[llvm] [mlir] [MLIR][Python] Add shard Dialect Python Bindings (PR #162578)

[Frank Schlimbach via llvm-commits]

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@@ -0,0 +1,67 @@
+# RUN: %PYTHON %s | FileCheck %s
+
+from mlir.ir import *
+from mlir.dialects import shard
+from mlir.dialects import func
+
+
+def constructAndPrintInModule(f):
+    print("\nTEST:", f.__name__)
+    with Context(), Location.unknown():
+        module = Module.create()
+        with InsertionPoint(module.body):
+            f()
+        print(module)
+    return f
+
+
+# CHECK-LABEL: TEST: testShardGrid
+ at constructAndPrintInModule
+def testShardGrid():
+    # Test creating shard grids with different shapes
+    grid2d = shard.GridOp("grid_2d", [2, 2])
+    grid1d = shard.GridOp("grid_1d", [4])
+    grid_dynamic = shard.GridOp("grid_dynamic", [2, -1])  # -1 for dynamic dimension
+
+    # CHECK: "shard.grid"() <{shape = array<i64: 2, 2>, sym_name = "grid_2d"}> : () -> ()
+    # CHECK: "shard.grid"() <{shape = array<i64: 4>, sym_name = "grid_1d"}> : () -> ()
+    # CHECK: "shard.grid"() <{shape = array<i64: 2, -1>, sym_name = "grid_dynamic"}> : () -> ()
+
+
+# CHECK-LABEL: TEST: testCollectiveOperations
+ at constructAndPrintInModule
+def testCollectiveOperations():
+    # Create grid and types
+    grid = shard.GridOp("grid_2x2", [2, 2])
+    i32 = IntegerType.get_signless(32)
+    input_type = RankedTensorType.get([4, 2], i32)
+    gather_result_type = RankedTensorType.get([4, 4], i32)
+
+    # Create a function to hold the operations
+    func_type = FunctionType.get([input_type], [input_type])
+    test_func = func.FuncOp("test_collectives", func_type)
+
+    with InsertionPoint(test_func.add_entry_block()):
+        arg = test_func.entry_block.arguments[0]
+
+        gather_op = shard.AllGatherOp(
+            input=arg,
+            grid=FlatSymbolRefAttr.get("grid_2x2"),
+            grid_axes=ArrayAttr.get([IntegerAttr.get(i32, 1)]),
----------------
fschlimb wrote:

grid_axes should be `I16`s: [see here](https://github.com/llvm/llvm-project/blob/8d9aecce064776a9a890f3c898165f99e8eaa13e/mlir/include/mlir/Dialect/Shard/IR/ShardBase.td#L40)

https://github.com/llvm/llvm-project/pull/162578