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#ifndef CAFFE2_OPERATORS_ACTIVATION_OPS_MIOPEN_H_
#define CAFFE2_OPERATORS_ACTIVATION_OPS_MIOPEN_H_
#include "caffe2/core/hip/context_gpu.h"
#include "caffe2/core/hip/miopen_wrapper.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/tensor.h"
#include "caffe2/core/types.h"
namespace caffe2 {
class MIOPENActivationOpBase : public Operator<HIPContext> {
public:
USE_OPERATOR_FUNCTIONS(HIPContext);
MIOPENActivationOpBase(const OperatorDef& operator_def, Workspace* ws)
: Operator<HIPContext>(operator_def, ws), miopen_wrapper_(&context_) {
MIOPEN_ENFORCE(miopenCreateTensorDescriptor(&data_desc_));
MIOPEN_ENFORCE(miopenCreateActivationDescriptor(&act_desc_));
}
virtual ~MIOPENActivationOpBase() {
MIOPEN_ENFORCE(miopenDestroyTensorDescriptor(data_desc_));
MIOPEN_ENFORCE(miopenDestroyActivationDescriptor(act_desc_));
}
protected:
MIOPENWrapper miopen_wrapper_;
miopenTensorDescriptor_t data_desc_;
miopenActivationDescriptor_t act_desc_;
vector<int64_t> mio_dims_;
};
template <miopenActivationMode_t kMIOPENActivationMode>
class MIOPENActivationOp final : public MIOPENActivationOpBase {
public:
USE_OPERATOR_FUNCTIONS(HIPContext);
MIOPENActivationOp(const OperatorDef& operator_def, Workspace* ws)
: MIOPENActivationOpBase(operator_def, ws) {
MIOPEN_ENFORCE(miopenSetActivationDescriptor(
act_desc_, kMIOPENActivationMode, 1.0, 1.0, 1.0));
}
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<float, at::Half>>::call(this, Input(0));
}
template <typename T>
bool DoRunWithType() {
const auto& X = Input(0);
auto* Y = Output(0);
Y->ResizeLike(X);
if (X.size() == 0) {
Y->template mutable_data<T>();
return true;
}
// See if we need to reshape.
if (X.sizes() != mio_dims_) {
VLOG(1) << "Setting descriptors.";
mio_dims_ = X.sizes().vec();
int C = 1, H = 1, W = 1;
if (X.ndim() == 4) {
// Normal 4-dimensional tensors for images.
C = X.dim32(1);
H = X.dim32(2);
W = X.dim32(3);
} else {
// If X is not 4-dimensional, we will simply use H = 1 and W = 1
// and wrap everything into C.
C = X.size() / X.dim32(0);
}
MIOPEN_ENFORCE(miopenSet4dTensorDescriptor(
data_desc_, miopenTypeWrapper<T>::type, X.dim32(0), C, H, W));
}
MIOPEN_ENFORCE(miopenActivationForward(
this->miopen_wrapper_.inline_miopen_handle(),
this->act_desc_,
miopenTypeWrapper<T>::kOne(),
this->data_desc_,
X.template data<T>(),
miopenTypeWrapper<T>::kZero(),
this->data_desc_,
Y->template mutable_data<T>()));
return true;
}
};
template <miopenActivationMode_t kMIOPENActivationMode>
class MIOPENActivationGradientOp final : public MIOPENActivationOpBase {
public:
USE_OPERATOR_FUNCTIONS(HIPContext);
MIOPENActivationGradientOp(const OperatorDef& operator_def, Workspace* ws)
: MIOPENActivationOpBase(operator_def, ws) {
MIOPEN_ENFORCE(miopenSetActivationDescriptor(
act_desc_, kMIOPENActivationMode, 1.0, 1.0, 1.0));
}
bool RunOnDevice() override {
return DispatchHelper<TensorTypes<float, at::Half>>::call(this, Input(0));
}
template <typename T>
bool DoRunWithType() {
const auto& Y = Input(0);
const auto& dY = Input(1);
auto* dX = Output(0);
dX->ResizeLike(Y);
if (Y.size() == 0) {
dX->template mutable_data<T>();
return true;
}
// See if we need to reshape.
if (Y.sizes() != mio_dims_) {
VLOG(1) << "Setting descriptors.";
mio_dims_ = Y.sizes().vec();
int C = 1, H = 1, W = 1;
if (Y.ndim() == 4) {
// Normal 4-dimensional tensors for images.
C = Y.dim32(1);
H = Y.dim32(2);
W = Y.dim32(3);
} else {
// If Y is not 4-dimensional, we will simply use H = 1 and W = 1
// and wrap everything into C.
C = Y.size() / Y.dim32(0);
}
MIOPEN_ENFORCE(miopenSet4dTensorDescriptor(
data_desc_, miopenTypeWrapper<T>::type, Y.dim32(0), C, H, W));
}
MIOPEN_ENFORCE(miopenActivationBackward(
this->miopen_wrapper_.inline_miopen_handle(),
this->act_desc_,
miopenTypeWrapper<T>::kOne(),
this->data_desc_,
Y.template data<T>(),
this->data_desc_,
dY.template data<T>(),
this->data_desc_,
Y.template data<T>(),
miopenTypeWrapper<T>::kZero(),
this->data_desc_,
dX->template mutable_data<T>()));
return true;
}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_ACTIVATION_OPS_MIOPEN_H_
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