Add a padding operator. #95
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,96 @@ | ||
| #ifndef _OPERATORS_PADDING_OP_H_ | ||
| #define _OPERATORS_PADDING_OP_H_ | ||
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| #include "smaug/core/backend.h" | ||
| #include "smaug/core/operator.h" | ||
| #include "smaug/core/tensor.h" | ||
| #include "smaug/core/workspace.h" | ||
| #include <google/protobuf/repeated_field.h> | ||
| using namespace google::protobuf; | ||
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| namespace smaug { | ||
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| /** \ingroup Operators | ||
| * \brief Pad a given tensor in any number of dimensions with arbitrary size. | ||
| * | ||
| * This has a software-based implementation. | ||
| * | ||
| * @tparam Backend The Backend that sets Alignment. | ||
| */ | ||
| template <typename Backend> | ||
| class PaddingOp : public Operator { | ||
| public: | ||
| PaddingOp(const std::string& name, Workspace* workspace) | ||
| : Operator(name, OpType::Padding, workspace) { | ||
| inputs.resize(kNumInputs, nullptr); | ||
| outputs.resize(kNumOutputs, nullptr); | ||
| } | ||
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| /** | ||
| * Set the paddingSize of the Tensor along each dimension. | ||
| * The paddingSize is orgainized as <{dim0_begin, dim0_end, dim1_begin, | ||
| * dim1_end, ... > | ||
| */ | ||
| void setPaddingSize(const RepeatedField<google::protobuf::int32>& val) { | ||
| paddingSize.assign(val.begin(), val.end()); | ||
| } | ||
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| void setPaddingSize(std::vector<int> const& val) { paddingSize = val; } | ||
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| const std::vector<int>& getPaddingSize() const { return paddingSize; } | ||
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| void run() override { | ||
| Tensor* input = getInput(kInput); | ||
| Tensor* output = getOutput(kOutput); | ||
| int ndims = input->ndims(); | ||
| const std::vector<int>& inputDims = input->getShape().dims(); | ||
| const std::vector<int>& outputDims = output->getShape().dims(); | ||
| int total_dim = 1; | ||
| for (int i : outputDims) { | ||
| total_dim *= i; | ||
| } | ||
| std::vector<float> vf(total_dim, 0); | ||
| output->fillData(vf.data(), vf.size()); | ||
| std::vector<int> paddingBegin, srcOrigin; | ||
| for (int i = 0; i < ndims; i++) { | ||
| paddingBegin.push_back(paddingSize.at(2 * i)); | ||
| srcOrigin.push_back(0); | ||
| } | ||
| copyTensorRegion(output, input, paddingBegin, srcOrigin, inputDims); | ||
| } | ||
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| // Optional override for testing purposes. | ||
| void createAllTensors() override { | ||
| Tensor* input = getInput(kInput); | ||
| int ndims = input->ndims(); | ||
| std::vector<int> dims = input->getShape().dims(); | ||
| for (int i = 0; i < ndims; i++) { | ||
| dims[i] += (paddingSize[2 * i] + paddingSize[2 * i + 1]); | ||
| } | ||
| TensorShape shape( | ||
| dims, input->getShape().getLayout(), Backend::Alignment); | ||
| Tensor* output = new Tensor(name, shape); | ||
| workspace->addTensor(output); | ||
| outputs.at(kOutput) = output; | ||
| } | ||
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| // Optional but recommended function to verify operator parameters. | ||
| bool validate() override { | ||
| Tensor* input = getInput(kInput); | ||
| int ndims = input->ndims(); | ||
| if (paddingSize.size() != 2 * ndims) { | ||
| return false; | ||
| } | ||
| return Operator::validate(); | ||
| } | ||
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| enum { kInput, kNumInputs }; | ||
| enum { kOutput, kNumOutputs }; | ||
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| private: | ||
| std::vector<int> paddingSize = {}; | ||
| }; | ||
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| } // namespace smaug | ||
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| #endif |
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Code rearrangement generally is confusing :) Moving forward, please move this to a separate PR.
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I definitely appreciate you sorting all the includes in alphabetical order! It's certainly cleaner than before. But yes, refactoring and code cleanups should be done separately if it's not related to the main PR purpose.
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I'll fix this