/// (height, width, depth).
Strides get_dilations(const Node& node, const std::size_t kernel_rank = 0UL);
+ /// \brief Gets the 'ceil_mode' (rounding type) attribute value.
+ ///
+ /// \param[in] node The ONNX node we query for attribute.
+ ///
+ /// \return The nGraph RoundingType object representing 'ceil_mode' attribute value.
+ ngraph::op::RoundingType get_rounding_type(const Node& node);
+
/// \brief Get padding values for the operation described by an ONNX node.
/// \details Values are taken from the `pads` attribute.
///
Shape m_padding_below;
Shape m_padding_above;
ngraph::op::PadType m_auto_pad;
+ ngraph::op::RoundingType m_rounding_type;
};
///
return detail::get_attribute_value(node, "dilations", kernel_rank);
}
+ ngraph::op::RoundingType get_rounding_type(const Node& node)
+ {
+ return static_cast<ngraph::op::RoundingType>(
+ node.get_attribute_value<std::int64_t>("ceil_mode", 0));
+ }
+
ngraph::op::PadType get_auto_pad(const Node& node)
{
// Default value means use explicitly provided padding values.
, m_strides{convpool::get_strides(node)}
, m_dilations{convpool::get_dilations(node)}
, m_auto_pad{convpool::get_auto_pad(node)}
+ , m_rounding_type{convpool::get_rounding_type(node)}
{
const auto paddings = convpool::get_pads(node);
const CoordinateDiff& padding_above{paddings.second};
m_padding_above,
m_kernel_shape,
!count_include_pad,
- ngraph::op::RoundingType::FLOOR,
+ m_rounding_type,
m_auto_pad)};
}
m_padding_below,
m_padding_above,
m_kernel_shape,
- ngraph::op::RoundingType::FLOOR,
+ m_rounding_type,
m_auto_pad)};
}
"OnnxBackendNodeModelTest.test_constantofshape_int_shape_zero_cpu",
"OnnxBackendNodeModelTest.test_gather_negative_indices_cpu"),
(xfail_issue_33616,
- "OnnxBackendNodeModelTest.test_maxpool_2d_ceil_cpu",
- "OnnxBackendNodeModelTest.test_maxpool_2d_dilations_cpu",
- "OnnxBackendNodeModelTest.test_averagepool_2d_ceil_cpu"),
+ "OnnxBackendNodeModelTest.test_maxpool_2d_dilations_cpu"),
(xfail_issue_38086,
"OnnxBackendNodeModelTest.test_dynamicquantizelinear_min_adjusted_expanded_cpu",
"OnnxBackendNodeModelTest.test_dynamicquantizelinear_expanded_cpu",