Andrey Kamaev
8425cd492c
* Fix Myriad firmware copying command for multi-target cmake generators * Remove remaining Myriad-2 references * Remove remaining Myriad-2 compute stick from documentation
89 lines
4.4 KiB
Markdown
89 lines
4.4 KiB
Markdown
# MYRIAD Plugin {#openvino_docs_IE_DG_supported_plugins_MYRIAD}
|
|
|
|
## Introducing MYRIAD Plugin
|
|
|
|
The Inference Engine MYRIAD plugin is developed for inference of neural networks on Intel® Neural Compute Stick 2.
|
|
|
|
## Installation on Linux* OS
|
|
|
|
For installation instructions, refer to the [Installation Guide for Linux*](../../install_guides/installing-openvino-linux.md).
|
|
|
|
|
|
## Installation on Windows* OS
|
|
|
|
For installation instructions, refer to the [Installation Guide for Windows*](../../install_guides/installing-openvino-windows.md).
|
|
|
|
## Supported networks
|
|
|
|
The Inference Engine MYRIAD plugin supports the following networks:
|
|
|
|
**Caffe\***:
|
|
* AlexNet
|
|
* CaffeNet
|
|
* GoogleNet (Inception) v1, v2, v4
|
|
* VGG family (VGG16, VGG19)
|
|
* SqueezeNet v1.0, v1.1
|
|
* ResNet v1 family (18\*\*\*, 50, 101, 152)
|
|
* MobileNet (mobilenet-v1-1.0-224, mobilenet-v2)
|
|
* Inception ResNet v2
|
|
* DenseNet family (121,161,169,201)
|
|
* SSD-300, SSD-512, SSD-MobileNet, SSD-GoogleNet, SSD-SqueezeNet
|
|
|
|
**TensorFlow\***:
|
|
* AlexNet
|
|
* Inception v1, v2, v3, v4
|
|
* Inception ResNet v2
|
|
* MobileNet v1, v2
|
|
* ResNet v1 family (50, 101, 152)
|
|
* ResNet v2 family (50, 101, 152)
|
|
* SqueezeNet v1.0, v1.1
|
|
* VGG family (VGG16, VGG19)
|
|
* Yolo family (yolo-v2, yolo-v3, tiny-yolo-v1, tiny-yolo-v2, tiny-yolo-v3)
|
|
* faster_rcnn_inception_v2, faster_rcnn_resnet101
|
|
* ssd_mobilenet_v1
|
|
* DeepLab-v3+
|
|
|
|
**MXNet\***:
|
|
* AlexNet and CaffeNet
|
|
* DenseNet family (121,161,169,201)
|
|
* SqueezeNet v1.1
|
|
* MobileNet v1, v2
|
|
* NiN
|
|
* ResNet v1 (101, 152)
|
|
* ResNet v2 (101)
|
|
* SqueezeNet v1.1
|
|
* VGG family (VGG16, VGG19)
|
|
* SSD-Inception-v3, SSD-MobileNet, SSD-ResNet-50, SSD-300
|
|
|
|
\*\*\* Network is tested on Intel® Neural Compute Stick 2 with BatchNormalization fusion optimization disabled during Model Optimizer import
|
|
|
|
## Supported Configuration Parameters
|
|
|
|
See VPU common configuration parameters for the [VPU Plugins](VPU.md).
|
|
When specifying key values as raw strings (that is, when using Python API), omit the `KEY_` prefix.
|
|
|
|
In addition to common parameters, the MYRIAD plugin accepts the following options:
|
|
|
|
| Parameter Name | Parameter Values | Default | Description |
|
|
| :--- | :--- | :--- | :--- |
|
|
| `KEY_VPU_MYRIAD_PLATFORM` | empty string/`VPU_MYRIAD_2450`/`VPU_MYRIAD_2480` | empty string | If set, the plugin will use a device with specific platform to allocate a network. |
|
|
| `KEY_VPU_MYRIAD_PROTOCOL` | empty string/`VPU_MYRIAD_USB`/`VPU_MYRIAD_PCIE` | empty string | If set, the plugin will use a device with specific protocol to allocate a network. |
|
|
| `KEY_VPU_MYRIAD_FORCE_RESET` | `YES`/`NO` | `NO` | Enables force reset of all booted devices when new ExecutableNetwork is created.<br />This is a plugin scope option and must be used with the plugin's SetConfig method only.<br />See <a href="#MYRIAD_DEVICE_ALLOC">Device allocation</a> section for details. |
|
|
| `KEY_VPU_PLATFORM` | empty string/`VPU_2450`/`VPU_2480` | empty string | **Deprecated** Use `KEY_VPU_MYRIAD_PLATFORM` instead. <br />If set, the plugin will use a device with specific platform to allocate a network. |
|
|
| `KEY_VPU_FORCE_RESET` | `YES`/`NO` | `NO` | **Deprecated** Use `KEY_VPU_MYRIAD_FORCE_RESET` instead. <br />Enables force reset of all booted devices when new ExecutableNetwork is created.<br />This is a plugin scope option and must be used with the plugin's SetConfig method only.<br />See <a href="#MYRIAD_DEVICE_ALLOC">Device allocation</a> section for details. |
|
|
|
|
## Device allocation <a name="MYRIAD_DEVICE_ALLOC"> </a>
|
|
|
|
Each `IExecutableNetwork` instance tries to allocate new device on `InferenceEngine::Core::LoadNetwork`, but if all available devices are already allocated it will use the one with the minimal number of uploaded networks.
|
|
The maximum number of networks single device can handle depends on device memory capacity and the size of the networks.
|
|
|
|
If `KEY_VPU_MYRIAD_FORCE_RESET` option is set to `YES` the plugin will reset all VPU devices in the system.
|
|
|
|
Single device cannot be shared across multiple processes.
|
|
|
|
## See Also
|
|
|
|
* [Supported Devices](Supported_Devices.md)
|
|
* [VPU Plugins](VPU.md)
|
|
* [Intel® Neural Compute Stick 2 Get Started](https://software.intel.com/en-us/neural-compute-stick/get-started)
|