14 files changed, 84 insertions, 394 deletions

diff --git a/lib/oeqa/runtime/cases/dldt_inference_engine.py b/lib/oeqa/runtime/cases/dldt_inference_engine.py
deleted file mode 100644
index 2e969975..00000000
--- a/lib/oeqa/runtime/cases/dldt_inference_engine.py
+++ /dev/null
@@ -1,101 +0,0 @@
-from oeqa.runtime.case import OERuntimeTestCase
-from oeqa.runtime.decorator.package import OEHasPackage
-from oeqa.core.decorator.depends import OETestDepends
-from oeqa.runtime.miutils.targets.oeqatarget import OEQATarget
-from oeqa.runtime.miutils.tests.squeezenet_model_download_test import SqueezenetModelDownloadTest
-from oeqa.runtime.miutils.tests.dldt_model_optimizer_test import DldtModelOptimizerTest
-from oeqa.runtime.miutils.tests.dldt_inference_engine_test import DldtInferenceEngineTest
-from oeqa.runtime.miutils.dldtutils import get_testdata_config
-
-class DldtInferenceEngine(OERuntimeTestCase):
-
-    @classmethod
-    def setUpClass(cls):
-        cls.sqn_download = SqueezenetModelDownloadTest(OEQATarget(cls.tc.target), '/tmp/ie/md')
-        cls.sqn_download.setup()
-        cls.dldt_mo = DldtModelOptimizerTest(OEQATarget(cls.tc.target), '/tmp/ie/ir')
-        cls.dldt_mo.setup()
-        cls.dldt_ie = DldtInferenceEngineTest(OEQATarget(cls.tc.target), '/tmp/ie/inputs')
-        cls.dldt_ie.setup()
-        cls.ir_files_dir = cls.dldt_mo.work_dir
-
-    @classmethod
-    def tearDownClass(cls):
-        cls.dldt_ie.tear_down()
-        cls.dldt_mo.tear_down()
-        cls.sqn_download.tear_down()
-
-    @OEHasPackage(['dldt-model-optimizer'])
-    @OEHasPackage(['wget'])
-    def test_dldt_ie_can_create_ir_and_download_input(self):
-        proxy_port = get_testdata_config(self.tc.td, 'DLDT_PIP_PROXY')
-        if not proxy_port:
-            self.skipTest('Need to configure bitbake configuration (DLDT_PIP_PROXY="proxy.server:port").')
-        (status, output) = self.sqn_download.test_can_download_squeezenet_model(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-        (status, output) = self.sqn_download.test_can_download_squeezenet_prototxt(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-        mo_exe_dir = get_testdata_config(self.tc.td, 'DLDT_MO_EXE_DIR')
-        if not mo_exe_dir:
-            self.skipTest('Need to configure bitbake configuration (DLDT_MO_EXE_DIR="directory_to_mo.py").')
-        mo_files_dir = self.sqn_download.work_dir
-        (status, output) = self.dldt_mo.test_dldt_mo_can_create_ir(mo_exe_dir, mo_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-        (status, output) = self.dldt_ie.test_can_download_input_file(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-samples'])
-    def test_dldt_ie_classification_with_cpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_with_device('CPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-samples'])
-    @OEHasPackage(['intel-compute-runtime'])
-    @OEHasPackage(['opencl-icd-loader'])
-    def test_dldt_ie_classification_with_gpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_with_device('GPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-samples'])
-    @OEHasPackage(['dldt-inference-engine-vpu-firmware'])
-    def test_dldt_ie_classification_with_myriad(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_with_device('MYRIAD', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-python3'])
-    @OEHasPackage(['python3-opencv'])
-    @OEHasPackage(['python3-numpy'])
-    def test_dldt_ie_classification_python_api_with_cpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_python_api_with_device('CPU', self.ir_files_dir, 'libcpu_extension.so')
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-python3'])
-    @OEHasPackage(['intel-compute-runtime'])
-    @OEHasPackage(['opencl-icd-loader'])
-    @OEHasPackage(['python3-opencv'])
-    @OEHasPackage(['python3-numpy'])
-    def test_dldt_ie_classification_python_api_with_gpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_python_api_with_device('GPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-python3'])
-    @OEHasPackage(['dldt-inference-engine-vpu-firmware'])
-    @OEHasPackage(['python3-opencv'])
-    @OEHasPackage(['python3-numpy'])
-    def test_dldt_ie_classification_python_api_with_myriad(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_python_api_with_device('MYRIAD', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
diff --git a/lib/oeqa/runtime/cases/dldt_model_optimizer.py b/lib/oeqa/runtime/cases/dldt_model_optimizer.py
deleted file mode 100644
index 736ea661..00000000
--- a/lib/oeqa/runtime/cases/dldt_model_optimizer.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from oeqa.runtime.case import OERuntimeTestCase
-from oeqa.runtime.decorator.package import OEHasPackage
-from oeqa.runtime.miutils.targets.oeqatarget import OEQATarget
-from oeqa.runtime.miutils.tests.squeezenet_model_download_test import SqueezenetModelDownloadTest
-from oeqa.runtime.miutils.tests.dldt_model_optimizer_test import DldtModelOptimizerTest
-from oeqa.runtime.miutils.dldtutils import get_testdata_config
-
-class DldtModelOptimizer(OERuntimeTestCase):
-
-    @classmethod
-    def setUpClass(cls):
-        cls.sqn_download = SqueezenetModelDownloadTest(OEQATarget(cls.tc.target), '/tmp/mo/md')
-        cls.sqn_download.setup()
-        cls.dldt_mo = DldtModelOptimizerTest(OEQATarget(cls.tc.target), '/tmp/mo/ir')
-        cls.dldt_mo.setup()
-
-    @classmethod
-    def tearDownClass(cls):
-        cls.dldt_mo.tear_down()
-        cls.sqn_download.tear_down()
-
-    @OEHasPackage(['dldt-model-optimizer'])
-    @OEHasPackage(['wget'])
-    def test_dldt_mo_can_create_ir(self):
-        proxy_port = get_testdata_config(self.tc.td, 'DLDT_PIP_PROXY')
-        if not proxy_port:
-            self.skipTest('Need to configure bitbake configuration (DLDT_PIP_PROXY="proxy.server:port").')
-        (status, output) = self.sqn_download.test_can_download_squeezenet_model(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-        (status, output) = self.sqn_download.test_can_download_squeezenet_prototxt(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-        mo_exe_dir = get_testdata_config(self.tc.td, 'DLDT_MO_EXE_DIR')
-        if not mo_exe_dir:
-            self.skipTest('Need to configure bitbake configuration (DLDT_MO_EXE_DIR="directory_to_mo.py").')
-        mo_files_dir = self.sqn_download.work_dir
-        (status, output) = self.dldt_mo.test_dldt_mo_can_create_ir(mo_exe_dir, mo_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
diff --git a/lib/oeqa/runtime/cases/intel_vaapi_driver.py b/lib/oeqa/runtime/cases/intel_vaapi_driver.py
index d5989044..31e11a81 100644
--- a/lib/oeqa/runtime/cases/intel_vaapi_driver.py
+++ b/lib/oeqa/runtime/cases/intel_vaapi_driver.py
@@ -17,7 +17,7 @@ class VaapiDriverTest(OERuntimeTestCase):
         self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
 
