Dynamic size support for flatten (#3005)

Added support for dynamic shapes in `flattenusingints` op in tosa
dialect. Due to this some Argmax tests pass
This PR fixes this issue https://github.com/llvm/torch-mlir/issues/3004

The following tests pass after this PR
 ```
1. "ArgmaxIntModule_basic"
2. "ArgmaxIntModule_multiple_maxs"
3. "ArgmaxModule_basic"
```

lib/Conversion/TorchToTosa/TorchToTosa.cpp

@@ -2485,10 +2485,9 @@ LogicalResult ConvertAtenOp<AtenFlattenUsingIntsOp>::matchAndRewrite(
 
   // Not a ranked tensor type
   auto selfType = adaptor.getSelf().getType().dyn_cast<RankedTensorType>();
-  if (!selfType || !selfType.hasStaticShape())
+  if (!selfType)
-    return rewriter.notifyMatchFailure(
+    return rewriter.notifyMatchFailure(op,
-        op,
+                                       "Only ranked tensor types supported");
-        "Only ranked tensor types with static shapes are currently supported");
 
   int64_t selfRank = selfType.getRank();
 
@@ -2520,8 +2519,11 @@ LogicalResult ConvertAtenOp<AtenFlattenUsingIntsOp>::matchAndRewrite(
     } else {
       if (idx == start_dim)
         newShape.push_back(s.value());
-      else
+      // Only updating when the shapes are static
+      else if (s.value() != kUnknownSize && newShape.back() != kUnknownSize)
         newShape.back() *= s.value();
+      else
+        newShape.back() = kUnknownSize;
     }
   }
 

projects/pt1/e2e_testing/xfail_sets.py

@@ -885,6 +885,9 @@ TOSA_PASS_SET = {
     "ArangeStartNegativeStepFloatModule_basic",
     "ArangeStartOutDtypeModule_basic",
     "ArangeStartStepFloatModule_basic",
+    "ArgmaxIntModule_basic",
+    "ArgmaxIntModule_multiple_maxs",
+    "ArgmaxModule_basic",
     "ArgmaxModule_keepDim",
     "ArgmaxModule_with_dim",
     "AtenComplex64Module_basic",
@@ -1077,6 +1080,7 @@ TOSA_PASS_SET = {
     "EmbeddingModuleI32Static_basic",
     "FlattenRank0Module_basic",
     "FlattenStaticModule_basic",
+    "FlattenDynamicModuleCollapseAll_basic",
     "FullLikeModuleFloat3DStatic_basic",
     "FullLikeModuleInt2DStatic_basic",
     "FullModuleDefaultDtype_basic",
@@ -1292,6 +1296,7 @@ MAKE_FX_TOSA_PASS_SET = (TOSA_PASS_SET | {
 }) - {
 ### Test failing in make_fx_tosa but not in tosa
 
+    "FlattenDynamicModuleCollapseAll_basic",
     # Dynamic shape, has extra unsupported broadcast ops
     "Matmul_3d",
     "MatmulStaticBroadcast_basic",

projects/pt1/python/torch_mlir_e2e_test/test_suite/basic.py

@@ -391,6 +391,25 @@ class FlattenDynamicModule(torch.nn.Module):
 def FlattenDynamicModule_basic(module, tu: TestUtils):
     module.forward(tu.rand(10, 3, 8, 9, 3, 4))
 
+class FlattenDynamicModuleCollapseAll(torch.nn.Module):
+
+    def __init__(self):
+        super().__init__()
+        self.flat = torch.nn.Flatten(0)
+
+    @export
+    @annotate_args([
+        None,
+        ([-1, -1, -1, 9, 3, -1], torch.float32, True),
+    ])
+    def forward(self, x):
+        return self.flat(x)
+
+
+@register_test_case(module_factory=lambda: FlattenDynamicModuleCollapseAll())
+def FlattenDynamicModuleCollapseAll_basic(module, tu: TestUtils):
+    module.forward(tu.rand(10, 3, 8, 9, 3, 4))
+
 
 # ==============================================================================