def test_linear_dfg():
Component.reset_ids()
cwd = Path(f"{__file__}").parent
base_path = f"{cwd}/test_dfgs"
dfg_name = "linear_dfg.json"
file_path = f"{base_path}/{dfg_name}"
with open(f'{cwd}/config.json') as config_file:
data = json.load(config_file)
new_arch = TablaTemplate(data)
test_sched = Schedule()
test_sched.load_dfg(file_path)
test_sched.schedule_graph(new_arch)
validate_instructions(new_arch)
def test_class():
Component.reset_ids()
base_path = "./test_dfgs"
package_name = "class_dfg"
dfg_name = f"{package_name}.json"
file_path = f"{base_path}/{dfg_name}"
with open('config.json') as config_file:
data = json.load(config_file)
new_arch = TablaTemplate(data)
test_sched = Schedule()
test_sched.load_dfg(file_path)
test_sched.schedule_graph(new_arch)
validate_instructions(new_arch)
generate_pe_instructions(test_sched, new_arch, package_name)
def test_memory_instruction_generator():
Component.reset_ids()
cwd = Path(f"{__file__}").parent
# base_path = f"{cwd}/../benchmarks/dfgs/tabla_generated"
base_path = f"{cwd}/test_dfgs"
# dfg_name = "linear_784.json"
dfg_name = "pm_linear3.json"
file_path = f"{base_path}/{dfg_name}"
with open("config.json") as config_file:
data = json.load(config_file)
new_arch = TablaTemplate(data)
test_sched = Schedule()
test_sched.load_dfg(file_path)
new_arch = test_sched.schedule_graph(new_arch)
data = [
edge for edge in test_sched._dfg_edges
if edge.is_src_edge and edge.dtype == "input"
]
n_axi = 4
n_lanes = 16
pes_per_lane = 4
meminst_gen = MemoryInstructionGenerator(data, n_axi, n_lanes,
pes_per_lane, new_arch)
meminst_gen.gen_inst(base_path)
meminst_gen.gen_binary(base_path)
def test_reco():
Component.reset_ids()
cwd = Path(f"{__file__}").parent
base_path = f"{cwd}/test_dfgs"
package_name = "reco_dfg"
dfg_name = f"{package_name}.json"
file_path = f"{base_path}/{dfg_name}"
with open(f'{cwd}/config.json') as config_file:
data = json.load(config_file)
new_arch = TablaTemplate(data)
test_sched = Schedule(optimize=False)
test_sched.load_dfg(file_path)
test_sched.schedule_graph(new_arch)
validate_instructions(new_arch)
generate_pe_instructions(test_sched, new_arch, package_name)
def test_benchmark_logistic():
Component.reset_ids()
package_name = "pm_linear55"
cwd = Path(f"{__file__}").parent
# base_path = f"{cwd}/../benchmarks/dfgs/tabla_generated"
base_path = f"{cwd}/test_dfgs"
# dfg_name = "linear_784.json"
dfg_name = f"{package_name}.json"
file_path = f"{base_path}/{dfg_name}"
with open(f'{cwd}/config.json') as config_file:
data = json.load(config_file)
new_arch = TablaTemplate(data)
test_sched = Schedule(optimize=True)
test_sched.load_dfg(file_path)
test_sched.schedule_graph(new_arch)
test_sched.print_schedule_graph(f"{cwd}/test_outputs/schedule_{dfg_name}")
# pprint.pprint(new_arch.namespace_utilization())
generate_pe_instructions(test_sched, new_arch, package_name)
def main(args):
with open(args.config_file) as config_file:
config = json.load(config_file)
# Sorting algorithm used internally in scheduler
sort_alg = "custom"
# Instantiate an architecture for scheduling
arch_scheduled = TablaTemplate(config)
sched = Schedule()
sched.load_dfg(args.dfg_file, sort_type=sort_alg)
arch_scheduled = sched.schedule_graph(arch_scheduled)
# Second architecture is instantiated by simulator
simulator = TablaSim(arch_scheduled, config, sched, args.interactive_mode)
simulator.run(args.weight_file, args.input_data_file, args.meta_file)