* MulticlassNms-8 spec.
This Op functionally extends NonMaxSuppression-5, to perform more post-processing phases, and lay out
the detection outputs in the way of PaddlePaddle detection.
* Update MulticlassNMS_8.md
Clarify the meaning of "nms_top_k".
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Deprecated the get_default_value method of Node class
* Cleanup of the obsolete get_version methods
* Deprecation warnings suppression
* Deprecation of get_default_value for v0 ops
* [IE]: Enables Abstract class -> Parameter conversion support
Parameter has templated constructor allowing to write code
```
Parameter p = i; // i of type int for example
```
This constructor uses SFINAE to resolve ambiguity with
move-constructor, so checks that argument is not of the same type.
In case it's not the same type it calls std::tuple constructors that
constructs an instance of argument type. In the following case:
```
Parameter p = static_cast<Parameter>(abstractRef);
// abstractRef is a reference to abstract class
```
We have a reference to some abstract class that defines explicit
cast operator to Parameter. In contrast with expectations,
instead of cast operator, Parameter constructor is instantiated,
since template type deduction for Parameter constructor didn't fail
(abstract class has not the same type as Parameter). Instantiation
of tuple constructor used inside failed: it's impossible to create an
instance of abstract class what lead to compile-time error. To resolve
the issue additional condition introduced to check if argument type is
abstract.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE]: Enables PrintTo method for Parameter and tests on it
Inference Engine API for configuration options uses Parameter
type as a return type of GetConfig method. Parameter is intended
to store object associated with configuration option.
To support objects of different types its constructor is templated.
Parameter overloads cast operators which are templated
as well. Both constructor and cast operators are implicit, which
makes it possible to implicitly convert any type to Parameter
and vice versa.
Since Parameter is a part of Inference Engine configuration API it's
essential google tests on API contain Parameter as tests parameter.
For each test parameter Google Test framework tries to print it to
an output stream. For that purpose, Google Test checks if test
parameter has output stream operator or PrintTo method. If not, it
checks if it could be implicitly converted to integral type and,
in this case, prints it as a long integer.
InferenceEngine::Parameter does not define output stream operator,
but could be implicitly converted to an integer, according cast
operators mentioned above, so Google Test tries to convert to
integer. Since Parameter not necessarily contains integer, this
conversion throws an exception of type mismatch, which makes it
impossible to use Parameter in Google Test framework as is.
In order to resolve that issue Parameter should define either
output stream operator or PrintTo method. If Parameter will
define output stream operator it will make it possible to compile
streaming almost any object to an output stream. The reason for it
is C++ checks if object could be implicitly converted to other type
which defines output stream operator, if objects itself doesn't do it
(e.g. `stream << "text";` calls std::string::operator<<, since
char const* is implicitly convertible to std::string).
Taking this into consideration the only way to support Parameter in
Google Test without breaking backward compatibility is define PrintTo
method.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE]: Fixes ill-formed extending std names
According to the standard:
The behavior of a C++ program is undefined if
it adds declarations or definitions to namespace
std or to a namespace within namespace std unless
otherwise specified. A program may add a template
specialization for any standard library template
to namespace std only if the declaration depends
on a user-defined type and the specialization meets
the standard library requirements for the original
template and is not explicitly prohibited.
As as an unexpected result, InferenceEngine::Parameter
that contains std::vector<std::string> can be printed
via PrintTo. In that case operator<< version from
Inference Engine is picked up.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Moves CompilationConfig out of GT header
Keeping config in a separate header simplifies migration
to new interface.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Removes Platform enum
Since there is enum from MVNC for the same purpose
there is no need in Platform anyway
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Introduces containers utility header
Contains some helpers to work with C++ maps
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Introduces new configuration API
The main ideas are separate option-specific logic
from common container, automate logic processing
public vs private, deprecated, compile-time vs
runtime-time options and remove code duplication.
Since IE defines configuration API using std::string
and Parameter, options have to provide ways to be
represented as Parameter (ex.: GetConfig is called)
and be defined using std::string (ex.: SetConfig is
called). Keeping information about actual key value
is useful for error reporting.
New API fallbacks to previous version in case of
unsupported options are requested. This way migration
becomes iterative and looks simpler.
Options containers are related to corresponding components:
CompilationConfig (name to be changed) - GraphTransformer,
PluginConfiguration - base class for plugins configurations,
MyriadConfiguration - Myriad plugin configuration,
HDDLConfiguration - HDDL plugin configuration (to be
introduced in a separate request)
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Replaces CompilationConfig with PluginConfiguration
Some of options to be refactored are stored inside CompilationConfig.
