[CPU] Implement fp8 conversion (#27949)

### Details:
 - *Implement fp8 conversion with the following combinations:*
     _fp32<->f8e4m3, fp16<->f8e4m3, bf16<->f8e4m3_
     _fp32<->f8e5m2, fp16<->f8e5m2, bf16<->f8e5m2_

### Tickets:
 - *[CVS-156962](https://jira.devtools.intel.com/browse/CVS-156962)*

src/frontends/onnx/tests/__init__.py

@@ -147,7 +147,7 @@ def xfail_test(reason="Mark the test as expected to fail", strict=True):
 skip_dynamic_model = pytest.mark.skip(reason="CPU plug-in can't load a model with dynamic output shapes via legacy API")
 
 # ONNX 1.14
-xfail_issue_119896 = xfail_test(reason="Unsupported element type: FLOAT8")
+xfail_issue_119896 = xfail_test(reason="Unsupported element type: FLOAT8", strict=False)
 xfail_issue_119900 = xfail_test(reason="While validating ONNX node '<Node(Resize): Y>': "
                                        "half_pixel_symmetric - this type of coordinate transformation mode "
                                        "is not supported. Choose one of the following modes: "

src/plugins/intel_cpu/src/dnnl_extension_utils.cpp

@@ -36,6 +36,8 @@ uint8_t DnnlExtensionUtils::sizeOfDataType(dnnl::memory::data_type dataType) {
     case dnnl::memory::data_type::s4:
     case dnnl::memory::data_type::u4:
     case dnnl::memory::data_type::f8_e8m0:
+    case dnnl::memory::data_type::f8_e4m3:
+    case dnnl::memory::data_type::f8_e5m2:
     case dnnl::memory::data_type::f4_e2m1:
         return 1;
     case dnnl::memory::data_type::undef:
@@ -70,6 +72,10 @@ dnnl::memory::data_type DnnlExtensionUtils::ElementTypeToDataType(const ov::elem
         return memory::data_type::u4;
     case ov::element::f8e8m0:
         return memory::data_type::f8_e8m0;
+    case ov::element::f8e4m3:
+        return memory::data_type::f8_e4m3;
+    case ov::element::f8e5m2:
+        return memory::data_type::f8_e5m2;
     case ov::element::f4e2m1:
         return memory::data_type::f4_e2m1;
     case ov::element::undefined:
@@ -106,6 +112,10 @@ ov::element::Type DnnlExtensionUtils::DataTypeToElementType(const dnnl::memory::
         return ov::element::u4;
     case memory::data_type::f8_e8m0:
         return ov::element::f8e8m0;
+    case memory::data_type::f8_e4m3:
+        return ov::element::f8e4m3;
+    case memory::data_type::f8_e5m2:
+        return ov::element::f8e5m2;
     case memory::data_type::f4_e2m1:
         return ov::element::f4e2m1;
     case memory::data_type::undef: