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-rw-r--r--src/core/CL/kernels/CLReductionOperationKernel.cpp4
-rw-r--r--tests/validation/CL/ReductionOperation.cpp14
2 files changed, 7 insertions, 11 deletions
diff --git a/src/core/CL/kernels/CLReductionOperationKernel.cpp b/src/core/CL/kernels/CLReductionOperationKernel.cpp
index 1347a9bc94..355dc7948e 100644
--- a/src/core/CL/kernels/CLReductionOperationKernel.cpp
+++ b/src/core/CL/kernels/CLReductionOperationKernel.cpp
@@ -98,10 +98,6 @@ void CLReductionOperationKernel::configure(const ICLTensor *input, ICLTensor *ou
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
- // Output tensor auto initialization if not yet initialized
- TensorShape output_shape{ input->info()->tensor_shape() };
- output_shape.set(axis, 1);
-
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), axis, op));
const unsigned int num_elems_processed_per_iteration = 16;
diff --git a/tests/validation/CL/ReductionOperation.cpp b/tests/validation/CL/ReductionOperation.cpp
index a2a5eff4de..a48e2f9d5f 100644
--- a/tests/validation/CL/ReductionOperation.cpp
+++ b/tests/validation/CL/ReductionOperation.cpp
@@ -60,19 +60,19 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis > 0
TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
}),
- framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16),
- TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
- TensorInfo(TensorShape(128U, 64U), 1, DataType::S16),
- TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
- TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
- TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
+ framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(1U, 64U), 1, DataType::F16),
+ TensorInfo(TensorShape(1U, 64U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U, 64U), 1, DataType::S16),
+ TensorInfo(TensorShape(1U, 64U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U, 64U), 1, DataType::F32),
+ TensorInfo(TensorShape(1U, 64U), 1, DataType::F32)
})),
framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 1U, 0U })),
framework::dataset::make("Expected", { false, false, false, false, false, true })),
input_info, output_info, axis, expected)
{
bool is_valid = bool(CLReductionOperation::validate(&input_info.clone()->set_is_resizable(false),
- &output_info.clone()->set_is_resizable(false),
+ &output_info.clone()->set_is_resizable(true),
axis,
ReductionOperation::SUM_SQUARE));
ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);