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path: root/src/runtime/CL/functions/CLReduceMean.cpp
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Diffstat (limited to 'src/runtime/CL/functions/CLReduceMean.cpp')
-rw-r--r--src/runtime/CL/functions/CLReduceMean.cpp11
1 files changed, 8 insertions, 3 deletions
diff --git a/src/runtime/CL/functions/CLReduceMean.cpp b/src/runtime/CL/functions/CLReduceMean.cpp
index 3b7a7f873a..3ddaa00d4b 100644
--- a/src/runtime/CL/functions/CLReduceMean.cpp
+++ b/src/runtime/CL/functions/CLReduceMean.cpp
@@ -93,6 +93,11 @@ CLReduceMean::CLReduceMean(std::shared_ptr<IMemoryManager> memory_manager)
}
void CLReduceMean::configure(ICLTensor *input, const Coordinates &reduction_axis, bool keep_dims, ICLTensor *output)
{
+ configure(CLKernelLibrary::get().get_compile_context(), input, reduction_axis, keep_dims, output);
+}
+
+void CLReduceMean::configure(const CLCompileContext &compile_context, ICLTensor *input, const Coordinates &reduction_axis, bool keep_dims, ICLTensor *output)
+{
// Perform validate step
ARM_COMPUTE_ERROR_THROW_ON(CLReduceMean::validate(input->info(), reduction_axis, keep_dims, output->info()));
// Output auto inizialitation if not yet initialized
@@ -118,13 +123,13 @@ void CLReduceMean::configure(ICLTensor *input, const Coordinates &reduction_axis
if(i == _reduction_ops - 1 && keep_dims)
{
- _reduction_kernels[i].configure(in, output, axis_local[i], ReductionOperation::MEAN_SUM);
+ _reduction_kernels[i].configure(compile_context, in, output, axis_local[i], ReductionOperation::MEAN_SUM);
}
else
{
_reduced_outs[i].allocator()->init(TensorInfo(out_shape, input->info()->num_channels(), input->info()->data_type(), input->info()->quantization_info()));
_memory_group.manage(&_reduced_outs[i]);
- _reduction_kernels[i].configure(in, &_reduced_outs[i], axis_local[i], ReductionOperation::MEAN_SUM);
+ _reduction_kernels[i].configure(compile_context, in, &_reduced_outs[i], axis_local[i], ReductionOperation::MEAN_SUM);
}
}
@@ -147,7 +152,7 @@ void CLReduceMean::configure(ICLTensor *input, const Coordinates &reduction_axis
out_shape.remove_dimension(axis_local[i] - i);
}
auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(out_shape));
- _reshape.configure(&_reduced_outs[_reduction_ops - 1], output);
+ _reshape.configure(compile_context, &_reduced_outs[_reduction_ops - 1], output);
}
}