namespace ov::op::convolution

Overview

namespace convolution {

// namespaces

namespace ov::op::convolution::validate;

// global variables

constexpr auto num_spatial_undefined = util::num_spatial_undefined;
constexpr size_t spatial_dim_offset = 2;

// global functions

template <
    class TOp,
    class TShape,
    typename std::enable_if<std::is_base_of<util::ConvolutionBackPropBase, TOp>::value>::type \* = nullptr
    >
size_t calculate_num_spatial(
    const TOp \* op,
    const std::vector<TShape>& input_shapes,
    const TShape& out_spatial_shape
    );

template <class TOp, class TShape, class TIter>
void apply_auto_pad(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    const TShape& out_spatial_shape,
    TIter pads_begin,
    TIter pads_end
    );

template <class TShape>
void apply_padding(
    const util::ConvolutionBackPropBase \* op,
    const std::vector<TShape>& input_shapes,
    const TShape& out_spatial_shape,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end
    );

template <
    class TOp,
    class TShape,
    class TContainer,
    typename std::enable_if<std::is_base_of<ov::op::util::ConvolutionBackPropBase, TOp>::value>::type \* = nullptr
    >
void append_spatial_shape(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    const TContainer& pads_begin,
    const TContainer& pads_end,
    TShape& out_shape
    );

template <class TConv>
constexpr size_t filter_non_spatial_dims_count();

template <class TOp>
bool is_auto_pad(const TOp \* op);

void resize_empty_padding(
    const size_t num_spatial,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end
    );

size_t num_spatial_from_attr(const util::ConvolutionBase \* op);

template <
    class TOp,
    class TShape,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value>::type \* = nullptr
    >
size_t calculate_num_spatial(
    const TOp \* op,
    const std::vector<TShape>& input_shapes
    );

template <
    class TOp,
    class TShape,
    class TIter,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value||std::is_base_of<util::DeformableConvolutionBase, TOp>::value>::type \* = nullptr
    >
void apply_auto_pad(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    TIter pads_begin,
    TIter pads_end
    );

template <
    class TOp,
    class TShape,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value||std::is_base_of<util::DeformableConvolutionBase, TOp>::value>::type \* = nullptr
    >
void apply_padding(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end
    );

template <
    class TOp,
    class TShape,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value||std::is_base_of<util::DeformableConvolutionBase, TOp>::value>::type \* = nullptr
    >
void append_spatial_shape(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end,
    TShape& out_shape
    );

constexpr size_t filter_non_spatial_dims_count< v1::GroupConvolutionBackpropData >();
constexpr size_t filter_non_spatial_dims_count< v1::GroupConvolution >();

} // namespace convolution

Detailed Documentation

Global Functions

template <class TOp, class TShape, class TIter>
void apply_auto_pad(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    const TShape& out_spatial_shape,
    TIter pads_begin,
    TIter pads_end
    )

Apply auto padding for backward convolution.

The auto padding can be applied only if inputs and attributes of operator are validated. The input shapes must have got static ranks.

Parameters:

op	Pointer to convolution operator.
data_shape	Input data shape (must be static rank).
filters_shape	Input filter shape (must be static rank).
out_spatial_shape	Reference to input with out spatial shape.
pads_begin	Iterator to begin of pads begin.
pads_end	Iterator to begin of pads end.

template <class TShape>
void apply_padding(
    const util::ConvolutionBackPropBase \* op,
    const std::vector<TShape>& input_shapes,
    const TShape& out_spatial_shape,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end
    )

Apply auto padding for back propagation convolutions.

Parameters:

TShape	Shape type.
op	Pointer to back propagation convolution operator.
data_shape	Input data shape.
filters_shape	Input filter shape.
out_spatial_shape	Input output spatial shape.

template <
    class TOp,
    class TShape,
    class TContainer,
    typename std::enable_if<std::is_base_of<ov::op::util::ConvolutionBackPropBase, TOp>::value>::type \* = nullptr
    >
void append_spatial_shape(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    const TContainer& pads_begin,
    const TContainer& pads_end,
    TShape& out_shape
    )

Append spatial dimension at end of output shape of back propagation convolution.

Parameters:

TOp	Back propagation convolution operator type.
TShape	Type of shape.
op	Pointer to operator.
data_shape	Input data shape.
filters_shape	Input filter shape.
out_shape	Output shape to append spatial dimensions.

template <class TConv>
constexpr size_t filter_non_spatial_dims_count()

Provides convolution filter non spatial dimension count.

If specific convolution operator requires different value provide specialization for this operator.

Parameters:

TConv

Type of convolution operator.

Returns:

Default value for convolution operators (2).

template <class TOp>
bool is_auto_pad(const TOp \* op)

Checks if Op property auto_pad is set to same lower or upper.

Parameters:

TOp	Type of operator (must have get_auto_pad member function).
op	Pointer to operator.

Returns:

True if auto pad enabled.

void resize_empty_padding(
    const size_t num_spatial,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end
    )

Resize paddings if empty to number of spatial dimensions.

Parameters:

num_spatial	Number of spatial dimensions.
pads_begin	Begin padding to resize.
pads_end	End padding to resize.

template <
    class TOp,
    class TShape,
    class TIter,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value||std::is_base_of<util::DeformableConvolutionBase, TOp>::value>::type \* = nullptr
    >
void apply_auto_pad(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    TIter pads_begin,
    TIter pads_end
    )

Apply auto padding for forward convolution.

The auto padding can be applied only if inputs and attributes of operator are validated. The input shapes must have got static ranks.

Parameters:

op	Pointer to convolution operator.
data_shape	Input data shape (must be static rank).
filters_shape	Input filter shape (must be static rank).
pads_begin	Iterator to begin of pads begin.
pads_end	Iterator to begin of pads end.

template <
    class TOp,
    class TShape,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value||std::is_base_of<util::DeformableConvolutionBase, TOp>::value>::type \* = nullptr
    >
void apply_padding(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end
    )

Apply padding to forward propagation convolution besed on padding.

Parameters:

TShape
op	Pointer to coevolution operator.
data_shape	Input data shapes for shape inference.
filters_shape	Input filters shape for shape inference.
pads_begin	Begin padding to updated.
pads_end	End padding to update.

template <
    class TOp,
    class TShape,
    typename std::enable_if<std::is_base_of<util::ConvolutionFwdPropBase, TOp>::value||std::is_base_of<util::DeformableConvolutionBase, TOp>::value>::type \* = nullptr
    >
void append_spatial_shape(
    const TOp \* op,
    const TShape& data_shape,
    const TShape& filters_shape,
    CoordinateDiff& pads_begin,
    CoordinateDiff& pads_end,
    TShape& out_shape
    )

Append spatial dimension at end of output shape of forward propagation convolution.

Parameters:

TOp	Forward propagation convolution operator type.
TShape	Type of shape.
op	Pointer to operator.
data_shape	Input data shape.
filters_shape	Input filter shape.
out_shape	Output shape to append spatial dimensions.

constexpr size_t filter_non_spatial_dims_count< v1::GroupConvolutionBackpropData >()

Defines non-spatial dimension for filters for group convolution back propagation operator.

Returns:

Value of non-spatial filter dimensions (3).

constexpr size_t filter_non_spatial_dims_count< v1::GroupConvolution >()

Defines non-spatial dimension for filters for group convolution operator.

Returns:

Value of non-spatial filter dimensions (3).