[TF FE] Move to TopK-11 operation and update downgrading TopK transformation (#16590)
* [TF FE] Move to TopK-11 operation Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Update downgrading transformation --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
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@ -18,11 +18,13 @@ ov::pass::ConvertTopK11ToTopK3::ConvertTopK11ToTopK3() {
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const matcher_pass_callback callback = [=](pattern::Matcher& m) {
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const auto topk_v11 = std::dynamic_pointer_cast<opset11::TopK>(m.get_match_root());
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if (!topk_v11 || topk_v11->get_stable() || transformation_callback(topk_v11)) {
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if (!topk_v11 || transformation_callback(topk_v11)) {
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return false;
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}
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// downgrade only if the stable sort is NOT required
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// downgrade even if stable attribute is True
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// this is needed to provide backward-compatibility
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// and operation working in the plugins that have not yet added stable mode
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const auto topk_v3 = std::make_shared<opset3::TopK>(topk_v11->input_value(0),
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topk_v11->input_value(1),
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@ -47,18 +47,34 @@ TEST_F(TransformationTestsF, ConvertTopK11ToTopK3) {
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}
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}
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TEST_F(TransformationTestsF, ConvertTopK11ToTopK3_fail) {
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const auto input = std::make_shared<ov::opset11::Parameter>(ov::element::i32, ov::Shape{2, 3, 4});
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const auto k = std::make_shared<ov::opset11::Parameter>(ov::element::i8, ov::Shape{});
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const auto topk = std::make_shared<ov::opset11::TopK>(input,
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k,
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-2,
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ov::op::TopKMode::MAX,
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ov::op::TopKSortType::SORT_VALUES,
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ov::element::i64,
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true); // stable sort on
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topk->set_friendly_name("topk11");
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TEST_F(TransformationTestsF, ConvertTopK11ToTopK3StableMode) {
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{
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const auto input = std::make_shared<ov::opset11::Parameter>(ov::element::i32, ov::Shape{2, 3, 4});
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const auto k = std::make_shared<ov::opset11::Parameter>(ov::element::i8, ov::Shape{});
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const auto topk = std::make_shared<ov::opset11::TopK>(input,
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k,
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-2,
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ov::op::TopKMode::MAX,
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ov::op::TopKSortType::SORT_VALUES,
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ov::element::i64,
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true);
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topk->set_friendly_name("topk11");
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function = std::make_shared<ov::Model>(topk->outputs(), ov::ParameterVector{input, k});
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manager.register_pass<ov::pass::ConvertTopK11ToTopK3>();
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function = std::make_shared<ov::Model>(topk->outputs(), ov::ParameterVector{input, k});
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manager.register_pass<ov::pass::ConvertTopK11ToTopK3>();
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}
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{
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const auto input = std::make_shared<ov::opset3::Parameter>(ov::element::i32, ov::Shape{2, 3, 4});
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const auto k = std::make_shared<ov::opset3::Parameter>(ov::element::i8, ov::Shape{});
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const auto topk = std::make_shared<ov::opset3::TopK>(input,
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k,
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-2,
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ov::op::TopKMode::MAX,
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ov::op::TopKSortType::SORT_VALUES,
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ov::element::i64);
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topk->set_friendly_name("topk11");
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function_ref = std::make_shared<ov::Model>(topk->outputs(), ov::ParameterVector{input, k});
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}
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}
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@ -3,10 +3,10 @@
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//
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#include "common_op_table.hpp"
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#include "openvino/opsets/opset8.hpp"
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#include "openvino/opsets/opset11.hpp"
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using namespace std;
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using namespace ov::opset8;
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using namespace ov::opset11;
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namespace ov {
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namespace frontend {
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@ -23,10 +23,12 @@ OutputVector translate_top_k_base_op(const NodeContext& node, const ov::Output<o
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-1,
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ov::op::v1::TopK::Mode::MAX,
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sorted ? TopK::SortType::SORT_VALUES : TopK::SortType::SORT_INDICES,
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ov::element::i32);
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ov::element::i32,
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true);
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set_node_name(node.get_name(), top_k);
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return top_k->outputs();
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}
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OutputVector translate_top_k_op(const NodeContext& node) {
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// retrieve k attribute
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auto k = node.get_attribute<int64_t>("k");
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@ -39,7 +41,6 @@ OutputVector translate_top_k_v2_op(const NodeContext& node) {
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auto k_input = node.get_input(1);
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return translate_top_k_base_op(node, k_input, 1);
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}
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} // namespace op
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} // namespace tensorflow
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} // namespace frontend
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@ -36,13 +36,11 @@ class TestTopKV2(CommonTFLayerTest):
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dict(input_shape=[10], input_type=tf.float32, k=5, sorted=True, is_first_output=True, is_second_output=False),
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dict(input_shape=[2, 3, 10], input_type=tf.int32, k=10, sorted=True, is_first_output=True,
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is_second_output=False),
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# Currently, OpenVINO TopK supports only TensorFlow TopK with sorted=True and the first output
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# For other cases, we need to introduce new version of TopK in OpenVINO opset due to multiple misalignments
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# described in 88024
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# Expect stable mode support by the CPU plugin. See 101503
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pytest.param(dict(input_shape=[4, 12], input_type=tf.float32, k=10, sorted=True, is_first_output=True,
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is_second_output=True), marks=pytest.mark.xfail(reason="88024")),
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is_second_output=True), marks=pytest.mark.xfail(reason="101503")),
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pytest.param(dict(input_shape=[5, 10], input_type=tf.int32, k=8, sorted=False, is_first_output=True,
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is_second_output=True), marks=pytest.mark.xfail(reason="88024")),
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is_second_output=True), marks=pytest.mark.xfail(reason="101503")),
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]
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@pytest.mark.parametrize("params", test_basic)
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