diff options
Diffstat (limited to 'arm_compute')
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h | 2 | ||||
-rw-r--r-- | arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h | 2 | ||||
-rw-r--r-- | arm_compute/runtime/CL/functions/CLGEMM.h | 6 |
3 files changed, 5 insertions, 5 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h index c808039567..b3a85a1706 100644 --- a/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMMatrixAdditionKernel.h @@ -52,7 +52,7 @@ public: * * @note The input and output tensors must have the same dimensions * - * @param[in] input Input tensor (Matrix C). Data types supported: F16/F32 + * @param[in] input Input tensor (Matrix C). Data types supported: QS8/F16/F32 * @param[in, out] output Output tensor. If this kernel is used to finalize the GEMM result (alpha * AB + beta * C), output must contain the result obtained by @ref CLGEMMMatrixMultiplyKernel. Data type supported: same as @p input * @param[in] beta Weight of matrix C */ diff --git a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h index 07ea3c12ac..7625358b8b 100644 --- a/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h +++ b/arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h @@ -53,7 +53,7 @@ public: CLGEMMMatrixMultiplyKernel &operator=(CLGEMMMatrixMultiplyKernel &&) = default; /** Initialise the kernel's input, output and alpha * - * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: F16/F32 + * @param[in] input0 Input tensor containing the interleaved Matrix A or the vector A. Data types supported: QS8/F16/F32 * @param[in] input1 Input tensor containing the transposed Matrix B if the first input tensor A is not a vector. * If the output tensor is a vector, input1 must contain the matrix B not reshaped. Data type supported: same as @p input0 * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0 diff --git a/arm_compute/runtime/CL/functions/CLGEMM.h b/arm_compute/runtime/CL/functions/CLGEMM.h index 043b2b8115..080f497b7b 100644 --- a/arm_compute/runtime/CL/functions/CLGEMM.h +++ b/arm_compute/runtime/CL/functions/CLGEMM.h @@ -36,7 +36,7 @@ namespace arm_compute { class ICLTensor; -/** Basic function to execute GEMM on OpenCL. Data types supported: F32, F16. This function calls the following OpenCL kernels: +/** Basic function to execute GEMM on OpenCL. This function calls the following OpenCL kernels: * * -# @ref CLGEMMInterleave4x4Kernel (if the output tensor is a matrix) * -# @ref CLGEMMTranspose1xWKernel (if the output tensor is a matrix) @@ -53,11 +53,11 @@ public: * * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C]. * - * @note All tensors must have the same data type. Data types supported: F32, F16 + * @note All tensors must have the same data type. * * @note Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix * - * @param[in] a First input tensor (Matrix or Vector A). Data types supported: F32, F16 + * @param[in] a First input tensor (Matrix or Vector A). Data types supported: QS8/F16/F32 * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a. * @param[in] c Third input tensor (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a. * @param[out] output Output tensor. Data type supported: same as @p a |