tree 5816a6f100850d2b6c909cfc0f9f849dd5fd74ea
parent 5add66feec1ef04f8b63f5591ec386d5ceb49e58
author Rob Suderman <suderman@google.com> 1722310169 -0700
committer GitHub <noreply@github.com> 1722310169 -0700
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Revert "Add support from `tensor.from_elements` to `flow` with multiple elements (#18034)" (#18039)

This reverts commit cc60fffa5b832c854bbd30dd31bac3889baa5985.

It may be causing issues:
```
model.mlir:20:11: error: 'stream.async.dispatch' op has invalid Read access range [0 to 288 for 288] of resource %4#0 with size 192; length > resource size
    %16 = torch.operator "onnx.ReduceMean"(%15, %13) : (!torch.vtensor<[?,?,?],f32>, !torch.vtensor<[1],si64>) -> !torch.vtensor<[?,?,1],f32> 
          ^
model.mlir:20:11: note: see current operation: %16 = "stream.async.dispatch"(%8, %7, %6, %15#0, %8, %7, %6, %1, %4, %1, %1, %0) <{entry_points = [@test_group_normalization_example_expanded$async_dispatch_0::@test_group_normalization_example_expanded$async_dispatch_0_generic_3x2x12_f32], operandSegmentSizes = array<i32: 3, 4, 1, 1, 1, 1, 1>, tied_operands = [-1 : index]}> : (index, index, index, !stream.resource<external>, index, index, index, index, index, index, index, index) -> !stream.resource<transient>


Invoked with:
  cd /runner-root/actions-runner/_work/iree/iree/SHARK-TestSuite/iree_tests/onnx/node/generated/test_group_normalization_example_expanded && iree-compile model.mlir --iree-hal-target-backends=cuda --iree-input-demote-f64-to-f32 -o model_gpu_cuda_t4_.vmfb
```