Remove internal enforce for IO binding inputs (#18266)
### Description
This PR removes an internal `ORT_ENFORCE` when binding `torch.tensor`
inputs using IO binding for end-to-end scripts.
### Motivation and Context
In merged exports of PyTorch models to ONNX, each past key and past
value in the past KV cache has an input shape of `(batch_size,
num_heads, past_sequence_length, head_size)`. In the first pass through
the model to process the prompt, `past_sequence_length = 0`. Therefore,
each of these inputs is of shape `(batch_size, num_heads, 0,
head_size)`. In subsequent passes, `past_sequence_length > 0`.
When binding a `torch.tensor` of shape `(batch_size, num_heads, 0,
head_size)` with `io_binding.bind_input`, the tensor's `data_ptr()` must
be passed. For a `torch.tensor` of this shape, its `data_ptr()` returns
0. Because it returns 0, the existing `ORT_ENFORCE` is therefore false
and an error is raised. By removing the internal `ORT_ENFORCE`, no error
is raised and the model runs successfully.
LLaMA-2 Example:
Input Name | Input Size | Device | Device ID | Torch Dtype | data_ptr()
------------- | ----------- | ------- | ----------- | ------------- |
-----------
input_ids | torch.Size([1, 11]) | cuda | 7 | torch.int64 |
140639561842688
attention_mask | torch.Size([1, 11]) | cuda | 7 | torch.int64 |
140639561843200
position_ids | torch.Size([1, 11]) | cuda | 7 | torch.int64 |
140639561844224
past_key_values.0.key | torch.Size([1, 32, 0, 128]) | cuda | 7 |
torch.float32 | 0
past_key_values.0.value | torch.Size([1, 32, 0, 128]) | cuda | 7 |
torch.float32 | 0
... | ... | ... | ... | ... | ...
