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[CPU] Enable Python test test_infer_request.test_infer_mixed_values with bool for ARM (#17111)

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* Update test_infer_request.py

* enable all py tests
This commit is contained in:
Aleksandr Voron 2023-04-21 17:52:32 +02:00 committed by GitHub
parent 50a6c88ea3
commit e31b00c299
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4 changed files with 0 additions and 28 deletions
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13
src/bindings/python/tests/test_runtime/test_infer_request.py
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@ -50,9 +50,6 @@ def create_simple_request_and_inputs(device):
def concat_model_with_data(device, ov_type, numpy_dtype):
core = Core()
# todo: remove as 101726 will be fixed.
if ov_type == Type.boolean and device == "CPU" and "Intel" not in core.get_property(device, "FULL_DEVICE_NAME"):
pytest.skip("This test runs only on openvino intel cpu plugin")
input_shape = [5]
@ -209,9 +206,6 @@ def test_set_tensors(device):
def test_batched_tensors(device):
core = Core()
if device == "CPU":
if "Intel" not in core.get_property(device, "FULL_DEVICE_NAME"):
pytest.skip("Can't run on ARM plugin")
batch = 4
one_shape = [1, 2, 2, 2]
@ -646,9 +640,6 @@ def test_infer_queue_get_idle_handle(device):
)
def test_query_state_write_buffer(device, input_shape, data_type, mode):
core = Core()
if device == "CPU":
if core.get_property(device, "FULL_DEVICE_NAME") == "arm_compute::NEON":
pytest.skip("Can't run on ARM plugin")
from openvino.runtime import Tensor
from openvino.runtime.utils.types import get_dtype
@ -894,8 +885,6 @@ def test_invalid_inputs(device, shared_flag):
def test_infer_dynamic_model(device):
core = Core()
if device == "CPU" and "Intel" not in core.get_property(device, "FULL_DEVICE_NAME"):
pytest.skip("This test fails on ARM plugin because it doesn't support dynamic shapes.")
param = ops.parameter(PartialShape([-1, -1]))
model = Model(ops.relu(param), [param])
@ -1096,8 +1085,6 @@ def test_mixed_scalar_infer(device, shared_flag, input_data):
])
def test_mixed_dynamic_infer(device, shared_flag, input_data):
core = Core()
if device == "CPU" and "Intel" not in core.get_property(device, "FULL_DEVICE_NAME"):
pytest.skip("This test fails on ARM plugin because it doesn't support dynamic shapes.")
param0 = ops.parameter([], np.float32, name="data0")
param1 = ops.parameter(["?"], np.float32, name="data1")
add = ops.add(param0, param1, name="add")

3
src/bindings/python/tests_compatibility/test_inference_engine/test_Blob.py
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@ -100,9 +100,6 @@ def test_incompatible_input_precision():
def test_buffer_values_after_add_outputs(device):
test_net_xml_fp16, test_net_bin_fp16 = model_path(is_fp16=True)
ie_core = IECore()
if device == "CPU":
if ie_core.get_metric(device, "FULL_DEVICE_NAME") == "arm_compute::NEON":
pytest.skip("Can't run on ARM plugin due-to ngraph")
net = ie_core.read_network(model=test_net_xml_fp16, weights=test_net_bin_fp16)
output_layer = "22"
net.add_outputs(output_layer)

6
src/bindings/python/tests_compatibility/test_inference_engine/test_ExecutableNetwork.py
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@ -205,9 +205,6 @@ def test_plugin_accessible_after_deletion(device):
def test_exec_graph(device):
ie_core = ie.IECore()
if device == "CPU":
if ie_core.get_metric(device, "FULL_DEVICE_NAME") == "arm_compute::NEON":
pytest.skip("Can't run on ARM plugin due-to get_exec_graph_info method isn't implemented")
net = ie_core.read_network(model=test_net_xml, weights=test_net_bin)
exec_net = ie_core.load_network(net, device)
img = generate_image()
@ -313,9 +310,6 @@ def test_outputs_deallocation(device):
def test_exec_graph_info_deallocation(device):
ie_core = ie.IECore()
if device == "CPU":
if ie_core.get_metric(device, "FULL_DEVICE_NAME") == "arm_compute::NEON":
pytest.skip("Can't run on ARM plugin due-to get_exec_graph_info method isn't implemented")
net = ie_core.read_network(model=test_net_xml, weights=test_net_bin)
exec_net = ie_core.load_network(net, device)
exec_graph_info = exec_net.get_exec_graph_info()

6
src/bindings/python/tests_compatibility/test_inference_engine/test_InferRequest.py
View File

@ -430,9 +430,6 @@ def test_set_negative_batch_size(device):
def test_blob_setter(device):
ie_core = ie.IECore()
if device == "CPU":
if ie_core.get_metric(device, "FULL_DEVICE_NAME") == "arm_compute::NEON":
pytest.skip("Can't run on ARM plugin")
net = ie_core.read_network(test_net_xml, test_net_bin)
exec_net_1 = ie_core.load_network(network=net, device_name=device, num_requests=1)
@ -510,9 +507,6 @@ def test_resize_algorithm_work(device):
"Memory layers fully supported only on CPU")
def test_query_state_write_buffer(device, input_shape, data_type, mode):
ie_core = ie.IECore()
if device == "CPU":
if ie_core.get_metric(device, "FULL_DEVICE_NAME") == "arm_compute::NEON":
pytest.skip("Can't run on ARM plugin")
layout = ["C", "HW", "CHW", "NCHW"]