arm_compute v17.09
Change-Id: I4bf8f4e6e5f84ce0d5b6f5ba570d276879f42a81
diff --git a/examples/neon_copy_objects.cpp b/examples/neon_copy_objects.cpp
index 191f455..0402453 100644
--- a/examples/neon_copy_objects.cpp
+++ b/examples/neon_copy_objects.cpp
@@ -75,7 +75,7 @@
// Fill the input tensor:
// Simplest way: create an iterator to iterate through each element of the input tensor:
Window input_window;
- input_window.use_tensor_dimensions(input.info());
+ input_window.use_tensor_dimensions(input.info()->tensor_shape());
std::cout << " Dimensions of the input's iterator:\n";
std::cout << " X = [start=" << input_window.x().start() << ", end=" << input_window.x().end() << ", step=" << input_window.x().step() << "]\n";
std::cout << " Y = [start=" << input_window.y().start() << ", end=" << input_window.y().end() << ", step=" << input_window.y().step() << "]\n";
@@ -109,7 +109,7 @@
// More efficient way: create an iterator to iterate through each row (instead of each element) of the output tensor:
Window output_window;
- output_window.use_tensor_dimensions(output.info(), /* first_dimension =*/Window::DimY); // Iterate through the rows (not each element)
+ output_window.use_tensor_dimensions(output.info()->tensor_shape(), /* first_dimension =*/Window::DimY); // Iterate through the rows (not each element)
std::cout << " Dimensions of the output's iterator:\n";
std::cout << " X = [start=" << output_window.x().start() << ", end=" << output_window.x().end() << ", step=" << output_window.x().step() << "]\n";
std::cout << " Y = [start=" << output_window.y().start() << ", end=" << output_window.y().end() << ", step=" << output_window.y().step() << "]\n";