         (status, output) = self.target.run('gst-launch-1.0 -ev videotestsrc num-buffers=60 ! '
-                                           'timeoverlay ! vaapih264enc ! mp4mux ! filesink location=/tmp/vtest_h264.mp4')
+                                           'timeoverlay ! vaapih264enc ! h264parse ! mp4mux ! filesink location=/tmp/vtest_h264.mp4')
         self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
 
     @OETestDepends(['intel_vaapi_driver.VaapiDriverTest.test_gstreamer_can_encode_with_intel_vaapi_driver'])
diff --git a/lib/oeqa/runtime/cases/microcode.py b/lib/oeqa/runtime/cases/microcode.py
index 6ce36a6f..52c1cdb4 100644
--- a/lib/oeqa/runtime/cases/microcode.py
+++ b/lib/oeqa/runtime/cases/microcode.py
@@ -16,20 +16,15 @@ class MicrocodeTest(OERuntimeTestCase):
 
     @OEHasPackage(["iucode-tool"])
     def test_microcode_update(self):
-        (status, output) = self.target.run('iucode_tool /lib/firmware/intel-ucode/ -tb -lS | grep rev')
-        if status:
-            self.skipTest("The iucode_tool detected no microcode for update.")
+        (status, output) = self.target.run('iucode_tool /lib/firmware/intel-ucode/ -tb -l --scan-system=2 | grep rev')
 
         selected_microcodes = output.splitlines()
         selected_rev_list = self.get_revision_from_microcode_string_list(selected_microcodes, "rev (\w*)")
-        self.assertTrue(selected_rev_list, msg="Could not find any rev from iucode_tool selected microcode.")
 
