[CPU] fix: supported Tile with more than 5 dims (#2062)

This commit is contained in:
Anton Voronov 2020-09-07 15:39:19 +03:00 committed by GitHub
parent cba0892832
commit 7c95e8f8ff
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
6 changed files with 146 additions and 15 deletions

View File

@ -45,21 +45,7 @@ void MKLDNNTileNode::initSupportedPrimitiveDescriptors() {
auto outputDataType = MKLDNNExtensionUtils::IEPrecisionToDataType(precision);
auto& inDims = getParentEdgeAt(0)->getDims();
memory::format fmt = memory::format::any;
if (inDims.ndims() == 1) {
fmt = memory::format::x;
} else if (inDims.ndims() == 2) {
fmt = memory::format::nc;
} else if (inDims.ndims() == 3) {
fmt = memory::format::tnc;
} else if (inDims.ndims() == 4) {
fmt = memory::format::nchw;
} else if (inDims.ndims() == 5) {
fmt = memory::format::ncdhw;
}
if (fmt == memory::format::any) {
THROW_IE_EXCEPTION << "Tile " << getName() << " supports only 2D, 4D and 5D dimensions!";
}
memory::format fmt = MKLDNNMemory::GetPlainFormat(inDims);
InferenceEngine::LayerConfig config;
config.dynBatchSupport = true;

View File

@ -0,0 +1,40 @@
// Copyright (C) 2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <vector>
#include "single_layer_tests/tile.hpp"
using namespace LayerTestsDefinitions;
namespace {
const std::vector<InferenceEngine::Precision> netPrecisions = {
InferenceEngine::Precision::FP32
};
const std::vector<std::vector<size_t>> repeats = {
{1, 2, 3},
{2, 1, 1},
{2, 3, 1},
{2, 2, 2},
};
INSTANTIATE_TEST_CASE_P(Tile, TileLayerTest,
::testing::Combine(
::testing::ValuesIn(repeats),
::testing::ValuesIn(netPrecisions),
::testing::Values(std::vector<size_t>({2, 3, 4})),
::testing::Values(CommonTestUtils::DEVICE_CPU)),
TileLayerTest::getTestCaseName);
INSTANTIATE_TEST_CASE_P(Tile6d, TileLayerTest,
::testing::Combine(
::testing::Values(std::vector<size_t>({1, 1, 1, 2, 1, 2})),
::testing::ValuesIn(netPrecisions),
::testing::Values(std::vector<size_t>({1, 4, 3, 1, 3, 1})),
::testing::Values(CommonTestUtils::DEVICE_CPU)),
TileLayerTest::getTestCaseName);
} // namespace

View File

@ -0,0 +1,34 @@
// Copyright (C) 2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#pragma once
#include <tuple>
#include <vector>
#include <string>
#include <memory>
#include "functional_test_utils/layer_test_utils.hpp"
#include "ngraph_functions/builders.hpp"
typedef std::vector<size_t> TileSpecificParams;
typedef std::tuple<
TileSpecificParams,
InferenceEngine::Precision, // Net precision
InferenceEngine::SizeVector, // Input shapes
LayerTestsUtils::TargetDevice // Device name
> TileLayerTestParamsSet;
namespace LayerTestsDefinitions {
class TileLayerTest : public testing::WithParamInterface<TileLayerTestParamsSet>,
public LayerTestsUtils::LayerTestsCommon {
public:
static std::string getTestCaseName(testing::TestParamInfo<TileLayerTestParamsSet> obj);
protected:
void SetUp() override;
};
} // namespace LayerTestsDefinitions

View File

@ -0,0 +1,49 @@
// Copyright (C) 2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include <tuple>
#include <vector>
#include <string>
#include <memory>
#include <functional>
#include "single_layer_tests/tile.hpp"
namespace LayerTestsDefinitions {
std::string TileLayerTest::getTestCaseName(testing::TestParamInfo<TileLayerTestParamsSet> obj) {
TileSpecificParams tileParams;
InferenceEngine::Precision netPrecision;
InferenceEngine::SizeVector inputShapes;
std::string targetDevice;
std::tie(tileParams, netPrecision, inputShapes, targetDevice) = obj.param;
std::ostringstream result;
result << "IS=" << CommonTestUtils::vec2str(inputShapes) << "_";
result << "Repeats=" << CommonTestUtils::vec2str(tileParams) << "_";
result << "netPRC=" << netPrecision.name() << "_";
result << "targetDevice=" << targetDevice;
return result.str();
}
void TileLayerTest::SetUp() {
TileSpecificParams tileParams;
std::vector<size_t> inputShape;
auto netPrecision = InferenceEngine::Precision::UNSPECIFIED;
std::tie(tileParams, netPrecision, inputShape, targetDevice) = this->GetParam();
auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
auto params = ngraph::builder::makeParams(ngPrc, {inputShape});
auto paramOuts = ngraph::helpers::convert2OutputVector(
ngraph::helpers::castOps2Nodes<ngraph::op::Parameter>(params));
auto tile = ngraph::builder::makeTile(paramOuts[0], tileParams);
ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(tile)};
function = std::make_shared<ngraph::Function>(results, params, "tile");
}
TEST_P(TileLayerTest, CompareWithRefs) {
Run();
}
} // namespace LayerTestsDefinitions

View File

@ -415,5 +415,9 @@ std::shared_ptr<ngraph::Node> makeRNNCell(const OutputVector& in,
const std::vector<float>& activations_alpha = {},
const std::vector<float>& activations_beta = {},
float clip = 0.f);
std::shared_ptr<ngraph::Node> makeTile(const ngraph::Output<Node>& in,
const std::vector<size_t>& repeats);
} // namespace builder
} // namespace ngraph

View File

@ -0,0 +1,18 @@
// Copyright (C) 2020 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "ngraph_functions/builders.hpp"
namespace ngraph {
namespace builder {
std::shared_ptr<ngraph::Node> makeTile(const ngraph::Output<Node>& in,
const std::vector<size_t>& repeats) {
auto repeatsNode = std::make_shared<ngraph::opset1::Constant>(ngraph::element::i64, std::vector<size_t>{repeats.size()}, repeats);
auto tileNode = std::make_shared<ngraph::opset1::Tile>(in, repeatsNode);
return tileNode;
}
} // namespace builder
} // namespace ngraph