Fix the issue described by #106769

[FFFrog]

Fixes #106769

Align the behavior of the C++ interface with the Python interface

1. Remove some checks in C++ frontend api ,which duplicate with below
   

   pytorch/aten/src/ATen/native/RNN.cpp

   Lines 676 to 690 in 50fa588

   	void check_rnn_cell_forward_input(const Tensor& input, c10::SymInt input_size) {
   	TORCH_CHECK(
   	input.sym_size(1) == input_size,
   	"input has inconsistent input_size: got ", input.sym_size(1), " expected ", input_size);
   	}
   	void check_rnn_cell_forward_hidden(const Tensor& input, const Tensor& hx, c10::SymInt hidden_size, c10::SymInt hidden_label) {
   	TORCH_CHECK(
   	input.sym_size(0) == hx.sym_size(0),
   	"Input batch size ", input.sym_size(0), " doesn't match hidden", hidden_label, " batch size ", hx.sym_size(0));
   	TORCH_CHECK(
   	hx.sym_size(1) == hidden_size,
   	"hidden", hidden_label, " has inconsistent hidden_size: got ", hx.sym_size(1), ", expected ", hidden_size);
   	}

2. Add some checks
3. support 1D
4. Add Test

[pytorch-bot]

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[FFFrog]

@mikaylagawarecki, @albanD, Hi, sorry to bother you guys, please take a look at this, thanks a lot.

[mikaylagawarecki]

Thanks!

[mikaylagawarecki]

One more thing -- could we please add some small tests to ensure that the error messages get raised properly

[FFFrog]

One more thing -- could we please add some small tests to ensure that the error messages get raised properly

Of course, have added some tests and found a tiny bug.

[FFFrog]

@mikaylagawarecki , please have a look at this, thank you.

[mikaylagawarecki]

Thanks!

[mikaylagawarecki]

@pytorchbot merge

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