-        (status, output) = self.target.run('dmesg | grep microcode')
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
+        (status, output) = self.target.run("dmesg | grep 'microcode updated early'")
 
         updated_microcodes = output.splitlines()
-        updated_rev_list = self.get_revision_from_microcode_string_list(updated_microcodes, "revision=(\w*)")
-        self.assertTrue(updated_rev_list, msg="Could not find any updated revision from microcode dmesg.")
+        updated_rev_list = self.get_revision_from_microcode_string_list(updated_microcodes, "revision (\w*)")
 
         for ul in updated_rev_list:
             self.assertTrue(ul in selected_rev_list, msg="Updated revision, %s, not in selected revision list (%s)" %
diff --git a/lib/oeqa/runtime/cases/mkl_dnn.py b/lib/oeqa/runtime/cases/mkl_dnn.py
index c7994b13..8d50df54 100644
--- a/lib/oeqa/runtime/cases/mkl_dnn.py
+++ b/lib/oeqa/runtime/cases/mkl_dnn.py
@@ -14,9 +14,9 @@ class MklDnn(OERuntimeTestCase):
     def tearDownClass(cls):
         cls.mkldnntest.tear_down()
         
-    @OEHasPackage(['libdnnl', 'libdnnl1'])
-    @OEHasPackage(['libdnnl-src'])
-    @OEHasPackage(['libdnnl-dev'])
+    @OEHasPackage(['onednn', 'libdnnl2'])
+    @OEHasPackage(['onednn-src', 'libdnnl-src'])
+    @OEHasPackage(['onednn-dev', 'libdnnl-dev'])
     @OEHasPackage(['gcc'])
     @OEHasPackage(['gcc-symlinks'])
     @OEHasPackage(['libstdc++-dev'])
@@ -25,8 +25,8 @@ class MklDnn(OERuntimeTestCase):
         (status, output) = self.mkldnntest.test_mkldnn_can_compile_and_execute()
         self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
     
