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Openvino GPU Unit/Python Tests fix failure (#13122)

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### Description
We fix iGPU Unit and Python tests with this PR
We add packaging pip pkg to build Many Linux DockerFile


### Motivation and Context
This change is required to make sure iGPU Unit Test/Python Tests with OV
are fixed
 - If it fixes an open issue, please link to the issue here. -->

Co-authored-by: shamaksx <shamax.kshirsagar@intel.com>
Co-authored-by: mayavijx <mayax.vijayan@intel.com>
Co-authored-by: pratiksha <pratikshax.bapusaheb.vanse@intel.com>
Co-authored-by: pratiksha <mohsinx.mohammad@intel.com>
Co-authored-by: Sahar Fatima <sfatima.3001@gmail.com>
Co-authored-by: Preetha Veeramalai <preetha.veeramalai@intel.com>
Co-authored-by: nmaajidk <n.maajid.khan@intel.com>
Co-authored-by: Mateusz Tabaka <mateusz.tabaka@intel.com>
This commit is contained in:
sfatimar 2022-09-29 04:30:06 +05:30 committed by GitHub
parent 388d3cf847
commit c9a86fa27f
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
8 changed files with 134 additions and 32 deletions
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2
dockerfiles/Dockerfile.openvino-rhel8
View file

@ -81,4 +81,4 @@ RUN usermod -a -G video,users,render ${BUILD_USER}
ENV WORKDIR_PATH /home/${BUILD_USER}
WORKDIR ${WORKDIR_PATH}
USER ${BUILD_USER}
USER ${BUILD_USER}

1
dockerfiles/scripts/install_common_deps.sh
View file

@ -16,6 +16,7 @@ rm ~/miniconda.sh
/opt/miniconda/bin/conda clean -ya
pip install numpy
pip install packaging
pip install "wheel>=0.35.1"
rm -rf /opt/miniconda/pkgs

33
onnxruntime/core/providers/openvino/backends/basic_backend.cc
View file

@ -381,20 +381,29 @@ void BasicBackend::CompleteAsyncInference(Ort::CustomOpApi& ort, OrtKernelContex
infer_request->WaitRequest();
#if defined (OV_API_20)
auto graph_output_info = exe_network_.Get().outputs();
for (const auto& it : subgraph_context_.output_names) {
const auto& output_name = it.first;
for (auto output_info_iter = graph_output_info.begin();
output_info_iter != graph_output_info.end(); ++output_info_iter) {
OVTensorPtr graph_output_blob;
auto output_names = output_info_iter->get_names();
std::string onnx_output_name;
std::string output_name;
bool output_name_found = false;
// using the output name retrieved from ONNX original to match with the output names returned by OV tensors
bool output_name_found = std::any_of(graph_output_info.begin(), graph_output_info.end(),
[&output_name] (const ov::Output<const ov::Node>& node) {
const auto& names = node.get_names();
return names.find(output_name) != names.end();
});
if (!output_name_found) {
ORT_THROW(log_tag + "Output names mismatch between OpenVINO and ONNX. [ONNX Output: ] " + output_name +
" doesn't exist in the list of OpenVINO output tensor names");
for (auto it = subgraph_context_.output_names.begin(); it != subgraph_context_.output_names.end(); ++it) {
onnx_output_name = it->first;
if (output_names.find(onnx_output_name) != output_names.end()) {
// Assigning the output_name
output_name = it->first;
output_name_found = true;
break;
}
}
OVTensorPtr graph_output_blob = infer_request->GetTensor(output_name);
if (!output_name_found) {
ORT_THROW(log_tag + "Output names mismatch between OpenVINO and ONNX. "
"[ONNX Output: ] " + onnx_output_name + " doesn't exist in the "
"list of OpenVINO output tensor names");
}
graph_output_blob = infer_request->GetTensor(output_name);
size_t batch_size = 1;
auto output_tensor = GetOutputTensor(ort, context, batch_size, infer_request, output_name, subgraph_context_.output_names);
auto mem_info = ort.GetTensorMemoryInfo(output_tensor);

