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24a5a2ef25
Fixes #ISSUE_NUMBER Pull Request resolved: https://github.com/pytorch/pytorch/pull/141644 Approved by: https://github.com/ezyang
74 lines
2.1 KiB
C++
74 lines
2.1 KiB
C++
#include <autograd/grad_mode.h>
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#include <c10/util/irange.h>
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#include <torch/csrc/autograd/functions/utils.h>
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#include <cstddef>
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#include <stdexcept>
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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 <utility>
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namespace torch::autograd {
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variable_list wrap_outputs(
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const variable_list& inputs,
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// NOLINTNEXTLINE(cppcoreguidelines-rvalue-reference-param-not-moved)
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tensor_list&& outputs,
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const 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(
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make_variable(std::move(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 =
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ctr(GradMode::is_enabled() ? collect_next_edges(inputs) : edge_list());
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for (auto& output : outputs) {
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if (output.defined()) {
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auto variable =
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autograd::make_variable(std::move(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->add_input_metadata(Node::undefined_input());
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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(
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const char* name,
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const variable_list& inputs,
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int args,
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int required_args,
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bool allow_undefined) {
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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() != static_cast<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 (const auto i : c10::irange(required_args)) {
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if (!inputs[i].defined() && !allow_undefined) {
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std::stringstream ss;
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ss << name << ": expected Tensor 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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