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Maxpool-8 shell (openvinotoolkit#6332)
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* Initial version of v8::MaxPool op class

* Type instead of Type_t to indicate element type

* Attribute visitor test

* Common MaxPoolBase base class

* More refactoring

* v8::MaxPool cleanup

* Pooling ops inference helper extension - window dilation

* New MaxPool 3D type prop tests

* Common part of MaxPool validation part extracted to the base class

* MaxPool-8 shape inference with base class utils

* infer_batched_pooling_forward arguments reorder to avoid compilation errors

* Align the rounding type attribute name for both MaxPool version

* MaxPool-8 axis attribute

* Missing attributes

* Code formatting

* PR feedback

* MaxPool-1 RTTI definition adjustment
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Tomasz Dołbniak authored and akuporos committed Sep 29, 2021
1 parent af76c3d commit efe071a
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Showing 10 changed files with 548 additions and 169 deletions.
120 changes: 82 additions & 38 deletions ngraph/core/include/ngraph/op/max_pool.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,9 @@

#pragma once

#include "ngraph/op/op.hpp"
#include "ngraph/op/util/attr_types.hpp"
#include <limits>

#include "ngraph/op/util/max_pool_base.hpp"

namespace ngraph
{
Expand All @@ -14,7 +15,7 @@ namespace ngraph
namespace v1
{
/// \brief Batched max pooling operation.
class NGRAPH_API MaxPool : public Op
class NGRAPH_API MaxPool : public op::util::MaxPoolBase
{
public:
NGRAPH_RTTI_DECLARATION;
Expand All @@ -29,44 +30,23 @@ namespace ngraph
/// \param pads_begin The beginning of padding shape.
/// \param pads_end The end of padding shape.
/// \param kernel The kernel shape.
/// \param rounding_mode Whether to use ceiling or floor rounding type while
/// \param rounding_type Whether to use ceiling or floor rounding type while
/// computing output shape.
/// \param auto_pad The pad type for automatically computing padding sizes.
MaxPool(const Output<Node>& arg,
const Strides& strides,
const Shape& pads_begin,
const Shape& pads_end,
const Shape& kernel,
op::RoundingType rounding_mode = op::RoundingType::FLOOR,
const PadType& auto_pad = op::PadType::EXPLICIT);
const op::RoundingType rounding_type = op::RoundingType::FLOOR,
const PadType auto_pad = op::PadType::EXPLICIT);

bool visit_attributes(AttributeVisitor& visitor) override;
void validate_and_infer_types() override;

virtual std::shared_ptr<Node>
clone_with_new_inputs(const OutputVector& new_args) const override;

/// \return The kernel shape.
const Shape& get_kernel() const { return m_kernel; }
void set_kernel(const Shape& kernel) { m_kernel = kernel; }
/// \return The strides.
const Strides& get_strides() const { return m_strides; }
void set_strides(const Strides& strides) { m_strides = strides; }
/// \return The beginning of padding shape.
const Shape& get_pads_begin() const { return m_pads_begin; }
void set_pads_begin(const Shape& pads_begin) { m_pads_begin = pads_begin; }
/// \return The end of padding shape.
const Shape& get_pads_end() const { return m_pads_end; }
void set_adding_above(const Shape& pads_end) { m_pads_end = pads_end; }
/// \return The pad type for pooling.
const PadType& get_auto_pad() const { return m_auto_pad; }
void set_auto_pad(const PadType& auto_pad) { m_auto_pad = auto_pad; }
/// \return The ceiling mode being used for output shape computations
op::RoundingType get_rounding_type() const { return m_rounding_type; }
void set_rounding_type(op::RoundingType rounding_mode)
{
m_rounding_type = rounding_mode;
}
/// \return The default value for MaxPool.
NGRAPH_SUPPRESS_DEPRECATED_START
virtual std::shared_ptr<Node> get_default_value() const override;
Expand All @@ -76,21 +56,85 @@ namespace ngraph
const HostTensorVector& inputs) const override;
bool has_evaluate() const override;

