[WIP] ORT aborts with the linspace implementation when input is empty

[Copilot]

Fix ORT abort with linspace implementation when input is empty

Analysis

• Explore repository structure and understand the issue
• Reproduce the issue: confirmed it's a floating point exception (abort) during division by zero
• Identify the root cause: The issue occurs in the Div operation when dividing by zero with integer types
• Locate relevant source files: onnxruntime/core/providers/cpu/math/element_wise_ops.cc
• Understand the current implementation uses Eigen arithmetic which doesn't check for division by zero

Implementation

• Added #include <type_traits> for compile-time type checking
• Created CheckDivisionByZero<T>() helper function that:
  • Uses if constexpr (std::is_integral_v<T>) to only check integer types
  • Iterates through denominator tensor to detect any zero values
  • Returns proper error status instead of allowing SIGFPE
• Modified Div<T>::Compute() to call validation before performing division
• Added comprehensive test cases for both integer and floating point division by zero
• Verified code compiles successfully
• Validated logic with standalone tests

Changes Summary

• 25 lines added to onnxruntime/core/providers/cpu/math/element_wise_ops.cc
• 44 lines added to onnxruntime/test/providers/cpu/math/element_wise_ops_test.cc
• Total: 69 lines added, 0 deleted (minimal surgical changes)

Root Cause

The linspace implementation creates a model that performs division by zero:

1. Range(0, 1, 1) produces [0]
2. Sub(1, 1) produces 0
3. Div(1, 0) attempts to divide by zero, causing floating point exception instead of proper error message

Solution

For integer types (int32_t, int64_t, etc.), division by zero now returns:
INVALID_ARGUMENT: "Division by zero error in Div operator"

For floating point types (float, double), behavior remains unchanged (produces infinity per IEEE 754).

Testing & Validation

• Standalone validation confirms logic works correctly
• Integer division by zero detected and returns proper error
• Float division by zero allowed (produces infinity as expected)
• Code compiles without errors
• Original reproduction case still fails as expected (fix needs full build to test)

Next steps: Full build and integration testing will validate that the fix resolves the original crashing issue.

Fixes #16998.

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[github-actions]

You can commit the suggested changes from lintrunner.

[github-actions]

Suggested change

	const size_t size = static_cast<size_t>(denominator_tensor.Shape().Size());
	for (size_t i = 0; i < size; ++i) {
	if (data[i] == T{0}) {
	return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT,
	"Division by zero error in Div operator");
	const size_t size = static_cast<size_t>(denominator_tensor.Shape().Size());
	for (size_t i = 0; i < size; ++i) {
	if (data[i] == T{0}) {
	return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT,
	"Division by zero error in Div operator");

[github-actions]

Suggested change

	const auto& input_tensor_1 = context->RequiredInput<Tensor>(1);
	// Check for division by zero (only for integer types)
	ORT_RETURN_IF_ERROR(CheckDivisionByZero<T>(input_tensor_1));
	ProcessBroadcastSpanFuncs funcs{
	const auto& input_tensor_1 = context->RequiredInput<Tensor>(1);
	// Check for division by zero (only for integer types)
	ORT_RETURN_IF_ERROR(CheckDivisionByZero<T>(input_tensor_1));
	ProcessBroadcastSpanFuncs funcs{

[github-actions]

Suggested change

	test.AddInput<int32_t>("B", {1}, {0});
	test.AddOutput<int32_t>("C", {1}, {0}); // Output doesn't matter since we expect failure
	// Should return an error instead of crashing
	test.Run(OpTester::ExpectResult::kExpectFailure,
	"Division by zero error in Div operator");
	test.AddInput<int32_t>("B", {1}, {0});
	test.AddOutput<int32_t>("C", {1}, {0}); // Output doesn't matter since we expect failure
	// Should return an error instead of crashing
	test.Run(OpTester::ExpectResult::kExpectFailure,
	"Division by zero error in Div operator");

[github-actions]

Suggested change

	test.AddInput<int64_t>("B", {1}, {0});
	test.AddOutput<int64_t>("C", {1}, {0}); // Output doesn't matter since we expect failure
	// Should return an error instead of crashing
	test.Run(OpTester::ExpectResult::kExpectFailure,
	"Division by zero error in Div operator");
	test.AddInput<int64_t>("B", {1}, {0});
	test.AddOutput<int64_t>("C", {1}, {0}); // Output doesn't matter since we expect failure
	// Should return an error instead of crashing
	test.Run(OpTester::ExpectResult::kExpectFailure,
	"Division by zero error in Div operator");

[github-actions]

Suggested change

	test.AddOutput<float>("C", {1}, {std::numeric_limits<float>::infinity()});
	// Should succeed and produce infinity
	test.AddOutput<float>("C", {1}, {std::numeric_limits<float>::infinity()});
	// Should succeed and produce infinity

[github-actions]

Suggested change

	test.AddOutput<double>("C", {1}, {std::numeric_limits<double>::infinity()});
	// Should succeed and produce infinity
	test.AddOutput<double>("C", {1}, {std::numeric_limits<double>::infinity()});
	// Should succeed and produce infinity