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Convolution: Remove test instances with integer precision

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This commit is contained in:
ggalieroc 2021-02-18 10:44:07 +01:00
parent 1f4202b010
commit 0b07052a62
2 changed files with 21 additions and 23 deletions
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4
inference-engine/tests/functional/inference_engine/serialization/single_layer/convolution.cpp
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@ -14,9 +14,7 @@ TEST_P(ConvolutionLayerTest, Serialize) {
}
const std::vector<InferenceEngine::Precision> netPrecisions = {
InferenceEngine::Precision::FP32, InferenceEngine::Precision::FP16,
InferenceEngine::Precision::I16, InferenceEngine::Precision::I32,
InferenceEngine::Precision::I64};
InferenceEngine::Precision::FP32, InferenceEngine::Precision::FP16};
const std::vector<std::vector<size_t>> kernels = {{3, 5}};
const std::vector<std::vector<size_t>> strides = {{1, 3}};
const std::vector<std::vector<ptrdiff_t>> padBegins = {{0, 3}};

40
inference-engine/tests/functional/inference_engine/transformations/pad_fusion.cpp
View File

@ -119,11 +119,11 @@ TEST(TransformationTests, PadFusionConvolution) {
Shape data_shape{1, 3, 14, 14};
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, op::PadMode::CONSTANT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});
@ -134,8 +134,8 @@ TEST(TransformationTests, PadFusionConvolution) {
ASSERT_NO_THROW(check_rt_info(f));
}
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(data, filters, Strides{1, 1},
CoordinateDiff{1, 1}, CoordinateDiff{3, 3}, Shape{1, 1},
op::PadType::EXPLICIT);
@ -248,11 +248,11 @@ TEST(TransformationTests, NegativePadFusionNonConstantPadMode) {
Shape data_shape{1, 3, 14, 14};
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, op::PadMode::REFLECT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});
@ -263,11 +263,11 @@ TEST(TransformationTests, NegativePadFusionNonConstantPadMode) {
ASSERT_NO_THROW(check_rt_info(f));
}
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, op::PadMode::REFLECT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f_ref = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});
@ -282,12 +282,12 @@ TEST(TransformationTests, NegativePadFusionNonZeroPadValue) {
Shape data_shape{1, 3, 14, 14};
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad_value = opset5::Constant::create(element::i32, Shape{}, {2});
auto pad_value = opset5::Constant::create(element::f32, Shape{}, {2});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, pad_value, op::PadMode::CONSTANT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});
@ -298,12 +298,12 @@ TEST(TransformationTests, NegativePadFusionNonZeroPadValue) {
ASSERT_NO_THROW(check_rt_info(f));
}
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad_value = opset5::Constant::create(element::i32, Shape{}, {2});
auto pad_value = opset5::Constant::create(element::f32, Shape{}, {2});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, pad_value, op::PadMode::CONSTANT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f_ref = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});
@ -318,12 +318,12 @@ TEST(TransformationTests, NegativePadFusionPadForBatchSize) {
Shape data_shape{1, 3, 14, 14};
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {1, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad_value = opset5::Constant::create(element::i32, Shape{}, {0});
auto pad_value = opset5::Constant::create(element::f32, Shape{}, {0});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, pad_value, op::PadMode::CONSTANT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});
@ -334,12 +334,12 @@ TEST(TransformationTests, NegativePadFusionPadForBatchSize) {
ASSERT_NO_THROW(check_rt_info(f));
}
{
auto data = std::make_shared<opset5::Parameter>(element::i32, data_shape);
auto data = std::make_shared<opset5::Parameter>(element::f32, data_shape);
auto pads_begin = opset5::Constant::create(element::i32, Shape{4}, {1, 0, 1, 1});
auto pads_end = opset5::Constant::create(element::i32, Shape{4}, {0, 0, 2, 2});
auto pad_value = opset5::Constant::create(element::i32, Shape{}, {0});
auto pad_value = opset5::Constant::create(element::f32, Shape{}, {0});
auto pad = std::make_shared<opset5::Pad>(data, pads_begin, pads_end, pad_value, op::PadMode::CONSTANT);
auto filters = std::make_shared<opset5::Parameter>(element::i32, Shape{1, 3, 4, 4});
auto filters = std::make_shared<opset5::Parameter>(element::f32, Shape{1, 3, 4, 4});
auto conv = std::make_shared<opset5::Convolution>(pad, filters, Strides{1, 1},
CoordinateDiff{0, 0}, CoordinateDiff{1, 1}, Shape{1, 1});
f_ref = std::make_shared<Function>(NodeVector{conv}, ParameterVector{data, filters});