diff --git a/include/aidge/backend/OperatorImpl.hpp b/include/aidge/backend/OperatorImpl.hpp
index 6a9056723df133fef62e56f969d39d8f69390a76..1fc9168da120ba87c916b1a6a346997be69184b4 100644
--- a/include/aidge/backend/OperatorImpl.hpp
+++ b/include/aidge/backend/OperatorImpl.hpp
@@ -23,7 +23,7 @@ class Operator;
class OperatorImpl {
public:
- OperatorImpl(const Operator& op, const std::string& backend);
+ OperatorImpl(const Operator& op, const std::string& backend = "");
virtual void forward();
virtual void backward();
diff --git a/include/aidge/operator/Cast.hpp b/include/aidge/operator/Cast.hpp
index bbc776a1175a1fc29d08c3872649a6b7aac2f04f..6efbc0a214dde3ca969226f734b5ee903fe5ab50 100644
--- a/include/aidge/operator/Cast.hpp
+++ b/include/aidge/operator/Cast.hpp
@@ -24,13 +24,20 @@
#include "aidge/utils/Types.h"
namespace Aidge {
+class Cast_OpImpl : public OperatorImpl {
+public:
+ Cast_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ void forward() override;
+};
class Cast_Op : public OperatorTensor,
public Registrable<Cast_Op, std::string, std::unique_ptr<OperatorImpl>(const Cast_Op&)> {
public:
static const std::string Type;
- Cast_Op() : OperatorTensor(Type, 1, 0, 1) {}
+ Cast_Op() : OperatorTensor(Type, 1, 0, 1) {
+ mImpl = std::make_shared<Cast_OpImpl>(*this);
+ }
/**
* @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
@@ -39,10 +46,11 @@ public:
Cast_Op(const Cast_Op& op)
: OperatorTensor(op)
{
- if (op.mImpl) {
+ if (!op.backend().empty()) {
SET_IMPL_MACRO(Cast_Op, *this, op.backend());
- } else {
- mImpl = nullptr;
+ }
+ else {
+ mImpl = std::make_shared<Cast_OpImpl>(*this);
}
}
@@ -56,8 +64,6 @@ public:
void setBackend(const std::string& name, DeviceIdx_t device = 0) override;
- void forward() override;
-
static const std::vector<std::string> getInputsName(){
return {"data_input"};
}
diff --git a/include/aidge/operator/Concat.hpp b/include/aidge/operator/Concat.hpp
index 97c477db591a29987f88b0c58beaf128169624ea..32a519dbc750361c7ad1b6686d37a0766faf696e 100644
--- a/include/aidge/operator/Concat.hpp
+++ b/include/aidge/operator/Concat.hpp
@@ -26,6 +26,12 @@
#include "aidge/utils/Types.h"
namespace Aidge {
+class Concat_OpImpl : public OperatorImpl {
+public:
+ Concat_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ void forward() override;
+};
+
enum class ConcatAttr { Axis };
class Concat_Op : public OperatorTensor,
@@ -45,6 +51,7 @@ public:
if (nbIn == 0) {
AIDGE_THROW_OR_ABORT(std::runtime_error, "Add operator should have at least one input.");
}
+ mImpl = std::make_shared<Concat_OpImpl>(*this);
}
/**
@@ -55,10 +62,11 @@ public:
: OperatorTensor(op),
Attributes_(op)
{
- if (op.mImpl){
+ if (!op.backend().empty()) {
SET_IMPL_MACRO(Concat_Op, *this, op.backend());
- }else{
- mImpl = nullptr;
+ }
+ else {
+ mImpl = std::make_shared<Concat_OpImpl>(*this);
}
}
diff --git a/include/aidge/operator/GenericOperator.hpp b/include/aidge/operator/GenericOperator.hpp
index 6208ea0a920e6b088dfb60ca49237d5f6664b08e..49885f9fdae05a55552869a6543ef1810aa1dfae 100644
--- a/include/aidge/operator/GenericOperator.hpp
