dnn::Ternary Class Reference​

Inheritance diagram for musa::dnn::Ternary:

musa::dnn::Ternary​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetAlpha (double alpha)
  • Status SetAlpha (int64_t alpha)
  • Status SetAlpha (const void∗alpha)
  • Status SetBeta (double beta)
  • Status SetBeta (int64_t beta)
  • Status SetBeta (const void∗beta)
  • Status SetGamma (double gamma)
  • Status SetGamma (int64_t gamma)
  • Status SetGamma (const void∗gamma)
  • Status Run (Handle &h, Tensor &out, const Tensor &in0, const Tensor &in1, const Tensor &in2) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.48 musa::dnn::TopK Class Reference​

Inheritance diagram for musa::dnn::TopK:

musa::dnn::TopK​

musa::dnn::ImplBase

Public Member Functions​

- Status **SetK** (int k)
- Status **SetDim** (int dim)
- Status **SetLargest** (bool largest)
- Status **SetSorted** (bool sorted)
- Status **Run** (Handle &h, Tensor &out, Tensor &indices, const Tensor &in, const MemoryMaintainer &main-
    tainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.49 musa::dnn::Unary Class Reference​

Inheritance diagram for musa::dnn::Unary:

musa::dnn::Unary​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status SetAlpha (double alpha)
  • Status SetAlpha (int64_t alpha)
  • Status SetAlpha (const void∗alpha)
  • Status SetBeta (double beta)
  • Status SetBeta (int64_t beta)
  • Status SetBeta (const void∗beta)
  • Status Run (Handle &h, Tensor &out, const Tensor &in) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.50 musa::dnn::Unfold Class Reference​

Inheritance diagram for musa::dnn::Unfold:

musa::dnn::Unfold​

musa::dnn::ImplBase

Public Member Functions​

  • Status SetAxis (int axis)
  • Status SetSize (int size)
  • Status SetStep (int step)
  • Status Run (Handle &h, Tensor &out, const Tensor &input) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.51 musa::dnn::Unique Class Reference​

Inheritance diagram for musa::dnn::Unique:

musa::dnn::Unique​

musa::dnn::ImplBase

Public Types​

- enum class **Mode** { **MUDNN_ITEM** }

Public Member Functions​

  • Status SetMode (Mode m)
  • Status Run (Handle &h, Tensor &out, Tensor &inverse_indices, Tensor &counts, const Tensor &in, const MemoryMaintainer &maintainer) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_math.h

5.52 musa::dnn::WeightNorm Class Reference​

Inheritance diagram for musa::dnn::WeightNorm:

musa::dnn::WeightNorm​

musa::dnn::ImplBase

Public Member Functions​

- Status **SetEpsilon** (double epsilon)
- Status **SetAxis** (std::initializer_list<int>axes)
- Status **SetAxis** (size_t length, const int∗axes)
- Status **Run** (Handle &h, Tensor &out, const Tensor &weightV, const Tensor &weightG) const

Additional Inherited Members​

The documentation for this class was generated from the following file:

  • mudnn_nn.h

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