[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>
This commit is contained in:
Roman Kazantsev 2023-03-31 19:44:58 +04:00 committed by GitHub
parent c33a3f87f0
commit 9a5a8f6abc
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4 changed files with 41 additions and 24 deletions

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@ -18,11 +18,13 @@ ov::pass::ConvertTopK11ToTopK3::ConvertTopK11ToTopK3() {
const matcher_pass_callback callback = [=](pattern::Matcher& m) {
const auto topk_v11 = std::dynamic_pointer_cast<opset11::TopK>(m.get_match_root());
if (!topk_v11 || topk_v11->get_stable() || transformation_callback(topk_v11)) {
if (!topk_v11 || transformation_callback(topk_v11)) {
return false;
}
// downgrade only if the stable sort is NOT required
// downgrade even if stable attribute is True
// this is needed to provide backward-compatibility
// and operation working in the plugins that have not yet added stable mode
const auto topk_v3 = std::make_shared<opset3::TopK>(topk_v11->input_value(0),
topk_v11->input_value(1),

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@ -47,18 +47,34 @@ TEST_F(TransformationTestsF, ConvertTopK11ToTopK3) {
}
}
TEST_F(TransformationTestsF, ConvertTopK11ToTopK3_fail) {
const auto input = std::make_shared<ov::opset11::Parameter>(ov::element::i32, ov::Shape{2, 3, 4});
const auto k = std::make_shared<ov::opset11::Parameter>(ov::element::i8, ov::Shape{});
const auto topk = std::make_shared<ov::opset11::TopK>(input,
k,
-2,
ov::op::TopKMode::MAX,
ov::op::TopKSortType::SORT_VALUES,
ov::element::i64,
true); // stable sort on
topk->set_friendly_name("topk11");
TEST_F(TransformationTestsF, ConvertTopK11ToTopK3StableMode) {
{
const auto input = std::make_shared<ov::opset11::Parameter>(ov::element::i32, ov::Shape{2, 3, 4});
const auto k = std::make_shared<ov::opset11::Parameter>(ov::element::i8, ov::Shape{});
const auto topk = std::make_shared<ov::opset11::TopK>(input,
k,
-2,
ov::op::TopKMode::MAX,
ov::op::TopKSortType::SORT_VALUES,
ov::element::i64,
true);
topk->set_friendly_name("topk11");
function = std::make_shared<ov::Model>(topk->outputs(), ov::ParameterVector{input, k});
manager.register_pass<ov::pass::ConvertTopK11ToTopK3>();
function = std::make_shared<ov::Model>(topk->outputs(), ov::ParameterVector{input, k});
manager.register_pass<ov::pass::ConvertTopK11ToTopK3>();
}
{
const auto input = std::make_shared<ov::opset3::Parameter>(ov::element::i32, ov::Shape{2, 3, 4});
const auto k = std::make_shared<ov::opset3::Parameter>(ov::element::i8, ov::Shape{});
const auto topk = std::make_shared<ov::opset3::TopK>(input,
k,
-2,
ov::op::TopKMode::MAX,
ov::op::TopKSortType::SORT_VALUES,
ov::element::i64);
topk->set_friendly_name("topk11");
function_ref = std::make_shared<ov::Model>(topk->outputs(), ov::ParameterVector{input, k});
}
}

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@ -3,10 +3,10 @@
//
#include "common_op_table.hpp"
#include "openvino/opsets/opset8.hpp"
#include "openvino/opsets/opset11.hpp"
using namespace std;
using namespace ov::opset8;
using namespace ov::opset11;
namespace ov {
namespace frontend {
@ -23,10 +23,12 @@ OutputVector translate_top_k_base_op(const NodeContext& node, const ov::Output<o
-1,
ov::op::v1::TopK::Mode::MAX,
sorted ? TopK::SortType::SORT_VALUES : TopK::SortType::SORT_INDICES,
ov::element::i32);
ov::element::i32,
true);
set_node_name(node.get_name(), top_k);
return top_k->outputs();
}
OutputVector translate_top_k_op(const NodeContext& node) {
// retrieve k attribute
auto k = node.get_attribute<int64_t>("k");
@ -39,7 +41,6 @@ OutputVector translate_top_k_v2_op(const NodeContext& node) {
auto k_input = node.get_input(1);
return translate_top_k_base_op(node, k_input, 1);
}
} // namespace op
} // namespace tensorflow
} // namespace frontend

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@ -36,13 +36,11 @@ class TestTopKV2(CommonTFLayerTest):
dict(input_shape=[10], input_type=tf.float32, k=5, sorted=True, is_first_output=True, is_second_output=False),
dict(input_shape=[2, 3, 10], input_type=tf.int32, k=10, sorted=True, is_first_output=True,
is_second_output=False),
# Currently, OpenVINO TopK supports only TensorFlow TopK with sorted=True and the first output
# For other cases, we need to introduce new version of TopK in OpenVINO opset due to multiple misalignments
# described in 88024
# Expect stable mode support by the CPU plugin. See 101503
pytest.param(dict(input_shape=[4, 12], input_type=tf.float32, k=10, sorted=True, is_first_output=True,
is_second_output=True), marks=pytest.mark.xfail(reason="88024")),
is_second_output=True), marks=pytest.mark.xfail(reason="101503")),
pytest.param(dict(input_shape=[5, 10], input_type=tf.int32, k=8, sorted=False, is_first_output=True,
is_second_output=True), marks=pytest.mark.xfail(reason="88024")),
is_second_output=True), marks=pytest.mark.xfail(reason="101503")),
]
@pytest.mark.parametrize("params", test_basic)