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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h44
1 files changed, 32 insertions, 12 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
index 72309e464e..3e84c3e2cf 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
@@ -24,8 +24,6 @@
#ifndef ARM_COMPUTE_NEGEMMCONVOLUTIONLAYER_H
#define ARM_COMPUTE_NEGEMMCONVOLUTIONLAYER_H
-#include "arm_compute/runtime/IFunction.h"
-
#include "arm_compute/core/Types.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "arm_compute/runtime/IFunction.h"
@@ -49,7 +47,8 @@ class NEGEMMConvolutionLayer : public IFunction
{
public:
/** Constructor */
- NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr, IWeightsManager *weights_manager = nullptr);
+ NEGEMMConvolutionLayer(const std::shared_ptr<IMemoryManager> &memory_manager = nullptr,
+ IWeightsManager *weights_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGEMMConvolutionLayer(const NEGEMMConvolutionLayer &) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
@@ -95,8 +94,16 @@ public:
* available which may introduce a drop of accuracy as well. Default is false
* @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is not supported
*/
- void configure(const ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, const WeightsInfo &weights_info = WeightsInfo(),
- const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false, unsigned int num_groups = 1);
+ void configure(const ITensor *input,
+ const ITensor *weights,
+ const ITensor *biases,
+ ITensor *output,
+ const PadStrideInfo &conv_info,
+ const WeightsInfo &weights_info = WeightsInfo(),
+ const Size2D &dilation = Size2D(1U, 1U),
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false,
+ unsigned int num_groups = 1);
/** Static function to check if given info will lead to a valid configuration of @ref NEGEMMConvolutionLayer
*
* @param[in] input Source tensor info. 3 lower dimensions represent a single input [width, height, IFM],
@@ -119,9 +126,16 @@ public:
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
- const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(),
- bool enable_fast_math = false, unsigned int num_groups = 1);
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *output,
+ const PadStrideInfo &conv_info,
+ const WeightsInfo &weights_info = WeightsInfo(),
+ const Size2D &dilation = Size2D(1U, 1U),
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false,
+ unsigned int num_groups = 1);
/** Static function to check if there is an optimized version of
* GEMM available for the input parameters.
@@ -178,10 +192,16 @@ public:
*
* @return a Status
*/
- static Status has_opt_impl(arm_compute::WeightFormat &expected_weight_format, const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst,
- const PadStrideInfo &conv_info,
- const WeightsInfo &weights_info = WeightsInfo(), const Size2D &dilation = Size2D(1U, 1U), const ActivationLayerInfo &act_info = ActivationLayerInfo(),
- bool enable_fast_math = false);
+ static Status has_opt_impl(arm_compute::WeightFormat &expected_weight_format,
+ const ITensorInfo *src,
+ const ITensorInfo *weights,
+ const ITensorInfo *biases,
+ const ITensorInfo *dst,
+ const PadStrideInfo &conv_info,
+ const WeightsInfo &weights_info = WeightsInfo(),
+ const Size2D &dilation = Size2D(1U, 1U),
+ const ActivationLayerInfo &act_info = ActivationLayerInfo(),
+ bool enable_fast_math = false);
// Inherited methods overridden:
void run() override;
void prepare() override;