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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-01-09 17:33:11 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:47:40 +0000
commit78c009079654268cca9c22848e4fae9f222b100d (patch)
tree75caae296b8ad07e5ca8db5ceb3af5750e1fa3ce /arm_compute/core/utils/misc
parente4904c727933d8b6d79ec7a1fc3f371414a11a97 (diff)
downloadComputeLibrary-78c009079654268cca9c22848e4fae9f222b100d.tar.gz
COMPMID-754: Add validation to kernels.
Adds validation method to: - CLConvolutionLayer Change-Id: I95516e20cfb71c1e603c60fc6491ac695883a856 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/117355 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/utils/misc')
-rw-r--r--arm_compute/core/utils/misc/ShapeCalculator.h20
1 files changed, 20 insertions, 0 deletions
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index e51c6bbe98..c53ac4c71f 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -40,6 +40,17 @@ inline TensorShape compute_permutation_output_shape(const ITensorInfo &input, co
permute(output_shape, perm);
return output_shape;
}
+inline TensorShape compute_weights_reshaped_shape(const ITensorInfo &weights, bool has_bias = false)
+{
+ // Calculate output shape
+ TensorShape weights_reshaped{ weights.tensor_shape() };
+ weights_reshaped.collapse(3);
+ const size_t tmp_dim = weights_reshaped[0];
+ weights_reshaped.set(0, weights_reshaped[1]);
+ weights_reshaped.set(1, tmp_dim + (has_bias ? 1 : 0));
+
+ return weights_reshaped;
+}
inline TensorShape compute_interleaved_shape(const ITensorInfo &a, int mult_interleave4x4_height = 1)
{
// The interleaved output matrix will have the following shape: [ a_height * W, ceil(a_width / W) ] where W = 4 * mult_interleave4x4_height
@@ -101,6 +112,15 @@ inline TensorShape compute_im2col_shape(const ITensorInfo &input)
return shape_im2col;
}
+inline TensorShape compute_col2im_shape(const ITensorInfo &input, std::pair<unsigned int, unsigned int> convolved_dims)
+{
+ TensorShape col2im_shape{ input.tensor_shape() };
+ col2im_shape.set(0, convolved_dims.first);
+ col2im_shape.set(1, convolved_dims.second);
+ col2im_shape.set(2, input.tensor_shape()[0]);
+
+ return col2im_shape;
+}
inline TensorShape compute_transposed_shape(const ITensorInfo &input)
{
TensorShape shape_transposed{ input.tensor_shape() };