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author | SiCong Li <sicong.li@arm.com> | 2017-08-23 11:02:43 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 86b53339679e12c952a24a8845a5409ac3d52de6 (patch) | |
tree | 807c897ca1001f22b1906d285488877a287b482b /examples | |
parent | 70e9bc21682f4eaedaceb632f594f588cb2c91fc (diff) | |
download | ComputeLibrary-86b53339679e12c952a24a8845a5409ac3d52de6.tar.gz |
COMPMID-514 (3RDPARTY_UPDATE)(DATA_UPDATE) Add support to load .npy data
* Add tensorflow_data_extractor script.
* Incorporate 3rdparty npy reader libnpy.
* Port AlexNet system test to validation_new.
* Port LeNet5 system test to validation_new.
* Update 3rdparty/ and data/ submodules.
Change-Id: I156d060fe9185cd8db810b34bf524cbf5cb34f61
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/84914
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'examples')
-rw-r--r-- | examples/neon_copy_objects.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/neon_copy_objects.cpp b/examples/neon_copy_objects.cpp index 191f455557..04024530d5 100644 --- a/examples/neon_copy_objects.cpp +++ b/examples/neon_copy_objects.cpp @@ -75,7 +75,7 @@ void main_neon_copy_objects(int argc, const char **argv) // 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 @@ void main_neon_copy_objects(int argc, const char **argv) // 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"; |