protected:
Shape m_kernel;
Strides m_strides;
Shape m_pads_begin;
Shape m_pads_end;
PadType m_auto_pad;
op::RoundingType m_rounding_type;

private:
bool update_auto_padding(const PartialShape& in_shape,
Shape& new_pads_end,
Shape& new_pads_begin) const;
bool evaluate_maxpool(const HostTensorVector& outputs,
const HostTensorVector& inputs) const;
};
} // namespace v1

namespace v8
{
/// \brief MaxPooling operation with values and indices calculated as individual outputs
class NGRAPH_API MaxPool : public op::util::MaxPoolBase
{
public:
NGRAPH_RTTI_DECLARATION;

/// \brief Constructs an empty MaxPool operation.
MaxPool() = default;

/// \brief Constructs a parametrized MaxPool operation.
///
/// \param arg Output of a node producing the feature tensor to be pooled.
/// \param strides The strides of the pooling filter.
/// \param dilations The dilations of the pooling filter.
/// \param pads_begin Paddings at the beginning of each spatial axis.
/// \param pads_end Paddings at the end of each spatial axis.
/// \param kernel The kernel shape.
/// \param rounding_type Whether to use ceiling or floor rounding type while
/// computing the output shape.
/// \param auto_pad The pad type for automatic calculation of the padding sizes.
/// \param index_element_type The data type used by the second output tensor
/// containing the selected indices.
/// \param axis Indicates a dimension in the input data shape which should be used
/// as a starting point for calculation of the upper bound of allowed
/// values of the indices output.
MaxPool(const Output<Node>& arg,
const Strides& strides,
const Strides& dilations,
const Shape& pads_begin,
const Shape& pads_end,
const Shape& kernel,
const op::RoundingType rounding_type = op::RoundingType::FLOOR,
const PadType auto_pad = op::PadType::EXPLICIT,
const element::Type index_element_type = element::i64,
const int64_t axis = 0,
const float pads_value = -std::numeric_limits<float>::infinity());

bool visit_attributes(AttributeVisitor& visitor) override;
void validate_and_infer_types() override;

virtual std::shared_ptr<Node>
clone_with_new_inputs(const OutputVector& new_args) const override;

/// \return The pooling filter's dilations.
const Strides& get_dilations() const noexcept { return m_dilations; }
void set_dilations(const Strides& dilations) { m_dilations = dilations; }

/// \return The data type of the second output tensor (indices).
element::Type get_index_element_type() const noexcept
{
return m_index_element_type;
}
void set_index_element_type(const element::Type index_element_type)
{
m_index_element_type = index_element_type;
}

// \return The 'axis' attribute value.
int64_t get_axis() const { return m_axis; }
void set_axis(const int64_t axis) { m_axis = axis; }

// \return The value stored in the padding cells.
float get_pads_value() const { return m_pads_value; }
void set_pads_value(const float pads_value) { m_pads_value = pads_value; }

private:
Strides m_dilations;
element::Type m_index_element_type{element::i32};
int64_t m_axis{0};
float m_pads_value{-std::numeric_limits<float>::infinity()};
};
} // namespace v8
} // namespace op
} // namespace ngraph
79 changes: 79 additions & 0 deletions ngraph/core/include/ngraph/op/util/max_pool_base.hpp
Original file line number Diff line number Diff line change
@@ -0,0 +1,79 @@
// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//

#pragma once

#include "ngraph/op/op.hpp"
#include "ngraph/op/util/attr_types.hpp"

namespace ngraph
{
namespace op
{
namespace util
{
class NGRAPH_API MaxPoolBase : public Op
{
public:
NGRAPH_RTTI_DECLARATION;
MaxPoolBase() = default;

/// \param arg The node producing the input data batch tensor.
/// \param strides The strides.
/// \param pads_begin The beginning of padding shape.
/// \param pads_end The end of padding shape.
/// \param kernel The kernel shape.
/// \param rounding_mode Whether to use ceiling or floor rounding type while
/// computing output shape.
/// \param auto_pad The pad type for automatically computing padding sizes.
MaxPoolBase(const Output<Node>& arg,
const Strides& strides,
const Shape& pads_begin,
const Shape& pads_end,
const Shape& kernel,
const op::RoundingType rounding_mode = op::RoundingType::FLOOR,
const PadType auto_pad = op::PadType::EXPLICIT);

void validate_and_infer_types() override;