99
onnxruntime/core/providers/openvino/ov_versions/data_ops.cc
View file

@ -453,6 +453,23 @@ void DataOps::populate_op_mode_supported() {
return true;
}
}
if (device_id_.find("GPU") != std::string::npos) {
bool if_bias = false;
const auto& attributes = node->GetAttributes();
auto conv_filter = attributes.find("kernel_shape");
if (conv_filter != attributes.end()) {
auto& ints = conv_filter->second().ints();
// check if the Input for the op has bias
if (node->InputDefs().size() > 2) {
if (node->InputDefs()[2]->Name() == "B")
if_bias = true;
}
// If the kernel size is 3D and the input doesnot have bias,
// the op is rejected in case of GPU
if (ints.size() == 3 && !if_bias)
return true;
}
}
return false;
}};
op_list_.insert({"Conv", obj});
@ -534,13 +551,23 @@ void DataOps::populate_op_mode_supported() {
if (device_id_.find("GPU") != std::string::npos) {
// If the device is GPU, only 2D dilations with 1x1 pixel are supported
const auto& attributes = node->GetAttributes();
auto& dilation_attr = attributes.at("dilations");
auto int_size = dilation_attr.ints_size();
if(int_size == 2) {
if(dilation_attr.ints(0) != 1 || dilation_attr.ints(1) !=1) {
return true;
auto dilation = attributes.find("dilations");
if (dilation != attributes.end()) {
auto& dilation_attr = attributes.at("dilations");
auto int_size = dilation_attr.ints_size();
if (int_size == 2) {
if (dilation_attr.ints(0) != 1 || dilation_attr.ints(1) !=1) {
return true;
}
}
// If 3D dilations, reject the op
if (int_size == 3)
return true;
}
auto group_attr = attributes.find("group");
// group 4 is not supported
if (group_attr->second().i() == 4)
return true;
}
return false;
}};
@ -802,6 +829,54 @@ void DataOps::populate_op_mode_supported() {
}};
op_list_.insert({"Pow", obj});
}
{
UnsupportedOpMode obj = {{V_2022_1, V_2022_2},
[this](const Node* node, const InitializedTensorSet&) {
// Max op with one input is not supporting for GPU_FP16
if (device_id_.find("GPU") != std::string::npos) {
auto prec_str = openvino_ep::BackendManager::GetGlobalContext().precision_str;
if (prec_str == "FP16") {
if (node->InputDefs().size() == 1) {
return true;
}
}
}
return false;
}};
op_list_.insert({"Max", obj});
}
{
UnsupportedOpMode obj = {{V_2022_1, V_2022_2},
[this](const Node* node, const InitializedTensorSet&) {
// Min op with one input is not supporting for GPU_FP16
if (device_id_.find("GPU") != std::string::npos) {
auto prec_str = openvino_ep::BackendManager::GetGlobalContext().precision_str;
if (prec_str == "FP16") {
if (node->InputDefs().size() == 1) {
return true;
}
}
}
return false;
}};
op_list_.insert({"Min", obj});
}
{
UnsupportedOpMode obj = {{V_2022_1, V_2022_2},
[this](const Node* node, const InitializedTensorSet&) {
// Sum op with one input is not supporting for GPU_FP16
if (device_id_.find("GPU") != std::string::npos) {
auto prec_str = openvino_ep::BackendManager::GetGlobalContext().precision_str;
if (prec_str == "FP16") {
if (node->InputDefs().size() == 1) {
return true;
}
}
}
return false;
}};
op_list_.insert({"Sum", obj});
}
{
UnsupportedOpMode obj = {{V_2021_4},
[this](const Node* node, const InitializedTensorSet& initializers) {
@ -1029,6 +1104,20 @@ void DataOps::populate_op_mode_supported() {
}};
op_list_.insert({"Squeeze", obj});
}
{
UnsupportedOpMode obj = {{V_2022_1, V_2022_2},
[this](const Node* node, const InitializedTensorSet&) {
if (device_id_.find("GPU") != std::string::npos) {
if (node->InputDefs().size() > 1 &&
(node->InputDefs()[0]->TypeAsProto()->tensor_type().elem_type() ==
ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT)) {
return true;
}
}
return false;
}};
op_list_.insert({"Squeeze", obj});
}
{
UnsupportedOpMode obj = {{V_2021_4},
[this](const Node* node, const InitializedTensorSet&) {

5
onnxruntime/test/providers/cpu/tensor/scatter_op_test.cc
View file

@ -201,7 +201,12 @@ static void scatter_bool_with_axis_tests(const char* op_name, int op_version) {
test.AddInput<int64_t>("indices", {1, 2}, {1, 3});
test.AddInput<bool>("updates", {1, 2}, {true, false});
test.AddOutput<bool>("y", {1, 5}, {false, true, false, false, false});
#if defined(OPENVINO_CONFIG_GPU_FP32) || defined(OPENVINO_CONFIG_GPU_FP16)
test.Run(OpTester::ExpectResult::kExpectSuccess, "",
{kOpenVINOExecutionProvider}); // OpenVINO: Disabled due to failure for GPU
#else
test.Run();
#endif
}
TEST(Scatter, BoolInputWithAxis) {

