[CPU] Generic JIT Eltwise implementation (#1464)

ngraph/python/tests/__init__.py

@@ -115,11 +115,6 @@ xfail_issue_38084 = xfail_test(reason="RuntimeError: AssertionFailed: layer->get
 xfail_issue_38085 = xfail_test(reason="RuntimeError: Interpolate operation should be converted to Interp")
 xfail_issue_38086 = xfail_test(reason="RuntimeError: Quantize layer input '<value>' doesn't have blobs")
 xfail_issue_38087 = xfail_test(reason="RuntimeError: Cannot cast to tensor desc. Format is unsupported!")
-xfail_issue_38088 = xfail_test(reason="RuntimeError: Check '((axis >= axis_range_min) && "
-                                      "(axis <= axis_range_max))' failed at "
-                                      "/openvino/ngraph/core/src/validation_util.cpp:913: "
-                                      "Split Parameter axis <value> out of the tensor rank range <value>.")
-xfail_issue_38089 = xfail_test(reason="RuntimeError: Node 2 contains empty child edge for index 0")
 xfail_issue_38090 = xfail_test(reason="AssertionError: Items types are not equal")
 xfail_issue_38091 = xfail_test(reason="AssertionError: Mismatched elements")
 xfail_issue_38699 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"

ngraph/python/tests/test_ngraph/test_ops_fused.py

@@ -22,7 +22,6 @@ from tests import (xfail_issue_34323,
                    skip_segfault,
                    xfail_issue_34327,
                    xfail_issue_36485,
-                   xfail_issue_35923,
                    xfail_issue_36486,
                    xfail_issue_34314,
                    xfail_issue_36487)
@@ -418,7 +417,6 @@ def test_grn_operator():
     assert np.allclose(result, expected)
 
 
-@xfail_issue_35923
 def test_prelu_operator():
     runtime = get_runtime()
 

ngraph/python/tests/test_onnx/test_backend.py

@@ -38,7 +38,6 @@ from tests import (BACKEND_NAME,
                    xfail_issue_33616,
                    xfail_issue_38086,
                    xfail_issue_38087,
-                   xfail_issue_35923,
                    xfail_issue_36483,
                    xfail_issue_34323,
                    xfail_issue_35915,
@@ -46,8 +45,6 @@ from tests import (BACKEND_NAME,
                    xfail_issue_36476,
                    xfail_issue_36478,
                    xfail_issue_36437,
-                   xfail_issue_38088,
-                   xfail_issue_38089,
                    xfail_issue_38090,
                    xfail_issue_38091,
                    xfail_issue_35929,
@@ -220,9 +217,6 @@ tests_expected_to_fail = [
         "OnnxBackendNodeModelTest.test_quantizelinear_cpu"),
     (xfail_issue_38087,
         "OnnxBackendNodeModelTest.test_convtranspose_1d_cpu"),
-    (xfail_issue_35923,
-        "OnnxBackendNodeModelTest.test_prelu_broadcast_cpu",
-        "OnnxBackendNodeModelTest.test_prelu_example_cpu"),
     (xfail_issue_36483,
         "OnnxBackendNodeModelTest.test_ceil_cpu",
         "OnnxBackendNodeModelTest.test_ceil_example_cpu"),
@@ -286,10 +280,6 @@ tests_expected_to_fail = [
         "OnnxBackendNodeModelTest.test_argmin_keepdims_example_select_last_index_cpu",
         "OnnxBackendNodeModelTest.test_argmin_keepdims_random_select_last_index_cpu",
         "OnnxBackendNodeModelTest.test_pow_types_float32_uint32_cpu"),
-    (xfail_issue_38088,
-        "OnnxBackendPyTorchConvertedModelTest.test_GLU_cpu"),
-    (xfail_issue_38089,
-        "OnnxBackendPyTorchConvertedModelTest.test_GLU_dim_cpu"),
     (xfail_issue_38090,
         "OnnxBackendNodeModelTest.test_where_long_example_cpu",
         "OnnxBackendNodeModelTest.test_mod_int64_fmod_cpu",

ngraph/python/tests/test_onnx/test_ops_logical.py

@@ -18,7 +18,6 @@ import onnx
 import pytest
 
 from tests.test_onnx.utils import run_node
-from tests import xfail_issue_35915
 
 
 @pytest.mark.parametrize(
@@ -27,9 +26,9 @@ from tests import xfail_issue_35915
         pytest.param("And", np.logical_and, np.bool),
         pytest.param("Or", np.logical_or, np.bool),
         pytest.param("Xor", np.logical_xor, np.bool),
-        pytest.param("Equal", np.equal, np.int32, marks=xfail_issue_35915),
-        pytest.param("Greater", np.greater, np.int32, marks=xfail_issue_35915),
-        pytest.param("Less", np.less, np.int32, marks=xfail_issue_35915),
+        pytest.param("Equal", np.equal, np.int32),
+        pytest.param("Greater", np.greater, np.int32),
+        pytest.param("Less", np.less, np.int32),
     ],
 )
 def test_logical(onnx_op, numpy_func, data_type):

ngraph/python/tests/test_onnx/test_ops_nonlinear.py

@@ -18,7 +18,7 @@ import onnx
 import pytest
 
 from tests.test_onnx.utils import run_node
-from tests import xfail_issue_35918, xfail_issue_35923, xfail_issue_35924
+from tests import xfail_issue_35918, xfail_issue_35924
 
 
 def import_and_compute(op_type, input_data, **node_attrs):
@@ -71,7 +71,6 @@ def test_leaky_relu():
     assert_onnx_import_equals_callable("LeakyRelu", leaky_relu, [[-3, -2, -1], [1, 2, 3]])
 
 
-@xfail_issue_35923
 @pytest.mark.parametrize(
     "x, slope",
     [