+++ b/include/aidge/operator/GenericOperator.hpp
@@ -37,7 +37,7 @@ public:
GenericOperator_Op(const std::string& type, IOIndex_t nbData, IOIndex_t nbParam, IOIndex_t nbOut)
: OperatorTensor(type, nbData, nbParam, nbOut)
{
- mImpl = std::make_shared<OperatorImpl>(*this, "");
+ mImpl = std::make_shared<OperatorImpl>(*this);
}
/**
diff --git a/include/aidge/operator/Identity.hpp b/include/aidge/operator/Identity.hpp
index 51c70eae573513ef0c897bf6f71371512c467a0b..f49711837b9b5c5126dce18a1864b2ed156af6f4 100644
--- a/include/aidge/operator/Identity.hpp
+++ b/include/aidge/operator/Identity.hpp
@@ -42,7 +42,7 @@ public:
Identity_Op()
: OperatorTensor(Type, 1, 0, 1)
{
- mImpl = std::make_shared<OperatorImpl>(*this, "");
+ mImpl = std::make_shared<OperatorImpl>(*this);
}
/**
diff --git a/include/aidge/operator/Memorize.hpp b/include/aidge/operator/Memorize.hpp
index 89d2652834101a0cfb4038c610d54c151a3760f4..6f668a94238cf7ba62b3cf2776729ff9f41e5b1a 100644
--- a/include/aidge/operator/Memorize.hpp
+++ b/include/aidge/operator/Memorize.hpp
@@ -25,6 +25,15 @@
#include "aidge/utils/Types.h"
namespace Aidge {
+class Memorize_OpImpl : public OperatorImpl {
+public:
+ Memorize_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ Elts_t getNbRequiredData(const IOIndex_t inputIdx) const override final;
+ Elts_t getRequiredMemory(const IOIndex_t outputIdx, const std::vector<DimSize_t> &inputsSize) const override final;
+ void updateConsummerProducer() override;
+ void forward() override;
+};
+
enum class MemorizeAttr { ScheduleStep, ForwardStep, EndStep };
class Memorize_Op : public OperatorTensor,
diff --git a/include/aidge/operator/Move.hpp b/include/aidge/operator/Move.hpp
index 3652cf9697c6bcfea4befe4cdcdf5b9efff8b70c..e9bcaa871619828a50dcd407d39744e7983fe2c4 100644
--- a/include/aidge/operator/Move.hpp
+++ b/include/aidge/operator/Move.hpp
@@ -24,13 +24,20 @@
#include "aidge/utils/Types.h"
namespace Aidge {
+class Move_OpImpl : public OperatorImpl {
+public:
+ Move_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ void forward() override;
+};
class Move_Op : public OperatorTensor,
public Registrable<Move_Op, std::tuple<std::string, std::string>, std::unique_ptr<OperatorImpl>(const Move_Op&)> {
public:
static const std::string Type;
- Move_Op() : OperatorTensor(Type, 1, 0, 1) {}
+ Move_Op() : OperatorTensor(Type, 1, 0, 1) {
+ mImpl = std::make_shared<Move_OpImpl>(*this);
+ }
/**
* @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
@@ -39,7 +46,12 @@ public:
Move_Op(const Move_Op& op)
: OperatorTensor(op)
{
- mImpl = op.mImpl ? Registrar<Move_Op>::create({mInputs[0]->getImpl()->backend(), mOutputs[0]->getImpl()->backend()})(*this) : nullptr;
+ if (!op.backend().empty()) {
+ SET_IMPL_MACRO(Move_Op, *this, {op.getInput(0)->getImpl()->backend(), op.backend()});
+ }
+ else {
+ mImpl = std::make_shared<Move_OpImpl>(*this);
+ }
}
/**
@@ -50,14 +62,7 @@ public:
return std::make_shared<Move_Op>(*this);
}
- void setBackend(const std::string& name, DeviceIdx_t device = 0) override {
- if (mInputs[0]->getImpl() && Registrar<Move_Op>::exists({mInputs[0]->getImpl()->backend(), name})) {
