Function cutensorElementwiseBinaryExecute 

pub unsafe extern "C" fn cutensorElementwiseBinaryExecute(
    handle: cutensorHandle_t,
    plan: cutensorPlan_t,
    alpha: *const c_void,
    A: *const c_void,
    gamma: *const c_void,
    C: *const c_void,
    D: *mut c_void,
    stream: cudaStream_t,
) -> cutensorStatus_t

Performs an element-wise tensor operation for two input tensors (see cutensorCreateElementwiseBinary)

This function performs a element-wise tensor operation of the form: $$ D_{\Pi^C(i_0,i_1,…,i_n)} = \Phi_{AC}(\alpha op_A(A_{\Pi^A(i_0,i_1,…,i_n)}), \gamma op_C(C_{\Pi^C(i_0,i_1,…,i_n)})) $$

See cutensorCreateElementwiseBinary for details.

Remark

calls asynchronous functions, no reentrant, and thread-safe.

Parameters

• handle: Opaque handle holding cuTENSOR’s library context.
• plan: Opaque handle holding all information about the desired elementwise operation (created by cutensorCreateElementwiseBinary followed by cutensorCreatePlan).
• alpha: Scaling factor for A (see cutensorOperationDescriptorGetAttribute(desc, CUTENSOR_OPERATION_SCALAR_TYPE) to query the expected data type). Pointer to the host memory. If alpha is zero, A is not read and the corresponding unary operator is not applied.
• A: Multi-mode tensor (described by descA as part of cutensorCreateElementwiseBinary). Pointer to the GPU-accessible memory. The data accessed via this pointer must not overlap with the elements written to D.
• gamma: Scaling factor for C (see cutensorOperationDescriptorGetAttribute(desc, CUTENSOR_OPERATION_SCALAR_TYPE) to query the expected data type). Pointer to the host memory. If gamma is zero, C is not read and the corresponding unary operator is not applied.
• C: Multi-mode tensor (described by descC as part of cutensorCreateElementwiseBinary). Pointer to the GPU-accessible memory. The data accessed via this pointer must not overlap with the elements written to D.
• D: Multi-mode tensor (described by descD as part of cutensorCreateElementwiseBinary). Pointer to the GPU-accessible memory (C and D may be identical, if and only if descC == descD).
• stream: The CUDA stream used to perform the operation.

Return value

• cutensorStatus_t::CUTENSOR_STATUS_INVALID_VALUE: if tensor dimensions or modes have an illegal value.
• cutensorStatus_t::CUTENSOR_STATUS_NOT_INITIALIZED: if the handle is not initialized.
• cutensorStatus_t::CUTENSOR_STATUS_NOT_SUPPORTED: if the combination of data types or operations is not supported.
• cutensorStatus_t::CUTENSOR_STATUS_SUCCESS: The operation completed successfully without error.