IVGCVSW-7455 Workaround to allow CLBatchMatMul to parse some 4D models

 * Added ability to reduce dimension sizes when calling BuildArmComputeTensorInfo or
   BuildArmComputeTensorShapes, this will attempt to remove leading 1s in order to
   squeeze the number of dimensions but retain the size.
 * Changed ClBatchMatMulWorkload to attempt to squeeze the number of dimensions to 3
   as the CL Gemm Kernel can only support up to 3 dimensions.

Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I6b3d0886c5b97fdb686838fc3dc292833ddc4643

1 files changed, 57 insertions, 1 deletions

diff --git a/src/armnnUtils/test/TensorUtilsTest.cpp b/src/armnnUtils/test/TensorUtilsTest.cpp
index 16349c554e..a69a0098ce 100644
--- a/src/armnnUtils/test/TensorUtilsTest.cpp
+++ b/src/armnnUtils/test/TensorUtilsTest.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2019,2021-2022 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2019,2021-2023 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -126,6 +126,62 @@ TEST_CASE("ExpandDimsInvalidAxisTest")
     CHECK_THROWS_AS(ExpandDims(inputShape, 4), armnn::InvalidArgumentException);
 }
 
+TEST_CASE("ReduceDimsShapeAll1s")
+{
+    armnn::TensorShape inputShape({ 1, 1, 1 });
+
+    // Invalid expand dimension 4
+    armnn::TensorShape outputShape = ReduceDims(inputShape, 2);
+    CHECK(outputShape.GetNumDimensions() == 2);
+    CHECK(outputShape[0] == 1);
+    CHECK(outputShape[1] == 1);
+}
+
+TEST_CASE("ReduceDimsShapeNotEnough1s")
+{
+    armnn::TensorShape inputShape({ 1, 2, 1 });
+
+    // Invalid expand dimension 4
+    armnn::TensorShape outputShape = ReduceDims(inputShape, 1);
+    CHECK(outputShape.GetNumDimensions() == 2);
+    CHECK(outputShape[0] == 2);
+    CHECK(outputShape[1] == 1);
+}
+
+TEST_CASE("ReduceDimsInfoAll1s")
+{
+    armnn::TensorInfo inputInfo({ 1, 1, 1 }, DataType::Float32);
+
+    // Invalid expand dimension 4
+    armnn::TensorInfo outputInfo = ReduceDims(inputInfo, 2);
+    CHECK(outputInfo.GetShape().GetNumDimensions() == 2);
+    CHECK(outputInfo.GetShape()[0] == 1);
+    CHECK(outputInfo.GetShape()[1] == 1);
+}
+
+TEST_CASE("ReduceDimsInfoNotEnough1s")
+{
+    armnn::TensorInfo inputInfo({ 1, 2, 1 }, DataType::Float32);
+
+    // Invalid expand dimension 4
+    armnn::TensorInfo outputInfo = ReduceDims(inputInfo, 1);
+    CHECK(outputInfo.GetNumDimensions() == 2);
+    CHECK(outputInfo.GetShape()[0] == 2);
+    CHECK(outputInfo.GetShape()[1] == 1);
+}
+
+TEST_CASE("ReduceDimsShapeDimensionGreaterThanSize")
+{
+    armnn::TensorShape inputShape({ 1, 1, 1 });
+
+    // Invalid expand dimension 4
+    armnn::TensorShape outputShape = ReduceDims(inputShape, 4);
+    CHECK(outputShape.GetNumDimensions() == 3);
+    CHECK(outputShape[0] == 1);
+    CHECK(outputShape[1] == 1);
+    CHECK(outputShape[2] == 1);
+}
+
 TEST_CASE("ExpandDimsInvalidNegativeAxisTest")
 {
     armnn::TensorShape inputShape({ 2, 3, 4 });