[BUG] Model with element-wise select / torch.where() fails to finalize

[mako443]

Describe the bug If a model contains the QNN ElementWiseSelect operation, equivalent to torch.where(), it converts successfully but the graph fails to finalize on device or in the emulator.

To Reproduce Steps to reproduce the behavior:

• Compile job is here: https://app.aihub.qualcomm.com/jobs/j0pxk1885/

• You can create an equivalent model in Pytorch with

  
  class Where(nn.Module):
  def __init__(self):
      super(Where, self).__init__()
      self.conv1 = nn.Conv2d(3, 3, kernel_size=3, padding=1)
  
  def forward(self, x):
      mask = x > 0.5
      y = x - 1.0
      x = torch.where(mask, x, y)
      x = self.conv1(x)
      return x

x = torch.rand(1, 3, 16, 16) y = Where()(x)

**Expected behavior**
After conversion, the model should run on the emulator and device as expected.

**Stack trace**
Output from `qnn-net-run`:

qnn-net-run pid:21299 WARNING: linker: Warning: unable to normalize "$/data/local/tmp/QNN-2.19" (ignoring) WARNING: linker: Warning: unable to normalize "$/data/local/tmp/QNN-2.19" (ignoring) Graph Finalize failure

**Host configuration:**
 - QAI-Hub-Models version: aihub-2024.03.07.0
 - QAI-Hub client version: 0.9.0

**Additional context**
As a heads-up: The operation also fails to finalize when converting through the `qnn-pytorch-converter` or going creating the model "manually" in C++.

[gustavla]

Thanks for reporting this issue! I have filed an internal bug report for this.