mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
aebf3b47ae
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9939 Pull Request resolved: https://github.com/facebookresearch/weakly-supervised-action-detection/pull/13 Pull Request resolved: https://github.com/pytorch/translate/pull/166 Pull Request resolved: https://github.com/pytorch/pytorch/pull/9125 Closes https://github.com/pytorch/pytorch/pull/9125 Use inheritance for polymorphism, and remove template parameter This is to change the templating in call sites, the core implementations will change later Before Caffe2 Tensor class was compile-time fixed to bind to a particular device/context. With this change, we're making it a runtime property (stored inside the tensor), but preserve the same semantics. For example, one has to specify device type in order to create a Tensor - there are no uninitialized tensors. More specifically the changes are: 1. We added an extra argument *DeviceType* to most of the constructors of the tensor, e.g. (Tensor(DeviceType type)), 2. Semantics of constructor Tensor(const Tensor<SrcContext>& src, ContextForCopy* context); is changed, in this constructor, the second context is passed in to enable us to call the templated Copy function, it could be in a different context as source and target previously, now we'll enforce that the context should have same device type as src, if it is provided. 3. To preserve 'get-or-construct' semantics of Blob, we added specialized getter Blob::GetMutableTensor that verifies both that Blob contains a Tensor and that it's of a correct type 4. Specifically, Tensor type is not default-constructible any more (as we don't have unknown device tensors) and thus some of the code handling STL containers needs to change Note: Some changes are postponed just to keep this diff a bit smaller. Please see `TODO`s. Reviewed By: ezyang, houseroad Differential Revision: D9024330 fbshipit-source-id: e0b8295d2dc6ebe2963383ded5af799ad17164ba
27 lines
852 B
C++
27 lines
852 B
C++
#include "caffe2/operators/scale_op.h"
|
|
|
|
namespace caffe2 {
|
|
|
|
REGISTER_CPU_OPERATOR(Scale, ScaleOp<CPUContext>);
|
|
OPERATOR_SCHEMA(Scale)
|
|
.NumInputs(1)
|
|
.NumOutputs(1)
|
|
.AllowInplace({{0, 0}})
|
|
.IdenticalTypeAndShape()
|
|
.SetDoc(R"DOC(
|
|
Scale takes one input data (Tensor) and produces one output data
|
|
(Tensor) whose value is the input data tensor scaled element-wise.
|
|
)DOC")
|
|
.Arg("scale", "(float, default 1.0) the scale to apply.");
|
|
|
|
class GetScaleGradient : public GradientMakerBase {
|
|
using GradientMakerBase::GradientMakerBase;
|
|
vector<OperatorDef> GetGradientDefs() override {
|
|
// CopyArguments is true by default so the "scale" arg is going to be copied
|
|
return SingleGradientDef(
|
|
"Scale", "", vector<string>{GO(0)}, vector<string>{GI(0)});
|
|
}
|
|
};
|
|
REGISTER_GRADIENT(Scale, GetScaleGradient);
|
|
} // namespace caffe2
|