IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[IE CLDNN] Added CACHE_DIR option into docs (#5592)

Browse Source
This commit is contained in:
Vladimir Paramuzov
2021-05-11 16:55:33 +03:00
committed by GitHub
parent 42226fccae
commit 0dc161ad82
1 changed files with 9 additions and 8 deletions
Download Patch File Download Diff File Expand all files Collapse all files

17
docs/IE_DG/supported_plugins/CL_DNN.md
View File

@@ -16,7 +16,7 @@ For demonstration purposes, see the [Hello Query Device C++ Sample](../../../inf
```sh
./hello_query_device
Available devices:
Available devices:
Device: CPU
...
Device: GPU.0
@@ -24,7 +24,7 @@ Available devices:
Device: GPU.1
...
Device: HDDL
```
```
## Optimizations
@@ -41,31 +41,31 @@ Merge of a Convolution layer and any of the simple layers listed below:
> **NOTE**: You can have any number and order of simple layers.
A combination of a Convolution layer and simple layers results in a single fused layer called
*Convolution*:
A combination of a Convolution layer and simple layers results in a single fused layer called
*Convolution*:
![conv_simple_01]
### Fusing Pooling and FakeQuantize Layers
A combination of Pooling and FakeQuantize layers results in a single fused layer called *Pooling*:
A combination of Pooling and FakeQuantize layers results in a single fused layer called *Pooling*:
![pooling_fakequant_01]
### Fusing Activation Layers
Given the linear pattern, an Activation layer can be fused into other layers:
![fullyconnected_activation_01]
### Fusing Convolution and Sum Layers
A combination of Convolution, Simple, and Eltwise layers with the sum operation results in a single layer called *Convolution*:
A combination of Convolution, Simple, and Eltwise layers with the sum operation results in a single layer called *Convolution*:
![conv_sum_relu_01]
### Fusing a Group of Convolutions
If a topology contains the following pipeline, a GPU plugin merges Split, Convolution, and Concatenation layers into a single Convolution layer with the group parameter:
If a topology contains the following pipeline, a GPU plugin merges Split, Convolution, and Concatenation layers into a single Convolution layer with the group parameter:
> **NOTE**: Parameters of the Convolution layers must coincide.
![group_convolutions_01]
@@ -104,6 +104,7 @@ When specifying key values as raw strings (that is, when using Python API), omit
| Parameter Name | Parameter Values | Default | Description |
|---------------------|-----------------------------|-----------------|-----------------------------------------------------------|
| `KEY_CACHE_DIR` | `"<cache_dir>"` | `""` | Specifies a directory where compiled OCL binaries can be cached. First model loading generates the cache, and all subsequent LoadNetwork calls use precompiled kernels which significantly improves load time. If empty - caching is disabled |
| `KEY_PERF_COUNT` | `YES` / `NO` | `NO` | Collect performance counters during inference |
| `KEY_CONFIG_FILE` | `"<file1> [<file2> ...]"` | `""` | Load custom layer configuration files |
| `KEY_DUMP_KERNELS` | `YES` / `NO` | `NO` | Dump the final kernels used for custom layers |