- mImpl = Registrar<Move_Op>::create({mInputs[0]->getImpl()->backend(), name})(*this);
- }
- mOutputs[0]->setBackend(name, device);
- }
-
- void forward() override;
+ void setBackend(const std::string& name, DeviceIdx_t device = 0) override;
static const std::vector<std::string> getInputsName(){
return {"data_input"};
diff --git a/include/aidge/operator/Pop.hpp b/include/aidge/operator/Pop.hpp
index c584390ca6b8b151020f8d858e6c2d94683328d1..372faff6a89e364e71f77df3bd4573705ab86fed 100644
--- a/include/aidge/operator/Pop.hpp
+++ b/include/aidge/operator/Pop.hpp
@@ -24,6 +24,13 @@
#include "aidge/utils/Types.h"
namespace Aidge {
+class Pop_OpImpl : public OperatorImpl {
+public:
+ Pop_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ Elts_t getNbRequiredData(const IOIndex_t inputIdx) const override;
+ void forward() override;
+};
+
enum class PopAttr { ForwardStep };
class Pop_Op : public OperatorTensor,
@@ -39,7 +46,9 @@ public:
Pop_Op()
: OperatorTensor(Type, 1, 0, 1),
Attributes_(attr<PopAttr::ForwardStep>(0))
- {}
+ {
+ mImpl = std::make_shared<Pop_OpImpl>(*this);
+ }
/**
* @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
@@ -49,10 +58,11 @@ public:
: OperatorTensor(op),
Attributes_(op)
{
- if (op.mImpl){
+ if (!op.backend().empty()) {
SET_IMPL_MACRO(Pop_Op, *this, op.backend());
- } else {
- mImpl = nullptr;
+ }
+ else {
+ mImpl = std::make_shared<Pop_OpImpl>(*this);
}
}
diff --git a/include/aidge/operator/Producer.hpp b/include/aidge/operator/Producer.hpp
index 79a116e4a0a2267084ae3d8961b924a596c2d5e0..e21aa9aea936568dfb5d5ddd40779dc0acc06160 100644
--- a/include/aidge/operator/Producer.hpp
+++ b/include/aidge/operator/Producer.hpp
@@ -47,7 +47,7 @@ public:
Attributes_(attr<ProdAttr::Constant>(constant))
{
mOutputs[0]->resize(dims);
- mImpl = std::make_shared<OperatorImpl>(*this, "");
+ mImpl = std::make_shared<OperatorImpl>(*this);
}
/**
@@ -102,9 +102,8 @@ public:
return {"data_output"};
}
- void forward() override final {
- fmt::print("Basic Producer forward() function.\n");
- }
+ void forward() override final;
+
void backward() override final {
fmt::print("Basic Producer backward() function.\n");
}
diff --git a/include/aidge/operator/Reshape.hpp b/include/aidge/operator/Reshape.hpp
index 8f1482019a4c45160125bf0dbff1479d02f62e49..bf0f7ee3492cf4e52b903401af57c701d24f9190 100644
--- a/include/aidge/operator/Reshape.hpp
+++ b/include/aidge/operator/Reshape.hpp
@@ -23,6 +23,11 @@
#include "aidge/utils/Types.h"
namespace Aidge {
+class Reshape_OpImpl : public OperatorImpl {
+public:
+ Reshape_OpImpl(const Operator& op, const std::string& backend = ""): OperatorImpl(op, backend) {}
+ void forward() override;
+};
enum class ReshapeAttr { Shape };
@@ -42,7 +47,9 @@ public:
Reshape_Op(const std::vector<std::int64_t>& shape)
: OperatorTensor(Type, 1, 0, 1),
Attributes_(attr<ReshapeAttr::Shape>(shape))
- {}
+ {
+ mImpl = std::make_shared<Reshape_OpImpl>(*this);
+ }
/**
* @brief Copy-constructor. Copy the operator attributes and its output tensor(s), but not its input tensors (the new operator has no input associated).
@@ -52,10 +59,11 @@ public:
: OperatorTensor(op),
Attributes_(op)
{
- if (op.mImpl){
+ if (!op.backend().empty()) {
SET_IMPL_MACRO(Reshape_Op, *this, op.backend());
- } else {
- mImpl = nullptr;
+ }
+ else {
+ mImpl = std::make_shared<Reshape_OpImpl>(*this);
}
}
diff --git a/include/aidge/utils/Registrar.hpp b/include/aidge/utils/Registrar.hpp
index a6d1d7a9eb5d88dedaf73564847b0f4fbd797c43..b0acdaff7cb75afec78f0564fb95c98f2b32f47b 100644
--- a/include/aidge/utils/Registrar.hpp
+++ b/include/aidge/utils/Registrar.hpp
@@ -129,16 +129,16 @@ void declare_registrable(py::module& m, const std::string& class_name){
* cyril.moineau@cea.fr
*/
#ifdef PYBIND
-#define SET_IMPL_MACRO(T_Op, op, backend_name) \
+#define SET_IMPL_MACRO(T_Op, op, ...) \
if(Py_IsInitialized()) { \
auto obj = py::cast(&(op)); \
- (op).setImpl(Registrar<T_Op>::create(backend_name)(op)); \
+ (op).setImpl(Registrar<T_Op>::create(__VA_ARGS__)(op)); \
} else { \
- (op).setImpl(Registrar<T_Op>::create(backend_name)(op)); \
+ (op).setImpl(Registrar<T_Op>::create(__VA_ARGS__)(op)); \
}
#else
-#define SET_IMPL_MACRO(T_Op, op, backend_name) \
- (op).setImpl(Registrar<T_Op>::create(backend_name)(op));
+#define SET_IMPL_MACRO(T_Op, op, ...) \
+ (op).setImpl(Registrar<T_Op>::create(__VA_ARGS__)(op));
#endif
}
diff --git a/src/operator/Cast.cpp b/src/operator/Cast.cpp
index 4f1ac55898b11668ba1c2f5299f8e1ca1d4e5df1..f1c8e25e17c80d58d444a1ddddbaa428b2fc4c41 100644
--- a/src/operator/Cast.cpp
+++ b/src/operator/Cast.cpp
@@ -20,22 +20,19 @@
#include "aidge/utils/Registrar.hpp"
#include "aidge/utils/Types.h"
-const std::string Aidge::Cast_Op::Type = "Cast";
-
-void Aidge::Cast_Op::forward() {
- if (mImpl) {
- mImpl->forward();
- }
- else {
- mOutputs[0]->copyCast(*(mInputs[0]));
- }
-
- runHooks();
+void Aidge::Cast_OpImpl::forward() {
+ const Cast_Op& op = dynamic_cast<const Cast_Op&>(mOp);
+ op.getOutput(0)->copyCast(*(op.getInput(0)));
}
+const std::string Aidge::Cast_Op::Type = "Cast";
+
void Aidge::Cast_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
if (Registrar<Cast_Op>::exists({name})) {
SET_IMPL_MACRO(Cast_Op, *this, name);
}
+ else {
+ mImpl = std::make_shared<Cast_OpImpl>(*this);
+ }
mOutputs[0]->setBackend(name, device);
}
diff --git a/src/operator/Concat.cpp b/src/operator/Concat.cpp
index d2bfd17ba29cde3a89e114d57cb6d860cdbc2fee..929000a5f4ceeb4c073b8edd919ac976fc651ae2 100644
--- a/src/operator/Concat.cpp
+++ b/src/operator/Concat.cpp
@@ -18,6 +18,45 @@
#include "aidge/utils/StaticAttributes.hpp"
#include "aidge/utils/Types.h"
+void Aidge::Concat_OpImpl::forward() {
+ const Concat_Op& op = dynamic_cast<const Concat_Op&>(mOp);
+ const DimSize_t axis = op.template getAttr<DimSize_t>("Axis");
+
+ assert(op.getInput(0) && "missing input in Concat operator");
+ DataType datatypeFirstInput = op.getInput(0)->dataType();
+ for (IOIndex_t i = 1; i < mOp.nbInputs(); ++i) {
+ assert(op.getInput(i) && "missing input in Concat operator");
+ assert(op.getInput(i)->dataType() == datatypeFirstInput);
+ }
+
+ DimSize_t outputAxisValue = 0;
+ for (IOIndex_t i = 0; i < mOp.nbInputs(); ++i) {
+ outputAxisValue += op.getInput(i)->dims()[axis];
+ }
+
+ DimSize_t prodDimLower = 1;
+ for (DimIdx_t i = 0; i < axis; ++i) {
+ prodDimLower *= op.getInput(0)->dims()[i];
