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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-03-06 18:12:09 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-03-12 12:12:30 +0000 |
| commit | c7b183ab741650653289f8ce3bdeb4926521fdbd (patch) | |
| tree | 991e9f20340c91c288d52d8f9a64a3729e4a40b0 /arm_compute/runtime/NEON/functions/NEGEMM.h | |
| parent | 6800117df3be825f0ec5c6cc71c4377322f51b99 (diff) | |
| download | ComputeLibrary-c7b183ab741650653289f8ce3bdeb4926521fdbd.tar.gz | |
COMPMID-3160: Add Bfloat16 support in NEGEMMConvolutionLayer
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I0e449306c138a562ffc1455e76ec44b2fd059d85
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2860
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEGEMM.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEGEMM.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEGEMM.h b/arm_compute/runtime/NEON/functions/NEGEMM.h index f08bd9fac5..c87e806d0c 100644 --- a/arm_compute/runtime/NEON/functions/NEGEMM.h +++ b/arm_compute/runtime/NEON/functions/NEGEMM.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2019 ARM Limited. + * Copyright (c) 2017-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -74,7 +74,7 @@ public: * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C]. * @note GEMM: The tensors a, b, c, d must have the same data type. You should not mix data types when calling this function. * - * @param[in] a First input tensor (Matrix A or Vector A). Data type supported: F16/F32 + * @param[in] a First input tensor (Matrix A or Vector A). Data type supported: BLOAT16/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] d Output tensor. Data type supported: same as @p a @@ -86,7 +86,7 @@ public: void configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *d, float alpha, float beta, const GEMMInfo &gemm_info = GEMMInfo()); /** Static function to check if given info will lead to a valid configuration of @ref NEGEMM. * - * @param[in] a First input tensor info (Matrix or Vector A). Data types supported: F16/F32 + * @param[in] a First input tensor info (Matrix or Vector A). Data types supported: BLOAT16/F16/F32 * @param[in] b Second input tensor info (Matrix B). Data type supported: same as @p a. * @param[in] c Third input tensor info (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 info. Data type supported: same as @p a |