/// \return The kernel shape.
const Shape& get_kernel() const { return m_kernel; }
void set_kernel(const Shape& kernel) { m_kernel = kernel; }
/// \return The strides.
const Strides& get_strides() const { return m_strides; }
void set_strides(const Strides& strides) { m_strides = strides; }
/// \return The beginning of padding shape.
const Shape& get_pads_begin() const { return m_pads_begin; }
void set_pads_begin(const Shape& pads_begin) { m_pads_begin = pads_begin; }
/// \return The end of padding shape.
const Shape& get_pads_end() const { return m_pads_end; }
void set_adding_above(const Shape& pads_end) { m_pads_end = pads_end; }
/// \return The pad type for pooling.
PadType get_auto_pad() const { return m_auto_pad; }
void set_auto_pad(const PadType auto_pad) { m_auto_pad = auto_pad; }
/// \return The ceiling mode being used for output shape computations
op::RoundingType get_rounding_type() const { return m_rounding_type; }
void set_rounding_type(op::RoundingType rounding_type)
{
m_rounding_type = rounding_type;
}

protected:
bool update_auto_padding(const PartialShape& in_shape,
const Strides& filter_dilations,
Shape& new_pads_end,
Shape& new_pads_begin) const;

PartialShape infer_output_shape(const Strides& dilations);

Shape m_kernel;
Strides m_strides;
Shape m_pads_begin;
Shape m_pads_end;
PadType m_auto_pad;
op::RoundingType m_rounding_type;
};
} // namespace util
} // namespace op
} // namespace ngraph
2 changes: 1 addition & 1 deletion ngraph/core/include/ngraph/opsets/opset8_tbl.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -58,7 +58,6 @@ NGRAPH_OP(LogicalXor, ngraph::op::v1)
NGRAPH_OP(LRN, ngraph::op::v0)
NGRAPH_OP(LSTMCell, ngraph::op::v4)
NGRAPH_OP(MatMul, ngraph::op::v0)
NGRAPH_OP(MaxPool, ngraph::op::v1)
NGRAPH_OP(Maximum, ngraph::op::v1)
NGRAPH_OP(Minimum, ngraph::op::v1)
NGRAPH_OP(Mod, ngraph::op::v1)
Expand Down Expand Up @@ -180,5 +179,6 @@ NGRAPH_OP(AdaptiveAvgPool, ngraph::op::v8)
NGRAPH_OP(AdaptiveMaxPool, ngraph::op::v8)
NGRAPH_OP(DeformableConvolution, ngraph::op::v8)
NGRAPH_OP(MatrixNms, ngraph::op::v8)
NGRAPH_OP(MaxPool, ngraph::op::v8)
NGRAPH_OP(MulticlassNms, ngraph::op::v8)
NGRAPH_OP(RandomUniform, ngraph::op::v8)
3 changes: 2 additions & 1 deletion ngraph/core/include/ngraph/validation_util.hpp
Original file line number Diff line number Diff line change
Expand Up @@ -85,7 +85,8 @@ namespace ngraph
const PartialShape& window_shape,
const Strides& window_strides,
bool is_window_all_in_padding_allowed,
bool ceil_mode = false);
bool ceil_mode = false,
const Strides& window_dilation = Strides{});

NGRAPH_API
std::tuple<element::Type, PartialShape, PartialShape>
Expand Down
3 changes: 2 additions & 1 deletion ngraph/core/src/op/avg_pool.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,8 @@ void op::v1::AvgPool::validate_and_infer_types()
m_kernel,
m_strides,
!m_exclude_pad,
m_rounding_type == op::RoundingType::CEIL)
m_rounding_type == op::RoundingType::CEIL,
Strides{}) // no dilation of the window
: output_shape);
}

Expand Down
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