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Diffstat (limited to 'src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp10
1 files changed, 8 insertions, 2 deletions
diff --git a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
index b9767e8ec2..d9da3cb36e 100644
--- a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
+++ b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp
@@ -31,11 +31,17 @@ namespace arm_compute
{
namespace
{
+QuantizationInfo compute_output_qinfo()
+{
+ return QuantizationInfo(1.f / 4096);
+}
+
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output, *input);
+ output->set_quantization_info(compute_output_qinfo());
const uint32_t temp_num_elems_processed_per_iteration = max_cl_vector_width / input->element_size();
/* If width is less then step, then make step same as width to avoid global size being step instead of actual width. */
@@ -48,7 +54,7 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen
return std::make_pair(Status{}, win);
}
-Status validate_arguments(const ITensorInfo *input, ITensorInfo *output, const ITensorInfo *weight, const ITensorInfo *bias)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *weight, const ITensorInfo *bias)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weight, bias, output);
@@ -129,7 +135,7 @@ void CLQLSTMLayerNormalizationKernel::configure(const ICLTensor *input, ICLTenso
configure(CLKernelLibrary::get().get_compile_context(), input, output, weight, bias);
}
-Status CLQLSTMLayerNormalizationKernel::validate(const ITensorInfo *input, ITensorInfo *output, const ITensorInfo *weight, const ITensorInfo *bias)
+Status CLQLSTMLayerNormalizationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *weight, const ITensorInfo *bias)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, weight, bias));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);