+ }
+ DimSize_t prodDimHigher = 1;
+ for (DimIdx_t i = axis + 1; static_cast<std::size_t>(i) < op.getInput(0)->dims().size();
+ ++i) {
+ prodDimHigher *= op.getInput(0)->dims()[i];
+ }
+
+ std::size_t oIndexStart = 0;
+ std::size_t oIndex = 0;
+ for (std::size_t inputId = 0; inputId < op.nbInputs(); ++inputId) {
+ oIndex = oIndexStart;
+ const DimSize_t iOffset = prodDimHigher*op.getInput(inputId)->dims()[axis];
+ for (std::size_t iIndex = 0; iIndex < prodDimLower; ++iIndex) {
+ op.getOutput(0)->getImpl()->copy(op.getInput(inputId)->getImpl()->rawPtr(iIndex*iOffset), iOffset, oIndex);
+ oIndex += prodDimHigher*outputAxisValue;
+ }
+ oIndexStart += op.getInput(inputId)->dims()[axis]*prodDimHigher;
+ }
+}
+
const std::string Aidge::Concat_Op::Type = "Concat";
bool Aidge::Concat_Op::computeOutputDims(bool /*allowDataDependency*/) {
@@ -54,6 +93,11 @@ bool Aidge::Concat_Op::computeOutputDims(bool /*allowDataDependency*/) {
}
void Aidge::Concat_Op::setBackend(const std::string& name, DeviceIdx_t device) {
- SET_IMPL_MACRO(Concat_Op, *this, name);
+ if (Registrar<Concat_Op>::exists({name})) {
+ SET_IMPL_MACRO(Concat_Op, *this, name);
+ }
+ else {
+ mImpl = std::make_shared<Concat_OpImpl>(*this);
+ }
mOutputs[0]->setBackend(name, device);
}
diff --git a/src/operator/Memorize.cpp b/src/operator/Memorize.cpp
index 3490a5f6dda864b6f0e645b43e072ddffef3522d..4e802816a13fcfb0fbfa266ca79baac3e6423a3b 100644
--- a/src/operator/Memorize.cpp
+++ b/src/operator/Memorize.cpp
@@ -20,8 +20,73 @@
#include "aidge/utils/ErrorHandling.hpp"
#include "aidge/utils/Types.h"
+Aidge::Elts_t Aidge::Memorize_OpImpl::getNbRequiredData(
+ Aidge::IOIndex_t inputIdx) const
+{
+ const Memorize_Op& op = dynamic_cast<const Memorize_Op&>(mOp);
+ const unsigned int scheduleStep = op.template getAttr<MemorizeAttr::ScheduleStep>();
+
+ if (scheduleStep == 0 && inputIdx == 0) {
+ // No data input is required for the initial step.
+ // Initialization data is required however.
+ return Elts_t::NoneElts();
+ }
+ else if (scheduleStep > 0 && inputIdx == 1) {
+ // No initialization data is required after the initial step.
+ return Elts_t::NoneElts();
+ }
+ else {
+ return OperatorImpl::getNbRequiredData(inputIdx);
+ }
+}
+
+Aidge::Elts_t Aidge::Memorize_OpImpl::getRequiredMemory(const Aidge::IOIndex_t outputIdx,
+ const std::vector<Aidge::DimSize_t> &/*inputsSize*/) const {
+ assert(mOp.getRawOutput(outputIdx) && "requires valid output");
+
+ const Memorize_Op& op = dynamic_cast<const Memorize_Op&>(mOp);
+ const unsigned int scheduleStep = op.template getAttr<MemorizeAttr::ScheduleStep>();
+ const unsigned int endStep = op.template getAttr<MemorizeAttr::EndStep>();
+
+ if (endStep > 0 && outputIdx == 1 && scheduleStep >= endStep) {
+ return Elts_t::NoneElts();
+ }
+ else {
+ return Elts_t::DataElts(op.getOutput(outputIdx)->size());
+ }
+}
+
+void Aidge::Memorize_OpImpl::updateConsummerProducer() {
+ OperatorImpl::updateConsummerProducer();
+
+ const Memorize_Op& op = dynamic_cast<const Memorize_Op&>(mOp);
+ const unsigned int scheduleStep = op.template getAttr<MemorizeAttr::ScheduleStep>();
+ const unsigned int endStep = op.template getAttr<MemorizeAttr::EndStep>();
+ AIDGE_ASSERT(endStep == 0 || scheduleStep <= endStep, "cannot update consumer producer anymore, number of cycles exceeded");