-    @OEHasPackage(['mkl-dnn', 'libdnnl1'])
-    @OEHasPackage(['mkl-dnn-test', 'libdnnl-test'])
+    @OEHasPackage(['onednn', 'libdnnl2'])
+    @OEHasPackage(['onednn-test', 'libdnnl-test'])
     def test_mkldnn_benchdnn_package_available(self):
         (status, output) = self.mkldnntest.test_mkldnn_benchdnn_package_available()
         self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
diff --git a/lib/oeqa/runtime/cases/parselogs-ignores-intel-core2-32.txt b/lib/oeqa/runtime/cases/parselogs-ignores-intel-core2-32.txt
new file mode 100644
index 00000000..84ce8168
--- /dev/null
+++ b/lib/oeqa/runtime/cases/parselogs-ignores-intel-core2-32.txt
@@ -0,0 +1,9 @@
+# These should be reviewed to see if they are still needed
+ACPI: No _BQC method, cannot determine initial brightness
+[Firmware Bug]: ACPI: No _BQC method, cannot determine initial brightness
+(EE) Failed to load module "psb"
+(EE) Failed to load module "psbdrv"
+(EE) open /dev/fb0: No such file or directory
+(EE) AIGLX: reverting to software rendering
+dmi: Firmware registration failed.
+ioremap error for 0x78
diff --git a/lib/oeqa/runtime/cases/parselogs-ignores-intel-corei7-64.txt b/lib/oeqa/runtime/cases/parselogs-ignores-intel-corei7-64.txt
new file mode 100644
index 00000000..5c9b4bc7
--- /dev/null
+++ b/lib/oeqa/runtime/cases/parselogs-ignores-intel-corei7-64.txt
@@ -0,0 +1,14 @@
+# These should be reviewed to see if they are still needed
+can't set Max Payload Size to 256
+intel_punit_ipc: can't request region for resource
+[drm] parse error at position 4 in video mode 'efifb'
+ACPI Error: Could not enable RealTimeClock event
+ACPI Warning: Could not enable fixed event - RealTimeClock
+hci_intel INT33E1:00: Unable to retrieve gpio
+hci_intel: probe of INT33E1:00 failed
+can't derive routing for PCI INT A
+failed to read out thermal zone
+Bluetooth: hci0: Setting Intel event mask failed
+ttyS2 - failed to request DMA
+Bluetooth: hci0: Failed to send firmware data (-38)
+atkbd serio0: Failed to enable keyboard on isa0060/serio0
diff --git a/lib/oeqa/runtime/cases/thermald.py b/lib/oeqa/runtime/cases/thermald.py
new file mode 100644
index 00000000..a0b6a92b
--- /dev/null
+++ b/lib/oeqa/runtime/cases/thermald.py
@@ -0,0 +1,47 @@
+from oeqa.runtime.case import OERuntimeTestCase
+from oeqa.core.decorator.depends import OETestDepends
+from oeqa.runtime.decorator.package import OEHasPackage
+import threading
+import time
+import re
+
+class ThermaldTest(OERuntimeTestCase):
+    def get_thermal_zone_with_target_type(self, target_type):
+        i = 0
+        while True:
+            status, output = self.target.run('cat /sys/class/thermal/thermal_zone%s/type' % i)
+            if status:
+                return -1
+            if output == target_type:
+                return i
+            i = i + 1
+
+    def run_thermald_emulation_to_exceed_setpoint_then_end_thermald_process(self, run_args):
+        time.sleep(2)
+        self.target.run('echo 106000 > /sys/class/thermal/thermal_zone%s/emul_temp' % run_args)
+        time.sleep(5)
+        __, output = self.target.run('pidof thermald')
+        self.target.run('kill -9 %s' % output)
+
+    def test_thermald_emulation_mode(self):
+        # Thermald test depend on thermal emulation, where CONFIG_THERMAL_EMULATION=y was required
+        # To enable thermal emulation, refer to https://github.com/intel/thermal_daemon/blob/master/test/readme_test.txt
+        (status, output) = self.target.run('gzip -dc /proc/config.gz | grep CONFIG_THERMAL_EMULATION=y')
+        if status:
+            self.skipTest("CONFIG_THERMAL_EMULATION is not set")
+
+    @OEHasPackage(['thermald'])
+    @OETestDepends(['thermald.ThermaldTest.test_thermald_emulation_mode'])
+    def test_thermald_can_track_thermal_exceed_setpoint(self):
+        x86_thermal_zone_index = self.get_thermal_zone_with_target_type('x86_pkg_temp')
+        if x86_thermal_zone_index < 0:
+            self.skipTest('Could not get the thermal zone index for target type (%s)' % 'x86_pkg_temp')
+        td_thread = threading.Thread(target=self.run_thermald_emulation_to_exceed_setpoint_then_end_thermald_process,
+                                     args=(x86_thermal_zone_index,))
+        td_thread.start()
+        td_thread.join()
+        status, output = self.target.run('timeout 3s thermald --no-daemon --loglevel=info')
+        regex_search = ".*thd_cdev_set_state.*106000"
+        regex_comp = re.compile(regex_search)
+        m = regex_comp.search(output)
+        self.assertTrue(m, msg='status and output: %s and %s' % (status, output))
diff --git a/lib/oeqa/runtime/files/dldt-inference-engine/classification_sample.py b/lib/oeqa/runtime/files/dldt-inference-engine/classification_sample.py
deleted file mode 100644
index 1906e9fe..00000000
--- a/lib/oeqa/runtime/files/dldt-inference-engine/classification_sample.py
+++ /dev/null
@@ -1,135 +0,0 @@
-#!/usr/bin/env python3
-"""
- Copyright (C) 2018-2019 Intel Corporation
-
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
-
-      http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
-"""
-from __future__ import print_function
-import sys
-import os
-from argparse import ArgumentParser, SUPPRESS
-import cv2
