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Diffstat (limited to 'arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h16
1 files changed, 8 insertions, 8 deletions
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
index bb7461ca44..6066e2a815 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpReductionKernel.h
@@ -48,7 +48,7 @@ public:
/** Initialise the kernel's input and output.
*
- * @param[in] input Input tensor. Data type supported: S8
+ * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8.
* @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -60,7 +60,7 @@ public:
/** Initialise the kernel's input and output.
*
* @param[in] compile_context The compile context to be used.
- * @param[in] input Input tensor. Data type supported: S8
+ * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8.
* @param[out] output Output row-vector of sums of all the entries in each row/col of input tensor. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -85,7 +85,7 @@ class CLGEMMLowpMatrixAReductionKernel : public ICLGEMMLowpReductionKernel
public:
/** Initialise the kernel's input and output.
*
- * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8.
* @param[out] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -97,7 +97,7 @@ public:
/** Initialise the kernel's input and output.
*
* @param[in] compile_context The compile context to be used.
- * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8.
* @param[out] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -108,7 +108,7 @@ public:
void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_a, ICLTensor *vector_sum_row, const GEMMLowpReductionKernelInfo &info) override;
/** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixAReductionKernel
*
- * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] mtx_a Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8.
* @param[in] vector_sum_row Output row-vector of sums of all the entries in each row of mtx_a. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -134,7 +134,7 @@ class CLGEMMLowpMatrixBReductionKernel : public ICLGEMMLowpReductionKernel
public:
/** Initialise the kernel's input and output.
*
- * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL.
* @param[out] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -146,7 +146,7 @@ public:
/** Initialise the kernel's input and output.
*
* @param[in] compile_context The compile context to be used.
- * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL.
* @param[out] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.
@@ -157,7 +157,7 @@ public:
void configure(const CLCompileContext &compile_context, const ICLTensor *mtx_b, ICLTensor *vector_sum_col, const GEMMLowpReductionKernelInfo &info) override;
/** Static function to check if given info will lead to a valid configuration of @ref CLGEMMLowpMatrixBReductionKernel
*
- * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED
+ * @param[in] mtx_b Input tensor. Data type supported: Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8/QSYMM8_PER_CHANNEL.
* @param[in] vector_sum_col Output row-vector of sums of all the entries in each column of mtx_b. Data type supported: S32
* @param[in] info Kernel metadata:
* - k Number of matrix columns/rows depending on the type of reduction.