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authorGian Marco Iodice <gianmarco.iodice@arm.com>2019-07-29 14:27:16 +0100
committerGian Marco Iodice <gianmarco.iodice@arm.com>2019-08-01 09:25:15 +0000
commitf3622becf1f0d6bf5147ebb7d6d0f14d5252860a (patch)
tree60c5a1de2d24f9828a7896d200759150b0f5eb42 /arm_compute/core
parentc4d5136707280d98f660a67219114f5ee5b10fb8 (diff)
downloadComputeLibrary-f3622becf1f0d6bf5147ebb7d6d0f14d5252860a.tar.gz
COMPMID-1979: Fuse Activation Function in CLGEMM - part 4
Fused activation function in CLGEMM Change-Id: I644fdf09349325c0b3a2cd5fef2a3ea2c974149d Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/1640 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core')
-rw-r--r--arm_compute/core/Types.h19
1 files changed, 16 insertions, 3 deletions
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index b4d94eced4..2c17f273a5 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -1775,7 +1775,8 @@ public:
_gemmlowp_output_stage(),
_fp_mixed_precision(false),
_broadcast_bias(false),
- _pretranpose_B(true)
+ _pretranpose_B(true),
+ _activation_info()
{
}
/** Constructor
@@ -1791,9 +1792,11 @@ public:
* @param[in] gemmlowp_output_stage (Optional) GEMMLowp Output stage info
* @param[in] fp_mixed_precision (Optional) Use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy.
* @param[in] broadcast_bias (Optional) Broadcast the shape of the bias tensor from a vector to a matrix.
+ * @param[in] activation_info (Optional) Activation to apply after the matrix multiplication
*/
GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d = 0, bool reinterpret_input_as_3d = false, bool retain_internal_weights = false,
- GEMMLowpOutputStageInfo gemmlowp_output_stage = GEMMLowpOutputStageInfo(), bool fp_mixed_precision = false, bool broadcast_bias = false) noexcept
+ GEMMLowpOutputStageInfo gemmlowp_output_stage = GEMMLowpOutputStageInfo(), bool fp_mixed_precision = false, bool broadcast_bias = false,
+ const ActivationLayerInfo &activation_info = ActivationLayerInfo()) noexcept
: _is_a_reshaped(is_a_reshaped),
_is_b_reshaped(is_b_reshaped),
_reshape_b_only_on_first_run(reshape_b_only_on_first_run),
@@ -1803,7 +1806,8 @@ public:
_gemmlowp_output_stage(gemmlowp_output_stage),
_fp_mixed_precision(fp_mixed_precision),
_broadcast_bias(broadcast_bias),
- _pretranpose_B(reshape_b_only_on_first_run)
+ _pretranpose_B(reshape_b_only_on_first_run),
+ _activation_info(activation_info)
{
}
/** Flag which specifies if the matrix A has been reshaped
@@ -1896,6 +1900,14 @@ public:
{
_pretranpose_B = flag;
}
+ /** Activation layer to apply after the matrix multiplication
+ *
+ * @return ActivationLayerInfo object
+ */
+ ActivationLayerInfo activation_info() const
+ {
+ return _activation_info;
+ }
private:
bool _is_a_reshaped;
@@ -1908,6 +1920,7 @@ private:
bool _fp_mixed_precision;
bool _broadcast_bias;
bool _pretranpose_B;
+ ActivationLayerInfo _activation_info;
};
/** Winograd information */