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Merge pull request #28961 from dkurt:d.kurtaev/ov_avgpool_opset16

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Enable 1D int8 AvgPool with OpenVINO with 2025.3
This commit is contained in:
Alexander Smorkalov
2026-05-08 08:48:32 +03:00
committed by GitHub
parent 0b1e4f54da 92139a6dc4
commit 5488f4e11d
2 changed files with 11 additions and 1 deletions
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modules/dnn/src/int8layers/pooling_layer.cpp
+7
View File
@@ -296,9 +296,16 @@ public:
ov::Shape(pads_begin), ov::Shape(pads_end), ov::Shape(kernel_size),
rounding_type, pad_type);
} else if (type == AVE) {
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_GE(2025030000)
std::vector<size_t> dilations(kernel_size.size(), 1);
pool = std::make_shared<ov::op::v16::AvgPool>(input, ov::Strides(strides), ov::Strides(dilations),
ov::Shape(pads_begin), ov::Shape(pads_end), ov::Shape(kernel_size),
!avePoolPaddedArea, rounding_type, pad_type);
#else
pool = std::make_shared<ov::op::v1::AvgPool>(input, ov::Strides(strides),
ov::Shape(pads_begin), ov::Shape(pads_end), ov::Shape(kernel_size),
!avePoolPaddedArea, rounding_type, pad_type);
#endif
} else if (type == SUM) {
ov::Shape inpShape = input.get_shape();
CV_Assert(inpShape.size() == 2 + kernel_size.size());
modules/dnn/test/test_int8_layers.cpp
+4 -1
View File
@@ -204,7 +204,10 @@ TEST_P(Test_Int8_layers, AvePooling)
if (backend != DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
testLayer("layer_pooling_ave", "Caffe", 0.0021, 0.0075);
testLayer("ave_pool_same", "TensorFlow", 0.00153, 0.0041);
testLayer("average_pooling_1d", "ONNX", 0.002, 0.0048);
#if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_LT(2025030000)
if (backend != DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
#endif
testLayer("average_pooling_1d", "ONNX", 0.002, 0.0048);
if (backend != DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
testLayer("average_pooling", "ONNX", 0.0014, 0.0032);
testLayer("average_pooling_dynamic_axes", "ONNX", 0.0014, 0.006);