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authorGeorgios Pinitas <georgios.pinitas@arm.com>2021-03-30 10:03:01 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-03-31 11:44:07 +0000
commitc6f9510bcb754afaadfe9477ff85d6c55ffcf43b (patch)
treec1b08777a93ab9d2e334c71acf30f337bdb3feda /arm_compute/core/TensorInfo.h
parent2788609b8a10306e9eae47543b39812a7b075aaa (diff)
downloadComputeLibrary-c6f9510bcb754afaadfe9477ff85d6c55ffcf43b.tar.gz
Remove Computer Vision generic interfaces and types
Removes: - reference validation routines - CV related types and structures - CV related interfaces Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I3a203da12d9b04c154059b190aeba18a611149a9 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5340 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/TensorInfo.h')
-rw-r--r--arm_compute/core/TensorInfo.h28
1 files changed, 0 insertions, 28 deletions
diff --git a/arm_compute/core/TensorInfo.h b/arm_compute/core/TensorInfo.h
index 633daca063..a4330849bf 100644
--- a/arm_compute/core/TensorInfo.h
+++ b/arm_compute/core/TensorInfo.h
@@ -39,8 +39,6 @@
namespace arm_compute
{
-class HOGInfo;
-
/** Store the tensor's metadata */
class TensorInfo final : public ITensorInfo
{
@@ -117,14 +115,6 @@ public:
*/
TensorInfo(const TensorShape &tensor_shape, size_t num_channels, DataType data_type, QuantizationInfo quantization_info);
- /** Constructor
- *
- * @param[in] hog_info HOG's metadata used to allocate normalized HOG space
- * @param[in] width Width of the 2D tensor where the HOG descriptor will be computed on
- * @param[in] height Height of the 2D tensor where the HOG descriptor will be computed on
- */
- TensorInfo(const HOGInfo &hog_info, unsigned int width, unsigned int height);
-
/** Initialize the tensor info with just a format.
*
* Can be used for automatic derivation of the shape by the function.
@@ -177,13 +167,6 @@ public:
*/
void init(const TensorShape &tensor_shape, size_t num_channels, DataType data_type, const Strides &strides_in_bytes, size_t offset_first_element_in_bytes,
size_t total_size_in_bytes);
- /** Initialize the metadata structure for the given HOG's metadata
- *
- * @param[in] hog_info HOG's metadata used to allocate normalized HOG space
- * @param[in] width Width of the 2D tensor where the HOG descriptor will be computed on
- * @param[in] height Height of the 2D tensor where the HOG descriptor will be computed on
- */
- void init(const HOGInfo &hog_info, unsigned int width, unsigned int height);
/** Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated)
*
* @note The padding used by this method is really conservative so that the tensor can be used for most functions.
@@ -206,17 +189,6 @@ public:
* @return Total allocation size including padding in bytes.
*/
size_t init_auto_padding(const TensorShape &tensor_shape, size_t num_channels, DataType data_type);
- /** Initialize the metadata structure for the given HOG's metadata
- *
- * @note init_auto_padding will be used for the tensor initialization.
- *
- * @param[in] hog_info HOG's metadata used to allocate normalized HOG space
- * @param[in] width Width of the 2D tensor where the HOG descriptor will be computed on
- * @param[in] height Height of the 2D tensor where the HOG descriptor will be computed on
- *
- * @return Total allocation size including padding in bytes.
- */
- size_t init_auto_padding(const HOGInfo &hog_info, unsigned int width, unsigned int height);
// Inherited methods overridden:
std::unique_ptr<ITensorInfo> clone() const override;