diff options
| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-03-19 19:57:01 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
| commit | ceff0f9a991b693f568c25b1e0933582301082e7 (patch) | |
| tree | 3938e9b2151fc6b3d42d2bab9f66efa4709a5da1 /arm_compute/runtime/GLES_COMPUTE/functions | |
| parent | 7db3a30cd15659af75938cd964eebb17a12c6e81 (diff) | |
| download | ComputeLibrary-ceff0f9a991b693f568c25b1e0933582301082e7.tar.gz | |
COMPMID-1016: Optimize kernel reconfiguration
Optimizes kernel reconfiguration when memory manager is used.
Note that this works only if every sub-sequent reconfigurations leads to
sizes less than the first one.
Change-Id: I08898e99929c3756147a02979b726c2380b6e11d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125114
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/runtime/GLES_COMPUTE/functions')
| -rw-r--r-- | arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h | 17 |
1 files changed, 10 insertions, 7 deletions
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h index 81be1de21a..1f8dc3e1a0 100644 --- a/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h +++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCFullyConnectedLayer.h @@ -67,14 +67,17 @@ public: GCFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr); /** Set the input and output tensors. * - * @param[in] input Source tensor. Data type supported: F16/F32. - * @param[in] weights Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input - * @param[in] biases Bias tensor. It can be nullptr. Data type supported:Same as @p input. - * @param[out] output Destination tensor. Data type supported: Same as @p input. - * @param[in] transpose_weights (Optional) Transpose weights if true. Defaults to true. - * @param[in] are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false. + * @param[in] input Source tensor. Data type supported: F16/F32. + * @param[in] weights Weights tensor. The weights must be 2 dimensional. Data type supported: Same as @p input + * @param[in] biases Bias tensor. It can be nullptr. Data type supported:Same as @p input. + * @param[out] output Destination tensor. Data type supported: Same as @p input. + * @param[in] transpose_weights (Optional) Transpose weights if true. Defaults to true. + * @param[in] are_weights_reshaped (Optional) Reshape the weights tensor if false. Defaults to false. + * @param[in] retain_internal_weights (Optional) Retain internal reshaped weights. Defaults to false. + * Used for reconfiguration purposes. */ - void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, bool transpose_weights = true, bool are_weights_reshaped = false); + void configure(const IGCTensor *input, const IGCTensor *weights, const IGCTensor *biases, IGCTensor *output, + bool transpose_weights = true, bool are_weights_reshaped = false, bool retain_internal_weights = false); //Inherited methods override void run() override; |