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path: root/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
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Diffstat (limited to 'src/core/CL/kernels/CLArithmeticAdditionKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLArithmeticAdditionKernel.cpp14
1 files changed, 4 insertions, 10 deletions
diff --git a/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp b/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
index 011807ad88..78651f8679 100644
--- a/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
+++ b/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
@@ -37,9 +37,9 @@ Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2,
{
ARM_COMPUTE_UNUSED(policy);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&input1);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input1, 1, DataType::U8, DataType::QASYMM8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input1, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&input2);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input2, 1, DataType::U8, DataType::QASYMM8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&input2, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32);
const bool is_qasymm = is_data_type_quantized_asymmetric(input1.data_type()) || is_data_type_quantized_asymmetric(input2.data_type());
if(is_qasymm)
@@ -50,18 +50,16 @@ Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2,
const TensorShape out_shape = TensorShape::broadcast_shape(input1.tensor_shape(), input2.tensor_shape());
ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible");
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(&input1, &input2);
// Validate in case of configured output
if(output.total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&output);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&output, 1, DataType::U8, DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&output, 1, DataType::U8, DataType::QASYMM8, DataType::S16, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG((output.data_type() == DataType::U8) && ((input1.data_type() != DataType::U8) || (input2.data_type() != DataType::U8)),
"Output can only be U8 if both inputs are U8");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, output.tensor_shape(), 0),
"Wrong shape for output");
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(&input1, &output);
if(is_qasymm)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&input1, &output);
@@ -142,11 +140,7 @@ void CLArithmeticAdditionKernel::configure(const ICLTensor *input1, const ICLTen
build_opts.emplace("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type()));
build_opts.emplace("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type()));
build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
- if(is_data_type_fixed_point(input1->info()->data_type()))
- {
- build_opts.emplace("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(input1->info()->fixed_point_position()));
- }
- else if(is_data_type_quantized_asymmetric(input1->info()->data_type()))
+ if(is_data_type_quantized_asymmetric(input1->info()->data_type()))
{
build_opts.emplace("-DOFFSET=" + support::cpp11::to_string(input1->info()->quantization_info().offset));
kernel_name += "_quantized";