COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2
- CLFunctions have been updated
Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/runtime/CL/functions/CLReduceMean.cpp b/src/runtime/CL/functions/CLReduceMean.cpp
index 3b7a7f8..3ddaa00 100644
--- a/src/runtime/CL/functions/CLReduceMean.cpp
+++ b/src/runtime/CL/functions/CLReduceMean.cpp
@@ -93,6 +93,11 @@
}
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 @@
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 @@
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);
}
}