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authorMichele Di Giorgio <michele.digiorgio@arm.com>2018-08-22 14:28:30 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commitba1ffe96eb4563ba7e18b39728d9db373c62f7c3 (patch)
tree0e931ef35b271f353d98aec59f9e3042471b4aea /arm_compute/core/Types.h
parent3ada2b7a29e1ab2058ab7dc701cacff548d2aae9 (diff)
downloadComputeLibrary-ba1ffe96eb4563ba7e18b39728d9db373c62f7c3.tar.gz
COMPMID-1537: Fix weights retention in CLFullyConnectedLayer
Change-Id: Id978c34889b86fa8b9184d3349cc9b12837141a2 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145403 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/Types.h')
-rw-r--r--arm_compute/core/Types.h16
1 files changed, 13 insertions, 3 deletions
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index d9109e4565..37a8850237 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -1141,7 +1141,7 @@ class GEMMInfo
public:
/** Default constructor */
GEMMInfo()
- : _is_a_reshaped(false), _is_b_reshaped(false), _reshape_b_only_on_first_run(false), _depth_output_gemm3d(1), _reinterpret_input_as_3d(false)
+ : _is_a_reshaped(false), _is_b_reshaped(false), _reshape_b_only_on_first_run(false), _depth_output_gemm3d(1), _reinterpret_input_as_3d(false), _retain_internal_weights(false)
{
}
/** Constructor
@@ -1152,11 +1152,12 @@ public:
* @param[in] depth_output_gemm3d (Optional) Depth (third dimension) of the output tensor to be used with the GEMM3D kernel
* @param[in] reinterpret_input_as_3d (Optional) Reinterpret the input as 3D tensor. (i.e. this flag should be set to true when GEMM is used
* to perform 1x1 convolutions with the NHWC data layout)
+ * @param[in] retain_internal_weights (Optional) Retain the weights tensor from previous run
*
*/
- GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d = 1, bool reinterpret_input_as_3d = false)
+ GEMMInfo(bool is_a_reshaped, bool is_b_reshaped, bool reshape_b_only_on_first_run, int depth_output_gemm3d = 1, bool reinterpret_input_as_3d = false, bool retain_internal_weights = false)
: _is_a_reshaped(is_a_reshaped), _is_b_reshaped(is_b_reshaped), _reshape_b_only_on_first_run(reshape_b_only_on_first_run), _depth_output_gemm3d(depth_output_gemm3d),
- _reinterpret_input_as_3d(reinterpret_input_as_3d)
+ _reinterpret_input_as_3d(reinterpret_input_as_3d), _retain_internal_weights(retain_internal_weights)
{
}
/** Flag which specifies if the matrix A has been reshaped
@@ -1201,6 +1202,14 @@ public:
{
return _reinterpret_input_as_3d;
};
+ /** Flag which specifies if the weights tensor has to be retained from previous run
+ *
+ * @return True if the weights tensor has to be retained
+ */
+ bool retain_internal_weights() const
+ {
+ return _retain_internal_weights;
+ };
private:
const bool _is_a_reshaped;
@@ -1208,6 +1217,7 @@ private:
const bool _reshape_b_only_on_first_run;
const int _depth_output_gemm3d;
const bool _reinterpret_input_as_3d;
+ const bool _retain_internal_weights;
};
/** Winograd information */