-import numpy as np
-import logging as log
-from time import time
-from openvino.inference_engine import IENetwork, IECore
-
-
-def build_argparser():
-    parser = ArgumentParser(add_help=False)
-    args = parser.add_argument_group('Options')
-    args.add_argument('-h', '--help', action='help', default=SUPPRESS, help='Show this help message and exit.')
-    args.add_argument("-m", "--model", help="Required. Path to an .xml file with a trained model.", required=True,
-                      type=str)
-    args.add_argument("-i", "--input", help="Required. Path to a folder with images or path to an image files",
-                      required=True,
-                      type=str, nargs="+")
-    args.add_argument("-l", "--cpu_extension",
-                      help="Optional. Required for CPU custom layers. "
-                           "MKLDNN (CPU)-targeted custom layers. Absolute path to a shared library with the"
-                           " kernels implementations.", type=str, default=None)
-    args.add_argument("-d", "--device",
-                      help="Optional. Specify the target device to infer on; CPU, GPU, FPGA, HDDL, MYRIAD or HETERO: is "
-                           "acceptable. The sample will look for a suitable plugin for device specified. Default "
-                           "value is CPU",
-                      default="CPU", type=str)
-    args.add_argument("--labels", help="Optional. Path to a labels mapping file", default=None, type=str)
-    args.add_argument("-nt", "--number_top", help="Optional. Number of top results", default=10, type=int)
-
-    return parser
-
-
-def main():
-    log.basicConfig(format="[ %(levelname)s ] %(message)s", level=log.INFO, stream=sys.stdout)
-    args = build_argparser().parse_args()
-    model_xml = args.model
-    model_bin = os.path.splitext(model_xml)[0] + ".bin"
-
-    # Plugin initialization for specified device and load extensions library if specified
-    log.info("Creating Inference Engine")
-    ie = IECore()
-    if args.cpu_extension and 'CPU' in args.device:
-        ie.add_extension(args.cpu_extension, "CPU")
-    # Read IR
-    log.info("Loading network files:\n\t{}\n\t{}".format(model_xml, model_bin))
-    net = IENetwork(model=model_xml, weights=model_bin)
-
-    if "CPU" in args.device:
-        supported_layers = ie.query_network(net, "CPU")
-        not_supported_layers = [l for l in net.layers.keys() if l not in supported_layers]
-        if len(not_supported_layers) != 0:
-            log.error("Following layers are not supported by the plugin for specified device {}:\n {}".
-                      format(args.device, ', '.join(not_supported_layers)))
-            log.error("Please try to specify cpu extensions library path in sample's command line parameters using -l "
-                      "or --cpu_extension command line argument")
-            sys.exit(1)
-
-    assert len(net.inputs.keys()) == 1, "Sample supports only single input topologies"
-    assert len(net.outputs) == 1, "Sample supports only single output topologies"
-
-    log.info("Preparing input blobs")
-    input_blob = next(iter(net.inputs))
-    out_blob = next(iter(net.outputs))
-    net.batch_size = len(args.input)
-
-    # Read and pre-process input images
-    n, c, h, w = net.inputs[input_blob].shape
-    images = np.ndarray(shape=(n, c, h, w))
-    for i in range(n):
-        image = cv2.imread(args.input[i])
-        if image.shape[:-1] != (h, w):
-            log.warning("Image {} is resized from {} to {}".format(args.input[i], image.shape[:-1], (h, w)))
-            image = cv2.resize(image, (w, h))
-        image = image.transpose((2, 0, 1))  # Change data layout from HWC to CHW
-        images[i] = image
-    log.info("Batch size is {}".format(n))
-
-    # Loading model to the plugin
-    log.info("Loading model to the plugin")
-    exec_net = ie.load_network(network=net, device_name=args.device)
-
-    # Start sync inference
-    log.info("Starting inference in synchronous mode")
-    res = exec_net.infer(inputs={input_blob: images})
-
-    # Processing output blob
-    log.info("Processing output blob")
-    res = res[out_blob]
-    log.info("Top {} results: ".format(args.number_top))
-    if args.labels:
-        with open(args.labels, 'r') as f:
-            labels_map = [x.split(sep=' ', maxsplit=1)[-1].strip() for x in f]
-    else:
-        labels_map = None
-    classid_str = "classid"
-    probability_str = "probability"
-    for i, probs in enumerate(res):
-        probs = np.squeeze(probs)
-        top_ind = np.argsort(probs)[-args.number_top:][::-1]
-        print("Image {}\n".format(args.input[i]))
-        print(classid_str, probability_str)
-        print("{} {}".format('-' * len(classid_str), '-' * len(probability_str)))
-        for id in top_ind:
-            det_label = labels_map[id] if labels_map else "{}".format(id)
-            label_length = len(det_label)
-            space_num_before = (len(classid_str) - label_length) // 2
-            space_num_after = len(classid_str) - (space_num_before + label_length) + 2
-            space_num_before_prob = (len(probability_str) - len(str(probs[id]))) // 2
