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Diffstat (limited to 'arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h')
-rw-r--r--arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h14
1 files changed, 7 insertions, 7 deletions
diff --git a/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h b/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h
index 949564750b..ad89e1fbec 100644
--- a/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h
+++ b/arm_compute/runtime/NEON/functions/assembly/NEGEMMInterleavedWrapper.h
@@ -104,14 +104,14 @@ public:
*
* @note The input and output tensor must have the same dimensions
*
- * @param[in] a Input tensor (Matrix A)
- * @param[in] b Input tensor (Matrix B)
- * @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
- * @param[in] alpha Scalar multiplier to apply to AB matrix product.
- * @param[in] beta Scalar multiplier to apply to input C matrix before adding product.
- * @param[in] pretranspose_b If true, pretranspose B once during the prepare() stage instead of on the fly every time.
+ * @param[in] a Input tensor (Matrix A)
+ * @param[in] b Input tensor (Matrix B)
+ * @param[out] c Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0.
+ * @param[in] alpha Scalar multiplier to apply to AB matrix product.
+ * @param[in] beta Scalar multiplier to apply to input C matrix before adding product.
+ * @param[in] gemm_info GEMM meta-data
*/
- void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, bool pretranspose_b);
+ void configure(const ITensor *a, const ITensor *b, ITensor *c, float alpha, float beta, const GEMMInfo &gemm_info);
// Inherited methods overridden:
void run() override;