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SET(MKL_VERSION)
ENDIF (MKL_LIBRARIES)

set(MKL_FIND_REQUIRED Off)

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if sum(arg['simple_type'] == 'TensorList' for arg in arguments) > 1:
return False
# omit einsum
if any(arg['simple_type'] == 'std::string' for arg in arguments):

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real_inputs = count()
if has_tensorlist:
kw_assignments.append('size_t _Arg_idx = 0;')

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# the first argument, that is then followed by a number of positional args.
if arg['simple_type'] == 'TensorList':
arguments.append('peekSlice(stack, 0, varargs_length - {}, varargs_length)'.format(static_inputs))
kw_assignments.append('size_t _Arg_idx_{} = _Arg_idx;'.format(i))

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I think a tweak to this approach would make it more robust:

Let's say you have

a b c [d e f g] h i # [] is the list

We extract a, b, c, with peek(0, N) where N is the number of arguments. We can adjust N before and after the varargs list is encountered to make peek(i, N) still always extract the ith static argument.

Before tensor_list, set N to (num_static_args - 1 + num_args_in_list)

a b c [d e f g] h i # [] is the list
~~~~~~~~~~~~ <- N

When we handle the varargs_list, then adjust N to be
num_static_args

a b c [d e f g] h i # [] is the list
              ~~~~~~ <- N

if has_tensorlist:
kw_assignments.append('size_t _Arg_idx = 0;')
for i, arg in enumerate(decl['arguments']):
# XXX: we currently support only TensorList ops that have a TensorList as

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elif is_tensor_arg(arg):
arguments.append('std::move(peek(stack, {}, {}))'.format(next(real_inputs), static_inputs))
if has_tensorlist:
kw_assignments.append('size_t _Arg_idx_{} = _Arg_idx++;'.format(i))

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@jamesr66a
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@jamesr66a jamesr66a closed this Jun 5, 2018
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3 participants