+}
+
+void Aidge::Memorize_OpImpl::forward() {
+ const Memorize_Op& op = dynamic_cast<const Memorize_Op&>(mOp);
+ const unsigned int forwardStep = op.template getAttr<MemorizeAttr::ForwardStep>();
+ const unsigned int endStep = op.template getAttr<MemorizeAttr::EndStep>();
+ AIDGE_ASSERT(endStep == 0 || forwardStep <= endStep, "cannot forward anymore, number of cycles exceeded");
+
+ if (forwardStep == 0) {
+ op.getOutput(0)->getImpl()->copy(op.getInput(1)->getImpl()->rawPtr(), op.getInput(1)->size());
+ }
+ else {
+ op.getOutput(0)->getImpl()->copy(op.getInput(0)->getImpl()->rawPtr(), op.getInput(0)->size());
+ }
+}
+
const std::string Aidge::Memorize_Op::Type = "Memorize";
+void Aidge::Memorize_Op::updateConsummerProducer() {
+ Operator::updateConsummerProducer();
+ ++this->template getAttr<MemorizeAttr::ScheduleStep>();
+ this->template getAttr<MemorizeAttr::ForwardStep>() = 0;
+}
+
bool Aidge::Memorize_Op::computeOutputDims(bool /*allowDataDependency*/) {
for (size_t i = 0; i < 2; ++i) {
if (!getInput(i)) {
@@ -45,11 +110,6 @@ bool Aidge::Memorize_Op::computeOutputDims(bool /*allowDataDependency*/) {
return false;
}
-void Aidge::Memorize_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
- mImpl = Registrar<Memorize_Op>::create({name})(*this);
- mOutputs[0]->setBackend(name, device);
-}
-
bool Aidge::Memorize_Op::outputDimsForwarded() const {
// Only check the output dims
bool forwarded = true;
@@ -60,10 +120,14 @@ bool Aidge::Memorize_Op::outputDimsForwarded() const {
return forwarded;
}
-void Aidge::Memorize_Op::updateConsummerProducer() {
- Operator::updateConsummerProducer();
- ++this->template getAttr<MemorizeAttr::ScheduleStep>();
- this->template getAttr<MemorizeAttr::ForwardStep>() = 0;
+void Aidge::Memorize_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+ if (Registrar<Memorize_Op>::exists({name})){
+ SET_IMPL_MACRO(Memorize_Op, *this, name);
+ }
+ else {
+ mImpl = std::make_shared<Memorize_OpImpl>(*this);
+ }
+ mOutputs[0]->setBackend(name, device);
}
void Aidge::Memorize_Op::forward() {
diff --git a/src/operator/Move.cpp b/src/operator/Move.cpp
index d8776e32fca909663bafe3fae3ebf9f5616c69c9..0f635ea655676e488343bb55d9de6423a997af7d 100644
--- a/src/operator/Move.cpp
+++ b/src/operator/Move.cpp
@@ -12,15 +12,19 @@
#include "aidge/backend/OperatorImpl.hpp"
#include "aidge/operator/Move.hpp"
+void Aidge::Move_OpImpl::forward() {
+ const Move_Op& op = dynamic_cast<const Move_Op&>(mOp);
+ op.getOutput(0)->copyFrom(*(op.getInput(0)));
+}
+
const std::string Aidge::Move_Op::Type = "Move";
-void Aidge::Move_Op::forward() {
- if (mImpl) {
- mImpl->forward();
+void Aidge::Move_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+ if (Registrar<Move_Op>::exists({mInputs[0]->getImpl()->backend(), name})) {
+ SET_IMPL_MACRO(Move_Op, *this, {mInputs[0]->getImpl()->backend(), name});
}
else {
- mOutputs[0]->copyFrom(*(mInputs[0]));
+ mImpl = std::make_shared<Move_OpImpl>(*this);
}
-
- runHooks();
+ mOutputs[0]->setBackend(name, device);
}
diff --git a/src/operator/Pop.cpp b/src/operator/Pop.cpp
index 9e7b36025055399ecf803995d9e87e645debbfe4..6f09d402af8c6416f3f0b444cd48328b4f5a2031 100644
--- a/src/operator/Pop.cpp
+++ b/src/operator/Pop.cpp
