[PyOV] Edit docs for the rest of plugins

docs/snippets/gna/__init__.py

@@ -0,0 +1,2 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0

docs/snippets/gna/configure.py

@@ -2,14 +2,17 @@
 # SPDX-License-Identifier: Apache-2.0
 
 #! [import]
-from openvino.runtime import Core
+import openvino as ov
 #! [import]
 
-model_path = "model.xml"
+from snippets import get_model
 
+model = get_model()
+
+# TODO: no GNA properties to replace strings
+#! [ov_gna_exec_mode_hw_with_sw_fback]
+core = ov.Core()
+compiled_model = core.compile_model(
+    model, device_name="GNA", config={"GNA_DEVICE_MODE": "GNA_HW_WITH_SW_FBACK"}
+)
 #! [ov_gna_exec_mode_hw_with_sw_fback]
-core = Core()
-model = core.read_model(model=model_path)
-compiled_model = core.compile_model(model, device_name="GNA",
-    config={ 'GNA_DEVICE_MODE' : 'GNA_HW_WITH_SW_FBACK'})
-#! [ov_gna_exec_mode_hw_with_sw_fback]

docs/snippets/gna/import_export.py

@@ -2,25 +2,26 @@
 # SPDX-License-Identifier: Apache-2.0
 
 #! [import]
-from openvino.runtime import Core
+import openvino as ov
 from io import BytesIO
 #! [import]
 
-model_path = "model.xml"
+from snippets import get_model
+
+model = get_model()
 blob_path = "compiled_model.blob"
 
-core = Core()
-model = core.read_model(model=model_path)
+core = ov.Core()
 compiled_model = core.compile_model(model, device_name="GNA")
 
 #! [ov_gna_export]
 user_stream = compiled_model.export_model()
-with open(blob_path, 'wb') as f:
+with open(blob_path, "wb") as f:
     f.write(user_stream)
 #! [ov_gna_export]
 
 # [ov_gna_import]
-with open(blob_path, 'rb') as f:
+with open(blob_path, "rb") as f:
     buf = BytesIO(f.read())
     compiled_model = core.import_model(buf, device_name="GNA")
-# [ov_gna_import]
+# [ov_gna_import]

docs/snippets/gna/set_batch.py

@@ -2,26 +2,28 @@
 # SPDX-License-Identifier: Apache-2.0
 
 #! [import]
-from openvino.runtime import Core, set_batch
-from openvino.preprocess import PrePostProcessor
+import openvino as ov
 #! [import]
 
-model_path = "model.xml"
 batch_size = 8
 
+# TODO: model is only available as function from snippets
 #! [ov_gna_read_model]
-core = Core()
-model = core.read_model(model=model_path)
+core = ov.Core()
+
+from snippets import get_model
+
+model = get_model(input_shape=[1, 32])
 #! [ov_gna_read_model]
 
 #! [ov_gna_set_nc_layout]
-ppp = PrePostProcessor(model)
+ppp = ov.preprocess.PrePostProcessor(model)
 for i in range(len(model.inputs)):
     input_name = model.input(i).get_any_name()
     ppp.input(i).model().set_layout("N?")
 model = ppp.build()
 #! [ov_gna_set_nc_layout]
 
 #! [ov_gna_set_batch_size]
-set_batch(model, batch_size)
-#! [ov_gna_set_batch_size]
+ov.set_batch(model, batch_size)
+#! [ov_gna_set_batch_size]

docs/snippets/gpu/__init__.py

@@ -0,0 +1,2 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0

docs/snippets/gpu/compile_model.py

@@ -2,40 +2,43 @@
 # SPDX-License-Identifier: Apache-2.0
 
 
-from openvino.runtime import Core
+import openvino as ov
+from snippets import get_model
+
+model = get_model()
 
 #! [compile_model_default_gpu]
-core = Core()
-model = core.read_model("model.xml")
+core = ov.Core()
 compiled_model = core.compile_model(model, "GPU")
 #! [compile_model_default_gpu]
 
