diff options
Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h index e6469f0370..d3c54a76c8 100644 --- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h @@ -51,6 +51,10 @@ public: CLGEMMMatrixMultiplyReshapedKernel &operator=(CLGEMMMatrixMultiplyReshapedKernel &&) = default; /** Initialise the kernel's input and output. * + * @note The F16 computation also supports mixed precision through the gemm_info.fp_mixed_precision flag. + * Mixed precision combines different floating precisions during the computation, in particular, F32 for the accumulations and F16 for the + * multiplications. i.e. float c = (half)a * (half)b + * * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F16/F32. The number of dimensions for the LHS matrix must be less or equal than 4 * @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3 * @param[in] input2 Input tensor containing the bias matrix. Data type supported: same as @p input0. |