@@ -20,6 +20,20 @@
#include "aidge/utils/StaticAttributes.hpp"
#include "aidge/utils/Types.h"
+Aidge::Elts_t Aidge::Pop_OpImpl::getNbRequiredData(const Aidge::IOIndex_t inputIdx) const {
+ assert(mOp.getRawInput(inputIdx) && "requires valid input");
+
+ const Pop_Op& op = dynamic_cast<const Pop_Op&>(mOp);
+ return Elts_t::DataElts(op.getInput(inputIdx)->size()
+ / op.getInput(inputIdx)->dims()[0]);
+}
+
+void Aidge::Pop_OpImpl::forward() {
+ const Pop_Op& op = dynamic_cast<const Pop_Op&>(mOp);
+ assert(op.getInput(0) && "missing input #0");
+ const unsigned int forwardStep = op.template getAttr<PopAttr::ForwardStep>();
+ *op.getOutput(0) = op.getInput(0)->extract({forwardStep});
+}
const std::string Aidge::Pop_Op::Type = "Pop";
@@ -43,12 +57,17 @@ void Aidge::Pop_Op::updateConsummerProducer() {
this->template getAttr<PopAttr::ForwardStep>() = 0;
}
+void Aidge::Pop_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
+ if (Registrar<Pop_Op>::exists({name})){
+ SET_IMPL_MACRO(Pop_Op, *this, name);
+ }
+ else {
+ mImpl = std::make_shared<Pop_OpImpl>(*this);
+ }
+ mOutputs[0]->setBackend(name, device);
+}
+
void Aidge::Pop_Op::forward() {
Operator::forward();
++this->template getAttr<PopAttr::ForwardStep>();
}
-
-void Aidge::Pop_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
- SET_IMPL_MACRO(Pop_Op, *this, name);
- mOutputs[0]->setBackend(name, device);
-}
diff --git a/src/operator/Producer.cpp b/src/operator/Producer.cpp
index 38bbbc14846f8f4356602b1d3a66058439bb37d0..f384c10138500f454720395e7387c331d67440b6 100644
--- a/src/operator/Producer.cpp
+++ b/src/operator/Producer.cpp
@@ -32,28 +32,12 @@ Aidge::Producer_Op::Producer_Op(const std::shared_ptr<Aidge::Tensor> tensor, boo
Attributes_(attr<ProdAttr::Constant>(constant))
{
mOutputs[0] = tensor; // copy the pointer of the Tensor
-#ifdef PYBIND
- if(Py_IsInitialized()) {
- auto obj = py::cast(&(*this));
- setImpl((mOutputs[0]->hasImpl()) ?
- (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()}) ?
- Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this) :
- std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend())) :
- std::make_shared<OperatorImpl>(*this, ""));
- } else {
- setImpl((mOutputs[0]->hasImpl()) ?
- (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()}) ?
- Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this) :
- std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend())) :
- std::make_shared<OperatorImpl>(*this, ""));
+ if (mOutputs[0]->getImpl() && Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()})){
+ SET_IMPL_MACRO(Producer_Op, *this, mOutputs[0]->getImpl()->backend());
+ }
+ else {
+ mImpl = std::make_shared<OperatorImpl>(*this);
}
-#else
- setImpl((mOutputs[0]->hasImpl()) ?
- (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()}) ?
- Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this) :
- std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend())) :
- std::make_shared<OperatorImpl>(*this, ""));
-#endif
}
/**
@@ -66,57 +50,31 @@ Aidge::Producer_Op::Producer_Op(const Aidge::Producer_Op& op)
Attributes_(op)
{
mOutputs[0] = std::make_shared<Tensor>(*(op.getOutput(0)));
-#ifdef PYBIND
- if(Py_IsInitialized()) {
- auto obj = py::cast(&(*this));
- setImpl((mOutputs[0]->hasImpl()) ?
