[GitHub] [tvm] liaojianjin commented on issue #13759: [Bug] a bug about onnx aten::index_put.

["liaojianjin (via GitHub)" <gi...@apache.org>]

liaojianjin commented on issue #13759:
URL: https://github.com/apache/tvm/issues/13759#issuecomment-1443680558

   @honghuichao Thanks for your report.
   I can't reproduce this error in my environment (pytorch == 1.13.1, onnx == 1.12.0, tvm commit is d8833bdbb), the converted IR is shown at the end.
   On the other hand, there seems to be no dynamic shape tensor in the demo.
   
   ```(def @main(%dummy_batch_src_corr_points: Tensor[(?, ?), float32] /* ty=Tensor[(?, ?), float32] span=/Shape_3.dummy_batch_src_corr_points:0:0 */, %dummy_indices0: Tensor[(?, ?), int64] /* ty=Tensor[(?, ?), int64] span=/Add.dummy_indices0:0:0 */, %dummy_indices1: Tensor[(?, ?), int64] /* ty=Tensor[(?, ?), int64] span=/Add.dummy_indices1:0:0 */, %dummy_src_corr_points: Tensor[(?, ?), float32] /* ty=Tensor[(?, ?), float32] span=/Reshape.dummy_src_corr_points:0:0 */) -> Tensor[(?, ?), float32] {
     %0 = add(%dummy_indices0, %dummy_indices1) /* ty=Tensor[(?, ?), int64] span=/Add:0:0 */;
     %1 = shape_of(%0, dtype="int64") /* ty=Tensor[(2), int64] span=/Shape:0:0 */;
     %2 = equal(%1, meta[relay.Constant][0] /* ty=Tensor[(2), int64] span=/Mul:0:0 */) /* ty=Tensor[(2), bool] span=/Equal:0:0 */;
     %3 = shape_of(%dummy_indices0, dtype="int64") /* ty=Tensor[(2), int64] span=/Expand:0:0 */;
     %4 = where(%2, meta[relay.Constant][1] /* ty=Tensor[(2), int64] span=/ConstantOfShape:0:0 */, %1) /* ty=Tensor[(2), int64] span=/Where:0:0 */;
     %5 = maximum(%3, %4) /* ty=Tensor[(2), int64] span=/Expand:0:0 */;
     %6 = dyn.broadcast_to(%dummy_indices0, %5, shape=None) /* ty=Tensor[(?, ?), int64] span=/Expand:0:0 */;
     %7 = equal(%1, meta[relay.Constant][2] /* ty=Tensor[(2), int64] span=/Mul_1:0:0 */) /* ty=Tensor[(2), bool] span=/Equal_1:0:0 */;
     %8 = shape_of(%dummy_indices1, dtype="int64") /* ty=Tensor[(2), int64] span=/Expand_1:0:0 */;
     %9 = where(%7, meta[relay.Constant][3] /* ty=Tensor[(2), int64] span=/ConstantOfShape_1:0:0 */, %1) /* ty=Tensor[(2), int64] span=/Where_1:0:0 */;
     %10 = maximum(%8, %9) /* ty=Tensor[(2), int64] span=/Expand_1:0:0 */;
     %11 = dyn.broadcast_to(%dummy_indices1, %10, shape=None) /* ty=Tensor[(?, ?), int64] span=/Expand_1:0:0 */;
     %12 = expand_dims(%6, axis=-1) /* ty=Tensor[(?, ?, 1), int64] span=/Unsqueeze:0:0 */;
     %13 = expand_dims(%11, axis=-1) /* ty=Tensor[(?, ?, 1), int64] span=/Unsqueeze_1:0:0 */;
     %14 = (%12, %13) /* ty=(Tensor[(?, ?, 1), int64], Tensor[(?, ?, 1), int64]) span=/Concat:0:0 */;
     %15 = concatenate(%14, axis=-1) /* ty=Tensor[(?, ?, 2), int64] span=/Concat:0:0 */;
     %16 = shape_of(%dummy_batch_src_corr_points, dtype="int64") /* ty=Tensor[(2), int64] span=/Shape_3:0:0 */;
     %17 = strided_slice(%16, begin=[2i64], end=[9223372036854775807i64], strides=[1i64], axes=[0i64]) /* ty=Tensor[(0), int64] span=/Slice:0:0 */;
     %18 = (%1, %17) /* ty=(Tensor[(2), int64], Tensor[(0), int64]) span=/Concat_1:0:0 */;
     %19 = concatenate(%18) /* ty=Tensor[(2), int64] span=/Concat_1:0:0 */;
     %20 = transpose(%15, axes=[2, 0, 1]) /* ty=Tensor[(2, ?, ?), int64] span=/ScatterND:0:0 */;
     %21 = dyn.reshape(%dummy_src_corr_points, %19, newshape=[]) /* ty=Tensor[(?, ?), float32] span=/Reshape:0:0 */;
     scatter_nd(%dummy_batch_src_corr_points, %20, %21, mode="update") /* ty=Tensor[(?, ?), float32] span=/ScatterND:0:0 */
   }
   
   , {})
   ```
   


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