From 739c3a7b53dc6489065fcd5e9f0a04370c5f9c8f Mon Sep 17 00:00:00 2001
From: Sai Praveen Bangaru <31557731+saipraveenb25@users.noreply.github.com>
Date: Tue, 19 Sep 2023 18:51:24 -0400
Subject: Added `[AutoPyBindCUDA]` for automatic kernel binding + `[PyExport]`
 for exporting type information (#3209)

* Initial: add a DiffTensor impl

* Auto-binding and diff tensor implementations now work

* Refactored diff-tensor implementation + added py-export for struct types

* Cleanup

* Update slang-ir-pytorch-cpp-binding.cpp

* Updated test names

* Update autodiff-data-flow.slang.expected

* Add more versions of load/store & default generic args for DiffTensorView.

* Add diagnostic for default generic arg and more tests

* Add more `[AutoPyBind]` tests
---
 tests/diagnostics/autodiff-data-flow.slang.expected | 3 ---
 1 file changed, 3 deletions(-)

(limited to 'tests/diagnostics/autodiff-data-flow.slang.expected')

diff --git a/tests/diagnostics/autodiff-data-flow.slang.expected b/tests/diagnostics/autodiff-data-flow.slang.expected
index 301f84985..6840bfd3c 100644
--- a/tests/diagnostics/autodiff-data-flow.slang.expected
+++ b/tests/diagnostics/autodiff-data-flow.slang.expected
@@ -3,9 +3,6 @@ standard error = {
 tests/diagnostics/autodiff-data-flow.slang(15): error 41020: derivative cannot be propagated through call to non-forward-differentiable function `nonDiff`, use 'no_diff' to clarify intention.
         val = nonDiff(x * 2.0f);
                      ^
-tests/diagnostics/autodiff-data-flow.slang(22): error 41021: a differentiable function must have at least one differentiable output.
-void g(float x)
-     ^
 tests/diagnostics/autodiff-data-flow.slang(28): error 30510: loops inside a differentiable function need to provide either '[MaxIters(n)]' or '[ForceUnroll]' attribute.
     for (int i = 0; i < 5; i++) // Not ok, we can't infer the loop iterations because the body modifies induction var.
     ^~~
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