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f62bc01dfe
Summary: I got some tensor->variable conversion exceptions from `torch/csrc/autograd/variable.h`, which used the `TORCH_ASSERTM` macros instead of `AT_CHECK`, so they didn't have backtraces. This was such a substantial loss for debugability that I decided to update the whole codebase to use the backtrace-enabled ATen macros instead of `TORCH_ASSERT` and `JIT_ASSERT`, the latter having been an alias of the former. ezyang apaszke zdevito Pull Request resolved: https://github.com/pytorch/pytorch/pull/9575 Differential Revision: D8924566 Pulled By: goldsborough fbshipit-source-id: 7a4013b13eec9dbf024cef94cf49fca72f61d441
66 lines
2.1 KiB
C++
66 lines
2.1 KiB
C++
#include "torch/csrc/jit/assertions.h"
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#include "torch/csrc/jit/script/module.h"
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#include "torch/csrc/jit/script/compiler.h"
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#include "torch/csrc/jit/script/error_report.h"
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#include "torch/csrc/jit/operator.h"
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namespace torch { namespace jit { namespace script {
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struct RecursiveMethodCallError : public std::exception {};
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void placeholderCreator(Method&) {
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throw RecursiveMethodCallError();
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}
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static FunctionSchema defaultSchemaFor(Method& method) {
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std::vector<Argument> args;
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std::vector<Argument> returns;
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Graph& g = *method.graph();
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size_t num_inputs = method.num_inputs();
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for(size_t i = 0; i < num_inputs; ++i) {
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const Value* v = g.inputs().at(i);
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std::string name = v->hasUniqueName() ? v->uniqueName() : ("argument_" + std::to_string(i));
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args.push_back({std::move(name), DynamicType::get()});
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}
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for(size_t i = 0; i < g.outputs().size(); ++i) {
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returns.push_back({"", DynamicType::get()});
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}
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return { method.name(), std::move(args), std::move(returns) };
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}
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std::vector<Value*> Method::emit_call_to(SourceRange loc, Method & callee, ArrayRef<NamedValue> args, ArrayRef<NamedValue> kwargs) {
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JIT_ASSERT(!executor);
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try {
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callee.ensure_defined();
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} catch (RecursiveMethodCallError&) {
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throw ErrorReport(loc) << " method '" << callee.name()
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<< "' is called recursively involving this call site. Recursive calls are not supported";
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}
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auto fn = callee.graph();
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std::stringstream failure_messages;
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auto all_inputs = tryMatchSchema(
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callee.schema ? *callee.schema : defaultSchemaFor(callee),
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loc, *graph(), args, kwargs, failure_messages);
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if(!all_inputs)
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throw ErrorReport(loc) << failure_messages.str();
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// parameters to callee method (which become parameters to _this_ method
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// if they were not already)
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for(at::Tensor* member : callee.member_inputs) {
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all_inputs->push_back(get_or_add_parameter(member));
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}
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return inlineCallTo(*graph(), *callee.graph(), *all_inputs);
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}
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void Method::ensure_defined() {
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if(method_creator) {
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auto creator = method_creator;
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method_creator = placeholderCreator;
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creator(*this);
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method_creator = nullptr;
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}
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}
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}}}
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