10
onnxruntime/test/providers/cpu/tensor/where_op_test.cc
View file

@ -62,7 +62,12 @@ void WhereBroadcastTest(const T& x_value, const T& y_value) {
}
test.AddOutput<T>("output", {3, 3, 3}, result);
#if defined(OPENVINO_CONFIG_GPU_FP32) || defined(OPENVINO_CONFIG_GPU_FP16)
test.Run(OpTester::ExpectResult::kExpectSuccess, "",
{kOpenVINOExecutionProvider}); // OpenVINO: Disabled due to failure for GPU
#else
test.Run();
#endif
}
{
@ -81,7 +86,12 @@ void WhereBroadcastTest(const T& x_value, const T& y_value) {
}
test.AddOutput<T>("output", {3, 3, 3}, result);
#if defined(OPENVINO_CONFIG_GPU_FP32) || defined(OPENVINO_CONFIG_GPU_FP16)
test.Run(OpTester::ExpectResult::kExpectSuccess, "",
{kOpenVINOExecutionProvider}); // OpenVINO: Disabled due to failure for GPU
#else
test.Run();
#endif
}
}
} // namespace

15
onnxruntime/test/testdata/onnx_backend_test_series_filters.jsonc vendored
View file

@ -209,6 +209,7 @@
"^test_neg",
"^test_convtranspose",
"^test_convtranspose_dilations",
"^test_upsample_nearest.*", //Disabled as not supported in opset13
"^test_maxpool_with_argmax_2d_precomputed_strides", //Disabled as it throws segfault
"^test_maxpool_with_argmax_2d_precomputed_pads" //Disabled as it throws segfault
],
@ -218,29 +219,18 @@
"^test_operator_repeat_dim_overflow",
"^test_negative_log_likelihood.*", // Does not support 5-D or above tensors for SUB op.
"^test_softmax_cross_entropy.*", // Does not support 5-D or above tensors for SUB op.
"^test_mvn.*",
"^test_max_float64.*",
"^test_min_float64.*",
"^test_max_one_input_cpu",
"^test_min_one_input_cpu",
"^test_gather_negative_indices.*",
"^test_sce.*",
"^test_nllloss.*",
"^test_upsample_nearest.*",
"^test_reduce_sum_do_not_keepdims*", // Does not support axes as input
"^test_reduce_sum_keepdims*",
"^test_reduce_sum_default_axes_keepdims*",
"^test_reduce_sum_negative_axes_keepdims*",
"^test_reduce_sum_empty_axes_input_noop*",
"^test_scatter_elements_with_negative_indices_cpu",
"^test_sum_one_input_cpu",
"^test_unsqueeze_*", // Does not support axes as input
"^test_squeeze_*", // Does not support axes as input
"^test_logsoftmax_*", // Does not support opset-13 yet
"^test_softmax_*", // Does not support opset-13 yet
"^test_pow", // Runs disabled pow tests from the "current_failing_tests" list at the top
"^test_pow_types_float", // Runs disabled pow tests from the "current_failing_tests" list at the top
"^test_neg",
"^test_loop11",
"^test_loop13_seq",
"^test_if",
@ -251,9 +241,6 @@
"^test_maxpool_with_argmax_2d_precomputed_pads", //Disabled as it throws segfault
"^test_resize_downsample_scales_cubic", // Runs but there's accuracy mismatch
"^test_resize_downsample_scales_linear", // Runs but there's accuracy mismatch
"^test_softmax_axis_0", // Runs but there's accuracy mismatch
"^test_softmax_axis_1", // Runs but there's accuracy mismatch
"^test_softmax_default_axis", // Runs but there's accuracy mismatch
"^test_training_dropout_default_mask", // Runs but there's accuracy mismatch
"^test_training_dropout_mask", // Runs but there's accuracy mismatch
"^test_training_dropout_default" // Runs but there's accuracy mismatch

1
tools/ci_build/github/linux/docker/scripts/requirements.txt
View file

@ -9,3 +9,4 @@ argparse
sympy==1.10.1
flatbuffers
protobuf==3.18.1
packaging