Fixed API compatibility on maxpool2d (with indices, empty args) functions

[brucekimrokcmu]

The purpose of this PR is to address several test cases for max_pool2d and max_pool2d_with_indices that require accepting different combinations of a list versus an int for parameters such as kernel_size, stride, pooling, and dilation.

1 : MaxPool2dWithIndicesFullSizeKernelModule_basic
max_pool2d_with_indices(): incompatible function arguments. The following argument types are supported:
    1. (self: pi.mlir._mlir_libs._pi_mlir.Tensor, kernel_size: pi.mlir._mlir_libs._pi_mlir.AnyTorchListOfTorchIntValue, stride: pi.mlir._mlir_libs._pi_mlir.AnyTorchListOfTorchIntValue = [], padding: pi.mlir._mlir_libs._pi_mlir.AnyTorchListOfTorchIntValue = [0, 0], dilation: pi.mlir._mlir_libs._pi_mlir.AnyTorchListOfTorchIntValue = [1, 1], ceil_mode: pi.mlir._mlir_libs._pi_mlir.Torch_BoolValue = False, *, loc: mlir.ir.Location = None, ip: mlir.ir.InsertionPoint = None) -> Tuple[pi.mlir._mlir_libs._pi_mlir.Tensor, pi.mlir._mlir_libs._pi_mlir.Tensor]

Invoked with: Tensor(<block argument> of type '!torch.tensor' at index: 0); kwargs: kernel_size=[Torch_IntValue(%0 = "torch.constant.int"() {value = 4 : i64} : () -> !torch.int), Torch_IntValue(%1 = "torch.constant.int"() {value = 4 : i64} : () -> !torch.int)], stride=1, padding=0, dilation=1 

Since there are a lot of combinations (16 for 4 parameters) we generate the appropriate bindings via recursive template instantiation. Essentially, a recursive template function generates 16 different combinations ofPyAnyTorchListOfTorchIntValue and PyTorch_IntValue for four arguments (kernel_size, stride, padding, dilation) to be accepted for max_pool2d_with_indices_ Ops.

In addition, by setting default argument type and values for the arguments to the Op, we allowed max_pool2d and max_pool2d_with_indices to omit some of the kwargs in use.

Note that to avoid segfault, max_pool2d_with_indices() redefines default loc and ip before all casted arguments are passed into max_pool2d_with_indices_() ops function.

This passes an additional 6 tests.

[123epsilon]

Note: the default template types are in place to allow for default argument support when certain args are omitted

Also, the generate bindings struct implemented here can be reused for other function signatures with the same behavior (i.e. either supporting list or int for a subset of arguments)

[123epsilon]

Looks good, only thing is that we should probably add some unit tests for this - particularly in order to test that default arguments work.