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[IE TESTS] Fix input generation for reduce ops (conformance) (#5070)

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* [IE TESTS] Fix input generation for reduce ops (conformance)

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This commit is contained in:
Irina Efode 2021-04-02 11:50:43 +03:00 committed by GitHub
parent 69a06f5977
commit bf1b7ef19c
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1 changed files with 0 additions and 74 deletions
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74
inference-engine/tests/functional/shared_test_classes/src/read_ir/generate_inputs.cpp
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@ -404,68 +404,6 @@ InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::Power>
FuncTestUtils::createAndFillBlob(info.getTensorDesc(), 4, 2);
}
namespace ReduceOps {
InferenceEngine::Blob::Ptr generate(const ngraph::AxisSet& axis_vec,
const InferenceEngine::InputInfo& info) {
IE_ASSERT(axis_vec.size() == 1);
auto axis = *axis_vec.begin();
auto td = info.getTensorDesc();
auto dims = td.getDims();
// Slice of tensor through axis is {1, 0, 0, ....}, the mean value is 1/slice_size
auto raw_values = std::vector<float>(dims[axis], 0);
raw_values[0] = 1;
auto blob = make_blob_with_precision(td);
blob->allocate();
CommonTestUtils::fill_data_with_broadcast(blob, axis, raw_values);
return blob;
}
} // namespace ReduceOps
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceLogicalAnd> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceLogicalOr> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceMax> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceMean> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceMin> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceProd> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v1::ReduceSum> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v3::Bucketize> node,
const InferenceEngine::InputInfo& info,
size_t port) {
@ -531,18 +469,6 @@ InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v4::Propos
return FuncTestUtils::createAndFillBlobFloatNormalDistribution(info.getTensorDesc(), 0.0f, 0.2f, 7235346);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v4::ReduceL1> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v4::ReduceL2> node,
const InferenceEngine::InputInfo& info,
size_t port) {
return ReduceOps::generate(node->get_reduction_axes(), info);
}
InferenceEngine::Blob::Ptr generate(const std::shared_ptr<ngraph::op::v4::SoftPlus> node,
const InferenceEngine::InputInfo& info,
size_t port) {