 #! [compile_model_gpu_with_id]
-core = Core()
-model = core.read_model("model.xml")
+core = ov.Core()
 compiled_model = core.compile_model(model, "GPU.1")
 #! [compile_model_gpu_with_id]
 
 #! [compile_model_gpu_with_id_and_tile]
-core = Core()
-model = core.read_model("model.xml")
+core = ov.Core()
 compiled_model = core.compile_model(model, "GPU.1.0")
 #! [compile_model_gpu_with_id_and_tile]
 
 #! [compile_model_multi]
-core = Core()
-model = core.read_model("model.xml")
+core = ov.Core()
 compiled_model = core.compile_model(model, "MULTI:GPU.1,GPU.0")
 #! [compile_model_multi]
 
 #! [compile_model_batch_plugin]
-core = Core()
-model = core.read_model("model.xml")
+core = ov.Core()
 compiled_model = core.compile_model(model, "BATCH:GPU")
 #! [compile_model_batch_plugin]
 
 #! [compile_model_auto_batch]
-core = Core()
-model = core.read_model("model.xml")
-compiled_model = core.compile_model(model, "GPU", {"PERFORMANCE_HINT": "THROUGHPUT"})
+core = ov.Core()
+compiled_model = core.compile_model(
+    model,
+    "GPU",
+    {
+        ov.properties.hint.performance_mode(): ov.properties.hint.PerformanceMode.THROUGHPUT,
+    },
+)
 #! [compile_model_auto_batch]

docs/snippets/gpu/custom_kernels_api.py

@@ -1,10 +1,10 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+import openvino as ov
 
-from openvino.runtime import Core
-
+# TODO: missing property to replace string
 #! [part0]
-core = Core()
+core = ov.Core()
 core.set_property("GPU", {"CONFIG_FILE": "<path_to_the_xml_file>"})
 #! [part0]

docs/snippets/gpu/dynamic_batch.py

@@ -2,7 +2,10 @@
 # SPDX-License-Identifier: Apache-2.0
 
 
-import openvino.runtime as ov
+import openvino as ov
+from snippets import get_model
+
+model = get_model()
 
 #! [dynamic_batch]
 core = ov.Core()
@@ -11,7 +14,6 @@
 H = 224
 W = 224
 
-model = core.read_model("model.xml")
 model.reshape([(1, 10), C, H, W])
 
 # compile model and create infer request
@@ -23,6 +25,9 @@
 
 # ...
 
-infer_request.infer([input_tensor])
+results = infer_request.infer([input_tensor])
 
 #! [dynamic_batch]
+
+assert list(results.keys())[0].partial_shape == ov.PartialShape([(1, 10), 3, 224, 224])
+assert list(results.values())[0].shape == tuple(ov.Shape([2, 3, 224, 224]))

docs/snippets/gpu/preprocessing_nv12_two_planes.py

@@ -1,18 +1,21 @@
 # Copyright (C) 2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+from snippets import get_model
+
+model = get_model()
+
 #! [init_preproc]
-from openvino.runtime import Core, Type, Layout
+import openvino as ov
 from openvino.preprocess import PrePostProcessor, ColorFormat
 
-core = Core()
-model = core.read_model("model.xml")
+core = ov.Core()
 
 p = PrePostProcessor(model)
-p.input().tensor().set_element_type(Type.u8) \
-                  .set_color_format(ColorFormat.NV12_TWO_PLANES, ["y", "uv"]) \
-                  .set_memory_type("GPU_SURFACE")
+p.input().tensor().set_element_type(ov.Type.u8).set_color_format(
+    ColorFormat.NV12_TWO_PLANES, ["y", "uv"]
+).set_memory_type("GPU_SURFACE")
 p.input().preprocess().convert_color(ColorFormat.BGR)
-p.input().model().set_layout(Layout("NCHW"))
+p.input().model().set_layout(ov.Layout("NCHW"))
 model_with_preproc = p.build()
 #! [init_preproc]