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llvm/execution: Use 'evaluate' function params when constructing simulation input #2467

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Aug 17, 2022
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llvm/execution: Use 'evaluate' function params when constructing simulation input #2467

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11 changes: 7 additions & 4 deletions psyneulink/core/llvm/execution.py
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Original file line number Diff line number Diff line change
Expand Up @@ -563,8 +563,11 @@ def cuda_execute(self, inputs):

# Methods used to accelerate "Run"

def _get_run_input_struct(self, inputs, num_input_sets):
input_type = self._bin_run_func.byref_arg_types[3]
def _get_run_input_struct(self, inputs, num_input_sets, arg=3):
# Callers that override input arg, should ensure that _bin_func is not None
bin_f = self._bin_run_func if arg == 3 else self._bin_func

input_type = bin_f.byref_arg_types[arg]
c_input = (input_type * num_input_sets) * len(self._execution_contexts)
if len(self._execution_contexts) == 1:
inputs = [inputs]
Expand Down Expand Up @@ -694,8 +697,8 @@ def _prepare_evaluate(self, inputs, num_input_sets, num_evaluations):
ct_comp_state = self._get_compilation_param('_eval_state', '_get_state_initializer', 1)
ct_comp_data = self._get_compilation_param('_eval_data', '_get_data_initializer', 6)

# Construct input variable
ct_inputs = self._get_run_input_struct(inputs, num_input_sets)
# Construct input variable, the 5th parameter of the evaluate function
ct_inputs = self._get_run_input_struct(inputs, num_input_sets, 5)

# Output ctype
out_ty = bin_func.byref_arg_types[4] * num_evaluations
Expand Down