-            print("{}{}{}{}{:.7f}".format(' ' * space_num_before, det_label,
-                                          ' ' * space_num_after, ' ' * space_num_before_prob,
-                                          probs[id]))
-        print("\n")
-    log.info("This sample is an API example, for any performance measurements please use the dedicated benchmark_app tool\n")
-
-if __name__ == '__main__':
-    sys.exit(main() or 0)
diff --git a/lib/oeqa/runtime/miutils/dldtutils.py b/lib/oeqa/runtime/miutils/dldtutils.py
deleted file mode 100644
index 45bf2e12..00000000
--- a/lib/oeqa/runtime/miutils/dldtutils.py
+++ /dev/null
@@ -1,3 +0,0 @@
-
-def get_testdata_config(testdata, config):
-    return testdata.get(config)
diff --git a/lib/oeqa/runtime/miutils/tests/dldt_inference_engine_test.py b/lib/oeqa/runtime/miutils/tests/dldt_inference_engine_test.py
deleted file mode 100644
index a44f9027..00000000
--- a/lib/oeqa/runtime/miutils/tests/dldt_inference_engine_test.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import os
-script_path = os.path.dirname(os.path.realpath(__file__))
-files_path = os.path.join(script_path, '../../files/')
-
-class DldtInferenceEngineTest(object):
-    ie_input_files = {'ie_python_sample': 'classification_sample.py',
-                      'input': 'chicky_512.png',
-                      'input_download': 'https://raw.githubusercontent.com/opencv/opencv/master/samples/data/chicky_512.png',
-                      'model': 'squeezenet_v1.1.xml'}
-
-    def __init__(self, target, work_dir):
-        self.target = target
-        self.work_dir = work_dir
-
-    def setup(self):
-        self.target.run('mkdir -p %s' % self.work_dir)
-        self.target.copy_to(os.path.join(files_path, 'dldt-inference-engine', self.ie_input_files['ie_python_sample']),
-                            self.work_dir)
-
-    def tear_down(self):
-        self.target.run('rm -rf %s' % self.work_dir)
-
-    def test_can_download_input_file(self, proxy_port):
-        return self.target.run('cd %s; wget %s -e https_proxy=%s' %
-                               (self.work_dir,
-                                self.ie_input_files['input_download'],
-                                proxy_port))
-
-    def test_dldt_ie_classification_with_device(self, device, ir_files_dir):
-        return self.target.run('classification_sample_async -d %s -i %s -m %s' %
-                               (device,
-                                os.path.join(self.work_dir, self.ie_input_files['input']),
-                                os.path.join(ir_files_dir, self.ie_input_files['model'])))
-
-    def test_dldt_ie_classification_python_api_with_device(self, device, ir_files_dir, extension=''):
-        if extension:
-            return self.target.run('python3 %s -d %s -i %s -m %s -l %s' %
-                                   (os.path.join(self.work_dir, self.ie_input_files['ie_python_sample']),
-                                    device,
-                                    os.path.join(self.work_dir, self.ie_input_files['input']),
-                                    os.path.join(ir_files_dir, self.ie_input_files['model']),
-                                    extension))
-        else:
-            return self.target.run('python3 %s -d %s -i %s -m %s' %
-                                   (os.path.join(self.work_dir, self.ie_input_files['ie_python_sample']),
-                                    device,
-                                    os.path.join(self.work_dir, self.ie_input_files['input']),
-                                    os.path.join(ir_files_dir, self.ie_input_files['model'])))
diff --git a/lib/oeqa/runtime/miutils/tests/dldt_model_optimizer_test.py b/lib/oeqa/runtime/miutils/tests/dldt_model_optimizer_test.py
deleted file mode 100644
index 7d3db15b..00000000
--- a/lib/oeqa/runtime/miutils/tests/dldt_model_optimizer_test.py
+++ /dev/null
@@ -1,23 +0,0 @@
-import os
-
-class DldtModelOptimizerTest(object):
-    mo_input_files = {'model': 'squeezenet_v1.1.caffemodel',
-                      'prototxt': 'deploy.prototxt'}
-    mo_exe = 'mo.py'
-
-    def __init__(self, target, work_dir):
-        self.target = target
-        self.work_dir = work_dir
-
-    def setup(self):
-        self.target.run('mkdir -p %s' % self.work_dir)
-
-    def tear_down(self):
-        self.target.run('rm -rf %s' % self.work_dir)
-
-    def test_dldt_mo_can_create_ir(self, mo_exe_dir, mo_files_dir):
-        return self.target.run('python3 %s --input_model %s --input_proto %s --output_dir %s --data_type FP16' %
-                               (os.path.join(mo_exe_dir, self.mo_exe),
-                                os.path.join(mo_files_dir, self.mo_input_files['model']),
-                                os.path.join(mo_files_dir, self.mo_input_files['prototxt']),
-                                self.work_dir))
diff --git a/lib/oeqa/runtime/miutils/tests/mkl_dnn_test.py b/lib/oeqa/runtime/miutils/tests/mkl_dnn_test.py
index 13afd1a4..869a4cbe 100644
--- a/lib/oeqa/runtime/miutils/tests/mkl_dnn_test.py
+++ b/lib/oeqa/runtime/miutils/tests/mkl_dnn_test.py
@@ -9,13 +9,13 @@ class MkldnnTest(object):
         self.target.run('rm /tmp/%s' % self.mkldnn_target_test_filename)
         
