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-rw-r--r--arm_compute/core/TensorInfo.h100
1 files changed, 77 insertions, 23 deletions
diff --git a/arm_compute/core/TensorInfo.h b/arm_compute/core/TensorInfo.h
index a4330849bf..b18f750427 100644
--- a/arm_compute/core/TensorInfo.h
+++ b/arm_compute/core/TensorInfo.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2021 Arm Limited.
+ * Copyright (c) 2016-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,16 +24,14 @@
#ifndef ARM_COMPUTE_TENSORINFO_H
#define ARM_COMPUTE_TENSORINFO_H
-#include "arm_compute/core/ITensorInfo.h"
-
-#include "ITensorInfo.h"
#include "arm_compute/core/Coordinates.h"
#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensorInfo.h"
#include "arm_compute/core/Strides.h"
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
-#include "arm_compute/core/Utils.h"
+#include "ITensorInfo.h"
#include <cstddef>
#include <memory>
@@ -50,7 +48,7 @@ public:
/** Allow instances of this class to be copy constructed */
TensorInfo(const ITensorInfo &info);
/** Allow instances of this class to be copy constructed */
- TensorInfo(const TensorInfo &) = default;
+ TensorInfo(const TensorInfo &);
/** Allow instances of this class to be copied */
TensorInfo &operator=(const TensorInfo &) = default;
/** Allow instances of this class to be move constructed */
@@ -113,7 +111,10 @@ public:
* @param[in] data_type Data type to use for each tensor element
* @param[in] quantization_info The quantization settings for the tensor data.
*/
- TensorInfo(const TensorShape &tensor_shape, size_t num_channels, DataType data_type, QuantizationInfo quantization_info);
+ TensorInfo(const TensorShape &tensor_shape,
+ size_t num_channels,
+ DataType data_type,
+ QuantizationInfo quantization_info);
/** Initialize the tensor info with just a format.
*
@@ -137,7 +138,11 @@ public:
* @param[in] offset_first_element_in_bytes Offset in bytes from the beginning of memory allocation to access the first element.
* @param[in] total_size_in_bytes Size in bytes of the memory allocation (including the offset to the first element).
*/
- void init(const TensorShape &tensor_shape, Format format, const Strides &strides_in_bytes, size_t offset_first_element_in_bytes, size_t total_size_in_bytes);
+ void init(const TensorShape &tensor_shape,
+ Format format,
+ const Strides &strides_in_bytes,
+ size_t offset_first_element_in_bytes,
+ size_t total_size_in_bytes);
/** Initialize the tensor info with just a format.
*
@@ -165,8 +170,12 @@ public:
* @param[in] offset_first_element_in_bytes Offset in bytes from the beginning of memory allocation to access the first element.
* @param[in] total_size_in_bytes Size in bytes of the memory allocation (including the offset to the first element).
*/
- 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);
+ 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 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.
@@ -192,17 +201,19 @@ public:
// Inherited methods overridden:
std::unique_ptr<ITensorInfo> clone() const override;
- ITensorInfo &set_data_type(DataType data_type) override;
- ITensorInfo &set_num_channels(int num_channels) override;
- ITensorInfo &set_format(Format format) override;
- ITensorInfo &set_tensor_shape(const TensorShape &shape) override;
- ITensorInfo &set_tensor_dims_state(const TensorDimsState &state) override;
- ITensorInfo &set_quantization_info(const QuantizationInfo &quantization_info) override;
- ITensorInfo &set_data_layout(const DataLayout &data_layout) override;
- ITensorInfo &reset_padding() override;
- bool auto_padding() override;
- bool extend_padding(const PaddingSize &padding) override;
- size_t dimension(size_t index) const override
+ ITensorInfo &set_data_type(DataType data_type) override;
+ ITensorInfo &set_num_channels(int num_channels) override;
+ ITensorInfo &set_format(Format format) override;
+ ITensorInfo &set_tensor_shape(const TensorShape &shape) override;
+ ITensorInfo &set_tensor_dims_state(const TensorDimsState &state) override;
+ ITensorInfo &set_quantization_info(const QuantizationInfo &quantization_info) override;
+ ITensorInfo &set_data_layout(const DataLayout &data_layout) override;
+ ITensorInfo &reset_padding() override;
+ bool auto_padding() override;
+ ITensorInfo &set_lock_paddings(bool flag) override;
+ bool lock_paddings() const override;
+ bool extend_padding(const PaddingSize &padding) override;
+ size_t dimension(size_t index) const override
{
return _tensor_shape[index];
}
@@ -219,7 +230,7 @@ public:
return _offset_first_element_in_bytes;
}
int32_t offset_element_in_bytes(const Coordinates &pos) const override;
- size_t element_size() const override
+ size_t element_size() const override
{
return data_size_from_type(_data_type) * _num_channels;
}
@@ -265,7 +276,12 @@ public:
}
bool is_dynamic() const override
{
- return std::find(std::cbegin(_dims_state), std::cend(_dims_state), get_dynamic_state_value()) != std::cend(_dims_state);
+ return std::find(std::cbegin(_dims_state), std::cend(_dims_state), get_dynamic_state_value()) !=
+ std::cend(_dims_state);
+ }
+ bool are_values_constant() const override
+ {
+ return _are_values_constant;
}
ITensorInfo &set_is_resizable(bool is_resizable) override
{
@@ -288,6 +304,21 @@ public:
{
return _data_layout;
}
+ ITensorInfo &set_are_values_constant(bool are_values_constant) override
+ {
+ _are_values_constant = are_values_constant;
+ return *this;
+ }
+ ITensorInfo::Id id() const override
+ {
+ return _id;
+ }
+ ITensorInfo &set_id(ITensorInfo::Id id) override
+ {
+ _id = id;
+ return *this;
+ }
+ inline friend bool operator==(const TensorInfo &lhs, const TensorInfo &rhs);
private:
/** Calculates strides, offset and total size resulting from the specified padding around the XY plane.
@@ -309,6 +340,29 @@ private:
PaddingSize _padding;
QuantizationInfo _quantization_info;
DataLayout _data_layout;
+ bool _are_values_constant;
+ ITensorInfo::Id _id;
+ bool _lock_paddings;
};
+
+/** Check whether two tensor info are equal.
+ *
+ * @param[in] lhs LHS tensor info.
+ * @param[in] rhs RHS tensor info.
+ *
+ * @return True if the given tensor infos are the same.
+ */
+inline bool operator==(const TensorInfo &lhs, const TensorInfo &rhs)
+{
+ return (lhs._total_size == rhs._total_size) &&
+ (lhs._offset_first_element_in_bytes == rhs._offset_first_element_in_bytes) &&
+ (lhs._strides_in_bytes == rhs._strides_in_bytes) && (lhs._num_channels == rhs._num_channels) &&
+ (lhs._tensor_shape == rhs._tensor_shape) && (lhs._dims_state == rhs._dims_state) &&
+ (lhs._data_type == rhs._data_type) && (lhs._format == rhs._format) &&
+ (lhs._is_resizable == rhs._is_resizable) && (lhs._valid_region == rhs._valid_region) &&
+ (lhs._padding == rhs._padding) && (lhs._quantization_info == rhs._quantization_info) &&
+ (lhs._data_layout == rhs._data_layout) && (lhs._are_values_constant == rhs._are_values_constant) &&
+ (lhs._id == rhs._id);
+}
} // namespace arm_compute
#endif /*ARM_COMPUTE_TENSORINFO_H */