activation.h
Activation functions.
Enums
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enum class NVTE_Activation_Type
Compute activation of the input.
- Param input:
[in] Input tensor for activation.
- Param output:
[inout] Output tensor.
- Param stream:
[in] CUDA stream used for the operation.
Values:
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enumerator GELU
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enumerator GEGLU
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enumerator SILU
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enumerator SWIGLU
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enumerator RELU
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enumerator REGLU
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enumerator QGELU
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enumerator QGEGLU
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enumerator SRELU
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enumerator SREGLU
Functions
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void nvte_gelu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_silu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_relu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_qgelu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_srelu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dgelu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
Compute activation gradient.
- Parameters:
grad – [in] Incoming gradient.
input – [in] Input tensor for activation.
output – [inout] Output tensor.
stream – [in] CUDA stream used for the operation.
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void nvte_dsilu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_drelu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dqgelu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dsrelu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_geglu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
Compute gated activation of the input.
- Parameters:
input – [in] Input tensor of shape [N, H * 2].
output – [inout] Output tensor of shape [N, H]. It computes Act(input[N, :H]) x input[N, H:]
stream – [in] CUDA stream used for the operation.
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void nvte_swiglu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_reglu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_qgeglu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_sreglu(const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dgeglu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
Compute gated activation gradient.
- Parameters:
grad – [in] Incoming gradient of shape [N, H].
input – [in] Forward input tensor of shape [N, H * 2].
output – [inout] Outgoing gradient of shape [N, H * 2].
stream – [in] CUDA stream used for the operation.
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void nvte_dswiglu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dreglu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dqgeglu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)
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void nvte_dsreglu(const NVTETensor grad, const NVTETensor input, NVTETensor output, cudaStream_t stream)