- (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()}) ?
- Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this) :
- std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend())) :
- std::make_shared<OperatorImpl>(*this, ""));
- } else {
- setImpl((mOutputs[0]->hasImpl()) ?
- (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()}) ?
- Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this) :
- std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend())) :
- std::make_shared<OperatorImpl>(*this, ""));
- }
-#else
- setImpl((mOutputs[0]->hasImpl()) ?
- (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()}) ?
- Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this) :
- std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend())) :
- std::make_shared<OperatorImpl>(*this, ""));
-#endif
- // if (mOutputs[0]->hasImpl()) {
- // if (Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()})){
- // setImpl(Registrar<Producer_Op>::create(mOutputs[0]->getImpl()->backend())(*this));
- // }
- // else {
- // mImpl = std::make_shared<OperatorImpl>(*this, mOutputs[0]->getImpl()->backend());
- // }
-
- // } else {
- // mImpl = nullptr;
- // }
+ if (mOutputs[0]->getImpl() && Registrar<Producer_Op>::exists({mOutputs[0]->getImpl()->backend()})){
+ SET_IMPL_MACRO(Producer_Op, *this, mOutputs[0]->getImpl()->backend());
+ }
+ else {
+ mImpl = std::make_shared<OperatorImpl>(*this);
+ }
}
void Aidge::Producer_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
-#ifdef PYBIND
- if(Py_IsInitialized()) {
- auto obj = py::cast(&(*this));
- setImpl((Registrar<Producer_Op>::exists({name})) ?
- Registrar<Producer_Op>::create(name)(*this) :
- std::make_shared<OperatorImpl>(*this, ""));
- } else {
- setImpl((Registrar<Producer_Op>::exists({name})) ?
- Registrar<Producer_Op>::create(name)(*this) :
- std::make_shared<OperatorImpl>(*this, ""));
- }
-#else
- setImpl((Registrar<Producer_Op>::exists({name})) ?
- Registrar<Producer_Op>::create(name)(*this) :
- std::make_shared<OperatorImpl>(*this, ""));
-#endif
+ if (Registrar<Producer_Op>::exists({name})){
+ SET_IMPL_MACRO(Producer_Op, *this, name);
+ }
+ else {
+ mImpl = std::make_shared<OperatorImpl>(*this);
+ }
mOutputs[0]->setBackend(name, device);
-}
\ No newline at end of file
+}
+
+void Aidge::Producer_Op::forward() {
+ if (!backend().empty()) {
+ mImpl->forward();
+ }
+ else {
+ fmt::print("Basic Producer forward() function.\n");
+ }
+
+ runHooks();
+}
diff --git a/src/operator/Reshape.cpp b/src/operator/Reshape.cpp
index 4ae7b121799775c8e22956c1b5b73c0aa59dbcb6..8431971dadf896add25eb04d1e66e25f0ad3e953 100644
--- a/src/operator/Reshape.cpp
+++ b/src/operator/Reshape.cpp
@@ -23,6 +23,11 @@
#include "aidge/utils/Registrar.hpp"
#include "aidge/utils/Types.h"
+void Aidge::Reshape_OpImpl::forward() {
+ const Reshape_Op& op = dynamic_cast<const Reshape_Op&>(mOp);
+ op.getOutput(0)->getImpl()->copy(op.getInput(0)->getImpl()->rawPtr(), op.getInput(0)->size());
+}
+
const std::string Aidge::Reshape_Op::Type = "Reshape";
bool Aidge::Reshape_Op::computeOutputDims(bool /*allowDataDependency*/) {
@@ -65,6 +70,11 @@ bool Aidge::Reshape_Op::computeOutputDims(bool /*allowDataDependency*/) {
}
void Aidge::Reshape_Op::setBackend(const std::string& name, Aidge::DeviceIdx_t device) {
- SET_IMPL_MACRO(Reshape_Op, *this, name);
+ if (Registrar<Reshape_Op>::exists({name})){
+ SET_IMPL_MACRO(Reshape_Op, *this, name);
+ }
+ else {
+ mImpl = std::make_shared<Reshape_OpImpl>(*this);
+ }
mOutputs[0]->setBackend(name, device);
-}
\ No newline at end of file
+}