[EISW-89824] [master] Rename VPUX to NPU (#19004)

* Change `VPUX`/`VPU` occurrences to `NPU`

* Switch `HARDWARE_AWARE_IGNORED_PATTERNS` VPU to NPU

* Rename `MYRIAD plugin`

* Rename vpu_patterns to npu_patterns in tools/pot

* Rename vpu.json to npu.json in tools/pot

* Rename restrict_for_vpu to restrict_for_npu in tools/pot

* Change keembayOptimalBatchNum to npuOptimalBatchNum

---------

Co-authored-by: Dan <mircea-aurelian.dan@intel.com>

samples/cpp/benchmark_app/utils.cpp

@@ -61,7 +61,7 @@ size_t InputInfo::depth() const {
 uint32_t device_default_device_duration_in_seconds(const std::string& device) {
     static const std::map<std::string, uint32_t> deviceDefaultDurationInSeconds{{"CPU", 60},
                                                                                 {"GPU", 60},
-                                                                                {"VPU", 60},
+                                                                                {"NPU", 60},
                                                                                 {"UNKNOWN", 120}};
     uint32_t duration = 0;
     for (const auto& deviceDurationInSeconds : deviceDefaultDurationInSeconds) {

samples/cpp/speech_sample/README.md

@@ -96,7 +96,7 @@ Several execution modes are supported via the ``-d`` flag:
 
 - ``CPU`` - All calculations are performed on CPU device using CPU Plugin.
 - ``GPU`` - All calculations are performed on GPU device using GPU Plugin.
-- ``VPU`` - All calculations are performed on VPU device using VPU Plugin.
+- ``NPU`` - All calculations are performed on NPU device using NPU Plugin.
 - ``GNA_AUTO`` - GNA hardware is used if available and the driver is installed. Otherwise, the GNA device is emulated in fast-but-not-bit-exact mode.
 - ``GNA_HW`` - GNA hardware is used if available and the driver is installed. Otherwise, an error will occur.
 - ``GNA_SW`` - Deprecated. The GNA device is emulated in fast-but-not-bit-exact mode.
@@ -144,7 +144,7 @@ Usage message:
        -i "<path>"                Required. Path(s) to input file(s). Usage for a single file/layer: <input_file.ark> or <input_file.npz>. Example of usage for several files/layers: <layer1>:<port_num1>=<input_file1.ark>,<layer2>:<port_num2>=<input_file2.ark>.
        -m "<path>"                Required. Path to an .xml file with a trained model (required if -rg is missing).
        -o "<path>"                Optional. Output file name(s) to save scores (inference results). Example of usage for a single file/layer: <output_file.ark> or <output_file.npz>. Example of usage for several files/layers: <layer1>:<port_num1>=<output_file1.ark>,<layer2>:<port_num2>=<output_file2.ark>.
-       -d "<device>"              Optional. Specify a target device to infer on. CPU, GPU, VPU, GNA_AUTO, GNA_HW, GNA_HW_WITH_SW_FBACK, GNA_SW_FP32, GNA_SW_EXACT and HETERO with combination of GNA as the primary device and CPU as a secondary (e.g. HETERO:GNA,CPU) are supported. The sample will look for a suitable plugin for device specified.
+       -d "<device>"              Optional. Specify a target device to infer on. CPU, GPU, NPU, GNA_AUTO, GNA_HW, GNA_HW_WITH_SW_FBACK, GNA_SW_FP32, GNA_SW_EXACT and HETERO with combination of GNA as the primary device and CPU as a secondary (e.g. HETERO:GNA,CPU) are supported. The sample will look for a suitable plugin for device specified.
        -pc                        Optional. Enables per-layer performance report.
        -q "<mode>"                Optional. Input quantization mode for GNA: static (default) or user defined (use with -sf).
        -qb "<integer>"            Optional. Weight resolution in bits for GNA quantization: 8 or 16 (default)
@@ -162,7 +162,7 @@ Usage message:
        -compile_target "<string>" Optional. Specify GNA compile target generation. May be one of GNA_TARGET_2_0, GNA_TARGET_3_0. By default, generation corresponds to the GNA HW available in the system or the latest fully supported generation by the software. See the GNA Plugin's GNA_COMPILE_TARGET config option description.
        -memory_reuse_off          Optional. Disables memory optimizations for compiled model.
    
-   Available target devices:  CPU  GNA  GPU  VPU
+   Available target devices:  CPU  GNA  GPU  NPU
    
 
 .. _model-preparation-speech:

samples/cpp/speech_sample/speech_sample.hpp

@@ -24,7 +24,7 @@ static const char model_message[] = "Required. Path to an .xml file with a train
 
 /// @brief message for assigning calculation to device
 static const char target_device_message[] =
-    "Optional. Specify a target device to infer on. CPU, GPU, VPU, GNA_AUTO, GNA_HW, "
+    "Optional. Specify a target device to infer on. CPU, GPU, NPU, GNA_AUTO, GNA_HW, "
     "GNA_HW_WITH_SW_FBACK, GNA_SW_FP32, "
     "GNA_SW_EXACT and HETERO with combination of GNA as the primary device and CPU"
     " as a secondary (e.g. HETERO:GNA,CPU) are supported. "
@@ -274,7 +274,7 @@ bool parse_and_check_command_line(int argc, char* argv[]) {
                                                  "HETERO:GNA_HW,CPU",
                                                  "HETERO:GNA_SW_EXACT,CPU",
                                                  "HETERO:GNA_SW_FP32,CPU",
-                                                 "VPU"};
+                                                 "NPU"};
 
     if (std::find(supportedDevices.begin(), supportedDevices.end(), FLAGS_d) == supportedDevices.end()) {
         throw std::logic_error("Specified device is not supported.");