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https://github.com/zebrajr/pytorch.git
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c8d1ec02be
* Have ScriptModule inherit from Module This is accomplished by created replacement _parameters, _buffers, and _modules which implement the OrderedDict APIs but which actually get/set their members inside script::Module * Merge TracedModule with ScriptModule * Move logic of attribute handling into Python bindings rather than make script::Module handle it. This was redundant with nn.Module, which already handles attribute. * Make TracedModule a subclass of ScriptModule * Move handling of attribute kind logic into bindings. * Allow ScriptModule to contain non-script module submodules.
101 lines
3.2 KiB
C++
101 lines
3.2 KiB
C++
#pragma once
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#include <functional>
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#include <memory>
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#include <string>
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#include "torch/csrc/jit/ir.h"
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#include "torch/csrc/jit/script/error_report.h"
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#include "torch/csrc/jit/script/tree_views.h"
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#include "torch/csrc/jit/script/module.h"
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namespace torch {
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namespace jit {
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namespace script {
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// The AST can contain nodes like `self`, `self.b` or `python_fn` that
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// are not first-class values in the graph representation, but instead
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// will be desugared based on how they are used in the AST.
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// SugaredValue is used to temporarily represent these values in a way
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// that separates their behavior from the AST -> IR converter itself.
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// This allows us to keep dependencies on python minimal.
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struct SugaredValue : public std::enable_shared_from_this<SugaredValue> {
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// what is this node? for error reporting (e.g. Module, python function)
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virtual std::string kind() const = 0;
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// what can we do with this thing?
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// use it as a value e.g. `this + 4`
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virtual Value * asValue(SourceRange loc, Method & m) {
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throw ErrorReport(loc) << kind() << " cannot be used as a value";
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}
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// select an attribute on it, e.g. `this.field`
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virtual std::shared_ptr<SugaredValue> attr(SourceRange loc, Method & m, const std::string& field) {
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throw ErrorReport(loc) << "attribute lookup is not defined on " << kind();
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}
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// call it like a function, e.g. `outputs = this(inputs)`
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virtual std::vector<Value*> call(
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SourceRange loc,
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Method & m,
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at::ArrayRef<Value*> inputs,
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List<Attribute> attributes,
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size_t n_outputs) {
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throw ErrorReport(loc) << "cannot call a " << kind();
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}
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virtual ~SugaredValue() {}
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};
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// most things in the environment are just simple value types
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// and not special python syntax sugar types
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struct SimpleValue : public SugaredValue {
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SimpleValue(Value * value)
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: value(value) {}
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virtual std::string kind() const override {
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return "value";
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}
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virtual Value * asValue(SourceRange range, Method & m) override {
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return value;
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}
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virtual std::shared_ptr<SugaredValue> attr(SourceRange loc, Method & m, const std::string& field) override;
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private:
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Value* value;
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};
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struct BuiltinFunction : public SugaredValue {
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BuiltinFunction(const std::string& name, Value* value=nullptr)
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: name(name), value(value) {}
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std::string name;
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Value* value;
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virtual std::string kind() const override {
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return "builtin";
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}
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virtual std::vector<Value*> call(
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SourceRange loc,
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Method & m,
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at::ArrayRef<Value*> inputs_,
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List<Attribute> attributes,
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size_t n_outputs) override;
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};
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using Resolver = std::function<std::shared_ptr<SugaredValue>(const std::string& name)>;
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void defineMethodsInModule(
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Module & m,
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const std::vector<Def>& definitions,
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const Resolver& resolver, /* determines how we handle free variables*/
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std::shared_ptr<SugaredValue> self /* if non-null, the first argument to each def, is bound to this value */
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);
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// same as above but parse the definitions from source
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void defineMethodsInModule(Module & m, const std::string& source, const Resolver& resolver, std::shared_ptr<SugaredValue> self);
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std::shared_ptr<Graph> compileFunction(Def def, const Resolver& resolver);
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} // namespace script
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} // namespace jit
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} // namespace torch
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