CompilationConfig is passed to graph transformer as a compiler to be
processed. Since it's separate data structure and migration process
is iterative we need a mechanism to provide some of compilation
options from new interface and some from old. It cannot be done via
plugin specific class (MyriadConfiguration), since there are others
plugins as graph transformer users. Plugin specific class
(MyriadConfiguration) already inherits from old version (MyriadConfig),
which in turn inherits from ParsedConfig containing CompilationConfig.
To resolve the issue MyriadConfig inheritance from ParsedConfig is made
virtual to make it possible for PluginConfiguration to virtually inherit
from ParsedConfig as well an so make PluginConfiguration data structure
for configuration options for graph transformer. Since
PluginConfiguration is base class of MyriadConfiguration as well as
MyriadConfig and inheritance is virtual plugin just casts its specific
configuration to base one passing to graph transformer.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Enables new tests on configuration API
* Enables following new shared tests on configuration API
* Can load network with empty configuration
* Check default value for configuration option
* Can load network with correct configuration
* Check custom value for configuration option (set and compare)
* Check public configuration options are visible through API
* Check private configuration options are invisible through API
* Check GetConfig throws an exception on incorrect key
* Refactors myriad plugin instantiations for shared tests
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Extracts LogLevel enum to a separate header
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Refactors LOG_LEVEL configuration option
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Refactors COPY_OPTIMIZATION configuration option
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Fixes behavior tests build
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Updates tests on new exception class
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Removes unused variable from mvnc test
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [IE][VPU]: Removes SizeVector streaming call
New assertion macro IE_ASSERT implementation uses
output streaming operator with r-value reference
argument as a stream. This prevents the compiler
from picking up overload from InferenceEngine::details,
since our version takes stream by non-const l-value
reference.
Since there is no simple solution to provide output
streaming operator overload for r-value references as
well and this call is just a message for assert in
test utilities, it was decided just to remove call
for now.
Signed-off-by: Gladilov, Gleb <gleb.gladilov@intel.com>
* [CPU] Refactor load_emitter_context semantic. Update store emitter
New load_emitter_context constructor arguments order
seems to be more convenient.
Store emitter now emits bf16 emu.
* [PP] POC of vectorised kernels refactoring
- base/framework changes
* [PP] POC of vectorised kernels refactoring
- ChanToPlane implementation
* [PP] POC of vectorised kernels refactoring
- ChanToPlane, switched order of dispatching to first choose ISA type
* [PP] POC of vectorised kernels refactoring
- ChanToPlane, moved choose ISA stage to kernel package generation
* Preparing
* NV12ToRGB kernel refactoring
* * I420ToRGB kernel refactoring
Co-authored-by: Anton Potapov <anton.potapov@intel.com>
* Revise reference implementation for ReduceMin operation
* Refactor backend unit tests
* Move tests with zero dims to op_eval
* Fix code style
* Added minor changes
* Replace CoordinateTransform for CoordinateTransformBasic
* Added constant expression to set keep_dims as false
* Add const qualifier to local variables
* Use host tensor to retrieve and normalize axes
* Re-arrange unit tests in manifest
* Turn on IE and NG python APIs by default inside Model Optimizer
* Remove fallback
* Fix mo_ut
* Remove MO wheel tests
* Add model_optimizer custom target to gather all MO deps inside single traget
* Fix PR comments
* External_port_id is calcultaed based on number of op inputs.
* Add test for external_port_id serialization.
* Restore data section appearance in xml file.
* Revise reference implementation for ReduceMax operation
* Refactor backend unit tests
* Move tests with zero dims to op_eval
* Remove test with double elem type
* Fix code style
* Added minor changes
* Replace CoordinateTransform for CoordinateTransformBasic
* Added constant expression to set keep_dims as false
* Add const qualifier to local variables
* Use host tensor to retrieve and normalize axes
* StridedSlice spec refactored against explicit type indication.
* Add name to data input.
* Add new examples.
* Changed T to 'any supported type'.
* Remove mention about 'generalized python indexing' from short
description.
* refactor part of the docs file to use \dots
* refector docs
* add function enclosure for docs
* split function enclosurs across lines
* add latex operations to spec
* fix style
* fix missing index
* remove link to tensorflow operation
* Remove commas from formula.
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* Remove CoordinateTransform call to index function to calculate tensor element indexes
* Allow negative axis values in axes host tensor
* Added constant expression to set keep_dims as false
* Use rank from host tensor to normalize axes
* Address minor comments
* Add const qualifier to local variables
* Add deprecated macro for arm plugin dependent function signatures
* Remove duplicate helper functions
* Revise reference implementation for ReduceL1 operation
* Revise reference implementation for ReduceL2 operation
* Move op_eval tests to backend unit tests
* Added minor changes
* Replace CoordinateTransform for CoordinateTransformBasic
* Added constant expression to set keep_dims as false
* Add const qualifier to local variables
* Use rank from host tensor to normalize axes
