#ifndef CAFFE2_OPERATORS_DENSE_VECTOR_TO_ID_LIST_OP_H_
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#define CAFFE2_OPERATORS_DENSE_VECTOR_TO_ID_LIST_OP_H_
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#include <set>
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#include <vector>
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#include "caffe2/core/context.h"
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#include "caffe2/core/operator.h"
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namespace caffe2 {
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template <class Context>
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class DenseVectorToIdListOp : public Operator<Context> {
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public:
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USE_OPERATOR_CONTEXT_FUNCTIONS;
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USE_SIMPLE_CTOR_DTOR(DenseVectorToIdListOp)
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template <typename T, typename M>
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bool DoRunWithType() {
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auto& input = Input(0);
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const auto* input_data = input.template data<T>();
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CAFFE_ENFORCE_EQ(input.dim(), 2, "Sample should be 2-D");
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const auto batch_size = input.size(0);
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const auto col_num = input.size(1);
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auto* out_lengths = Output(0, {batch_size}, at::dtype<int32_t>());
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auto* out_lengths_data = out_lengths->template mutable_data<int32_t>();
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auto* out_values = Output(1, {batch_size * col_num}, at::dtype<M>());
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auto* out_values_data = out_values->template mutable_data<M>();
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auto v_pos = 0;
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auto l_pos = 0;
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for (auto i = 0; i < batch_size; i++) {
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auto length = 0;
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for (int j = 0; j < col_num; j++) {
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if ((int)(input_data[i * col_num + j] + 0.5) != 0) {
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out_values_data[v_pos++] = j;
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length++;
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}
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}
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out_lengths_data[l_pos++] = length;
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}
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out_values->Resize(v_pos);
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out_lengths->Resize(l_pos);
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return true;
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}
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bool RunOnDevice() override {
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if (Input(0).template IsType<float>()) {
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return DoRunWithType<float, int>();
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} else {
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CAFFE_THROW(
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"DenseVectorToIdList operator only supports 32-bit float, but",
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" input was of type ",
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Input(0).dtype().name());
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}
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}
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};
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} // namespace caffe2
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#endif // CAFFE2_OPERATORS_DENSE_VECTOR_TO_ID_LIST_OP_H_
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