Did a batch normalization of the BatchNorm unit test names (#3439)

* Normalize BatchNorm test names

* unit test renamed so manifest must be updated

src/ngraph/runtime/plaidml/unit_test.manifest

@@ -149,7 +149,7 @@ logical_or
 batch_norm_inference_parameters_duplication
 batch_norm_fprop_b1c2h2w2
 batch_norm_fprop_b2c2h2w1
-batchnorm_fprop_b2c2d2h1w1
+batch_norm_fprop_b2c2d2h1w1
 batch_norm_fprop_inference_b2c2h2w1
 argmax_3D_axis_0
 argmax_3D_axis_1

test/backend/batch_norm.in.cpp

@@ -625,7 +625,7 @@ NGRAPH_TEST(${BACKEND_NAME}, batch_norm_fprop_b2c2h2w1)
         test::all_close(expected_variance, read_vector<float>(result_variance), 1e-5f, 1e-6f));
 }
 
-NGRAPH_TEST(${BACKEND_NAME}, batchnorm_fprop_b2c2d2h1w1)
+NGRAPH_TEST(${BACKEND_NAME}, batch_norm_fprop_b2c2d2h1w1)
 {
     auto input_shape = Shape{2, 2, 2, 1, 1};
     auto input = make_shared<op::Parameter>(element::f32, input_shape);

test/onnx/onnx_import.in.cpp

@@ -355,7 +355,7 @@ NGRAPH_TEST(onnx_${BACKEND_NAME}, model_argmin_no_keepdims)
     test_case.run();
 }
 
-NGRAPH_TEST(onnx_${BACKEND_NAME}, model_batchnorm_default)
+NGRAPH_TEST(onnx_${BACKEND_NAME}, model_batch_norm_default)
 {
     // Batch Normalization with default parameters
     auto function = onnx_import::import_onnx_model(