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-rw-r--r--tests/validation/fixtures/ScatterLayerFixture.h31
1 files changed, 26 insertions, 5 deletions
diff --git a/tests/validation/fixtures/ScatterLayerFixture.h b/tests/validation/fixtures/ScatterLayerFixture.h
index 750e272388..bda5532a51 100644
--- a/tests/validation/fixtures/ScatterLayerFixture.h
+++ b/tests/validation/fixtures/ScatterLayerFixture.h
@@ -25,13 +25,16 @@
#define ACL_TESTS_VALIDATION_FIXTURES_SCATTERLAYERFIXTURE_H
#include "arm_compute/core/Utils.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "tests/Globals.h"
#include "tests/framework/Asserts.h" // Required for ARM_COMPUTE_ASSERT
#include "tests/framework/Fixture.h"
#include "tests/validation/Validation.h"
#include "tests/validation/reference/ScatterLayer.h"
#include "tests/SimpleTensor.h"
+
#include <random>
+#include <cstdint>
namespace arm_compute
{
@@ -68,6 +71,16 @@ protected:
}
}
+ // This is used to fill indices tensor with U32 datatype.
+ // Used to prevent ONLY having values that are out of bounds.
+ template <typename U>
+ void fill_indices(U &&tensor, int i, const TensorShape &shape)
+ {
+ // Calculate max indices the shape should contain. Add an arbitrary constant to allow testing for some out of bounds values.
+ const uint32_t max = std::max({shape[0] , shape[1], shape[2]}) + 5;
+ library->fill_tensor_uniform(tensor, i, static_cast<uint32_t>(0), static_cast<uint32_t>(max));
+ }
+
TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &out_shape, DataType data_type, const ScatterInfo info, QuantizationInfo a_qinfo, QuantizationInfo o_qinfo)
{
// 1. Create relevant tensors using ScatterInfo data structure.
@@ -81,7 +94,15 @@ protected:
FunctionType scatter;
// Configure operator
- scatter.configure(&src, &updates, &indices, &dst, info);
+ // When scatter_info.zero_initialization is true, pass nullptr to scatter function.
+ if(info.zero_initialization)
+ {
+ scatter.configure(nullptr, &updates, &indices, &dst, info);
+ }
+ else
+ {
+ scatter.configure(&src, &updates, &indices, &dst, info);
+ }
// Assertions
ARM_COMPUTE_ASSERT(src.info()->is_resizable());
@@ -103,7 +124,7 @@ protected:
// Fill update (a) and indices (b) tensors.
fill(AccessorType(src), 0);
fill(AccessorType(updates), 1);
- fill(AccessorType(indices), 2);
+ fill_indices(AccessorType(indices), 2, out_shape);
scatter.run();
@@ -124,7 +145,7 @@ protected:
// Fill reference
fill(src, 0);
fill(updates, 1);
- fill(indices, 2);
+ fill_indices(indices, 2, out_shape);
// Calculate individual reference.
auto result = reference::scatter_layer<T>(src, updates, indices, out_shape, info);
@@ -141,9 +162,9 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
class ScatterValidationFixture : public ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T>
{
public:
- void setup(TensorShape src_shape, TensorShape indices_shape, TensorShape out_shape, DataType data_type, ScatterFunction func, bool zero_init)
+ void setup(TensorShape src_shape, TensorShape update_shape, TensorShape indices_shape, TensorShape out_shape, DataType data_type, ScatterFunction func, bool zero_init)
{
- ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, indices_shape, indices_shape, out_shape, data_type, ScatterInfo(func, zero_init), QuantizationInfo(), QuantizationInfo());
+ ScatterGenericValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, update_shape, indices_shape, out_shape, data_type, ScatterInfo(func, zero_init), QuantizationInfo(), QuantizationInfo());
}
};