diff options
| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2019-09-17 08:59:09 +0100 |
|---|---|---|
| committer | SiCongLi <sicong.li@arm.com> | 2019-12-11 17:05:24 +0000 |
| commit | e6c3344f2a76b0724172200b1d5a443393045336 (patch) | |
| tree | 8cfa3fb5ed70ab226b35a09f38b3ffaf226bba98 /tests | |
| parent | 35c3eb011d8e2813d83c6a6cbe28a446534e4a14 (diff) | |
| download | ComputeLibrary-e6c3344f2a76b0724172200b1d5a443393045336.tar.gz | |
COMPMID-2637 [CL] fix broadcast pixel-wise multiplication with 5D tensors
Broadcast pixel-wise multiplication with 5D tensors is fixed
by adding information whether a dimension has been broadcasted
to compute correct start offset when adding 3D tensor argument.
The testcase that failed is added to the validation test suite.
Change-Id: I320876f507012c27b39daae1316f9b69138ed204
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1994
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/datasets/ShapeDatasets.h | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/tests/datasets/ShapeDatasets.h b/tests/datasets/ShapeDatasets.h index 07ecf45d81..b479eb4953 100644 --- a/tests/datasets/ShapeDatasets.h +++ b/tests/datasets/ShapeDatasets.h @@ -203,7 +203,9 @@ public: TensorShape{ 128U, 1U, 5U, 3U }, TensorShape{ 9U, 9U, 3U, 4U }, TensorShape{ 27U, 13U, 2U, 4U }, - TensorShape{ 1U, 1U, 1U, 5U } + TensorShape{ 1U, 1U, 1U, 5U }, + TensorShape{ 1U, 16U, 10U, 2U, 128U }, + TensorShape{ 1U, 16U, 10U, 2U, 128U } }), ShapeDataset("Shape1", { @@ -212,7 +214,9 @@ public: TensorShape{ 128U, 64U, 1U, 3U }, TensorShape{ 9U, 1U, 3U }, TensorShape{ 1U }, - TensorShape{ 9U, 9U, 3U, 5U } + TensorShape{ 9U, 9U, 3U, 5U }, + TensorShape{ 1U, 1U, 1U, 1U, 128U }, + TensorShape{ 128U } })) { } @@ -686,7 +690,7 @@ public: : ShapeDataset("InputShape", { // Batch size 1 - TensorShape{ 32U, 37U, 3U }, + TensorShape{ 32U, 37U, 3U }, // Batch size 4 TensorShape{ 32U, 37U, 3U, 4U }, }) @@ -702,7 +706,7 @@ public: : ShapeDataset("InputShape", { // Batch size 1 - TensorShape{ 32U, 37U, 3U }, + TensorShape{ 32U, 37U, 3U }, // Batch size 4 TensorShape{ 32U, 37U, 3U, 4U }, // Arbitrary batch size |