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702a7f3864
* Improve Function interface * Undo tracer changes * Fix bug in VariableType.set_history * Rename function_counter and sequence_number to sequence_nr * Clarify Function documentation * Replace swap_next_edges with next_edges() getter * Bring back set_gradient_edge * Simplify special.cpp * add_gradient_edge -> create_gradient_edge * Add mutable getters for pre/post hooks * Use make_variable with Edge * Remove remove_gradient_edge in favor of detach_ * Fix documentation and remove create_gradient_edge friend method * Canonicalize some includes
59 lines
1.7 KiB
C++
59 lines
1.7 KiB
C++
#include "torch/csrc/autograd/functions/utils.h"
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#include "torch/csrc/autograd/edge.h"
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#include "torch/csrc/autograd/function.h"
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#include "torch/csrc/autograd/variable.h"
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#include <sstream>
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#include <vector>
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namespace torch { namespace autograd {
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variable_list wrap_outputs(const variable_list& inputs, tensor_list&& outputs,
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function_constructor ctr) {
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variable_list result;
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result.reserve(outputs.size());
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if (!any_variable_requires_grad(inputs)) {
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for (auto& output : outputs) {
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if (output.defined()) {
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result.push_back(make_variable(output, /*requires_grad=*/false));
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} else {
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result.emplace_back();
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}
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}
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} else {
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auto grad_fn = ctr(collect_next_edges(inputs));
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for (auto& output : outputs) {
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if (output.defined()) {
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auto variable = autograd::make_variable(output, /*requires_grad=*/false);
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autograd::create_gradient_edge(variable, grad_fn);
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result.push_back(std::move(variable));
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} else {
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grad_fn->bump_inputs();
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result.emplace_back();
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}
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}
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}
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return result;
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}
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void check_input_variables(const char* name, const variable_list& inputs, int args, int required_args) {
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if (required_args == -1) {
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required_args = args;
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}
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if (inputs.size() != (size_t)args) {
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std::stringstream ss;
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ss << name << ": expected " << args << " arguments (got " << inputs.size();
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ss << ")";
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throw std::runtime_error(ss.str());
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}
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for (int i = 0; i < required_args; ++i) {
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if (!inputs[i].defined()) {
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std::stringstream ss;
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ss << name << ": expected Variable at argument " << i << " (got None)";
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throw std::runtime_error(ss.str());
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}
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}
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}
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}} // namespace torch::autograd
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