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Add method converting Tensor to Eigen TensorMap #2805
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| void Compute(const KernelContext& context) const override { | ||
| auto input0 = context.Input(0)->Get<framework::Tensor>(); | ||
| auto input1 = context.Input(1)->Get<framework::Tensor>(); | ||
| auto* output = context.Output(0)->GetMutable<framework::Tensor>(); |
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Maybe output->mutable_data could hide in context.GetOutputTensor<>()
paddle/operators/add_op.h
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| auto input1 = context.Input(1)->Get<framework::Tensor>(); | ||
| auto* output = context.Output(0)->GetMutable<framework::Tensor>(); | ||
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| output->mutable_data<T>(Place()); |
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Only Place as argument is not enough.
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Output's dim have been set in InferShape method. So just pass a Place is enough.
The following code is a little repeated
output->mutable_data<T>(output->dims(), Place());
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Got it and have fix it.
reyoung
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LGTM.
| reinterpret_cast<uintptr_t>(holder_->ptr()) + offset_); | ||
| } | ||
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| template <typename T> |
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Since we always use raw_data in OpKernel. The mutable_data is only used for allocation. Maybe we could change mutable_data to allocation
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