     def test_mkldnn_can_compile_and_execute(self):
-        mkldnn_src_dir = '/usr/src/debug/mkl-dnn/'
+        mkldnn_src_dir = '/usr/src/debug/onednn/'
         mkldnn_src_test_filename = 'api.c'
         mkldnn_src_test_file = ''
         
-        (status, output) = self.target.run('cd %s; find -name %s' % (mkldnn_src_dir, mkldnn_src_test_filename))
-        if status:
-            return status, output
+        (__, output) = self.target.run('cd %s; find -name %s' % (mkldnn_src_dir, mkldnn_src_test_filename))
+        if 'No such file or directory' in output:
+            return -1, output
 
         mkldnn_src_test_file = os.path.join(mkldnn_src_dir, output)
         (status, output) = self.target.run('gcc %s -o /tmp/%s -ldnnl' % (mkldnn_src_test_file, self.mkldnn_target_test_filename))
@@ -49,9 +49,7 @@ class MkldnnTest(object):
         return self._run_mkldnn_benchdnn_test('./benchdnn --reorder --batch=inputs/reorder/test_reorder_bfloat16')
         
     def test_mkldnn_rnn_api(self):
-        # test_rnn_inference was not yet ready and was expected to fail
-        # while waiting it to be ready, use test_rnn_small for now
-        return self._run_mkldnn_benchdnn_test('./benchdnn --rnn --batch=inputs/rnn/test_rnn_small')
+        return self._run_mkldnn_benchdnn_test('./benchdnn --rnn --batch=inputs/rnn/test_rnn_all')
         
     def test_mkldnn_shuffle_api(self):
         return self._run_mkldnn_benchdnn_test('./benchdnn --shuffle --batch=inputs/shuffle/test_shuffle_bfloat16')
\ No newline at end of file
diff --git a/lib/oeqa/runtime/miutils/tests/squeezenet_model_download_test.py b/lib/oeqa/runtime/miutils/tests/squeezenet_model_download_test.py
deleted file mode 100644
index a3e46a0a..00000000
--- a/lib/oeqa/runtime/miutils/tests/squeezenet_model_download_test.py
+++ /dev/null
@@ -1,25 +0,0 @@
-class SqueezenetModelDownloadTest(object):
-    download_files = {'squeezenet1.1.prototxt': 'https://raw.githubusercontent.com/DeepScale/SqueezeNet/a47b6f13d30985279789d08053d37013d67d131b/SqueezeNet_v1.1/deploy.prototxt',
-                      'squeezenet1.1.caffemodel': 'https://github.com/DeepScale/SqueezeNet/raw/a47b6f13d30985279789d08053d37013d67d131b/SqueezeNet_v1.1/squeezenet_v1.1.caffemodel'}
-
-    def __init__(self, target, work_dir):
-        self.target = target
-        self.work_dir = work_dir
-
-    def setup(self):
-        self.target.run('mkdir -p %s' % self.work_dir)
-
-    def tear_down(self):
-        self.target.run('rm -rf %s' % self.work_dir)
-
-    def test_can_download_squeezenet_model(self, proxy_port):
-        return self.target.run('cd %s; wget %s -e https_proxy=%s' %
-                               (self.work_dir,
-                                self.download_files['squeezenet1.1.caffemodel'],
-                                proxy_port))
-
-    def test_can_download_squeezenet_prototxt(self, proxy_port):
-        return self.target.run('cd %s; wget %s -e https_proxy=%s' %
-                               (self.work_dir,
-                                self.download_files['squeezenet1.1.prototxt'],
-                                proxy_port))