Fixed some inference-engine paths (#8878)

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Ilya Churaev authored and GitHub committed 2021-11-29 07:17:36 +03:00
1 parent 497aaf9b46
commit 07651aa5c0
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@@ -781,9 +781,9 @@ WARN_LOGFILE =
# Note: If this tag is empty the current directory is searched.
INPUT = . \
../../inference-engine/src/transformations/include/transformations \
../../inference-engine/src/plugin_api \
../../openvino/itt/include/openvino
../../src/common/transformations/include/transformations \
../../src/inference/dev_api \
../../src/common/itt/include/openvino
# This tag can be used to specify the character encoding of the source files
# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
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@@ -11,7 +11,7 @@ Before creating a transformation, do the following:
### Transformation Library Structure
Transformation library is independent from Inference Engine target library named as `inference_engine_transformations`
and is located in the `inference-engine/src/transformations` directory.
and is located in the `src/common/transformations` directory.
Transformations root directory contains two folders:
* `ngraph_ops` - Contains internal opset operations that are common for plugins.
@@ -124,12 +124,12 @@ function(ie_headers_compilation_with_custom_flags)
if(IE_TEST_PLUGIN_API)
set(include_dirs
"${OpenVINO_SOURCE_DIR}/inference-engine/src/plugin_api/")
"${OpenVINO_SOURCE_DIR}/src/inference/dev_api/")
else()
set(include_dirs
"${OpenVINO_SOURCE_DIR}/src/core/include"
"${OpenVINO_SOURCE_DIR}/inference-engine/src/inference_engine/include/ie"
"${OpenVINO_SOURCE_DIR}/inference-engine/src/inference_engine/include/")
"${OpenVINO_SOURCE_DIR}/src/inference/include/ie"
"${OpenVINO_SOURCE_DIR}/src/inference/include/")
endif()
foreach(include_dir IN LISTS include_dirs)
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@@ -30,7 +30,7 @@ Post-Training Optimization Tool includes standalone command-line tool and Python
git submodule init
git submodule update
```
3) Clone DLDT repo: `git clone https://gitlab-icv.inn.intel.com/inference-engine/dldt` (Not into the post-training-compression-tool)
3) Clone DLDT repo: `git clone https://github.com/openvinotoolkit/openvino` (Not into the post-training-compression-tool)
4) Switch dldt to required branch: `feature/low_precision/develop_fp_v10`
5) Build inference engine (Instruction can be found in dldt repo)
6) Switch dldt to _mkaglins/poc_ branch (Inference engine is built from _feature/low_precision/develop_fp_v10_ branch to support `FakeQuantize` layers. ModelOptimizer is used from _mkaglins/poc_ branch. So stay on _mkaglins/poc_ branch as you've built IE and don't build it from there again)