def generate_filter_code_for_feature(feature, search_time=2):
goal, scaling = generate_centre_goal_for_feature(feature)
program, program_length, sol_stats = generate(
goal,
search_time,
available_regs=['C', 'D', 'E'],
out_format='CSIM',
start_reg='A',
target_reg='C',
verbose=0,
approx_depth=20,
max_approx_coeffs=1)
return program, scaling
#################################################
# Generate the 3 convolutions (first and only layer)
# with all registers as available (outputs during computations)
#################################################
# Generate CSIM code, with all registers available
start_register = ['A', 'A', 'A']
available_registers = [['B', 'C', 'D', 'E'], ['B', 'C', 'D', 'E'],
['B', 'C', 'D', 'E']]
filename_prefix = '_out_conv_'
for k in range(3):
csimProgram, _, _ = generate(kernels[k],
search_time,
start_reg=start_register[k],
target_reg=start_register[k],
available_regs=[start_register[k]] +
available_registers[k],
verbose=0,
out_format='CSIM',
approx_depth=approx_depth,
pair_props=pair_props)
scamp5Program = csim_to_scamp5(csimProgram)
# Output to files
with open(filename_prefix + str(k + 1) + '.txt', 'w') as f:
for l in scamp5Program:
f.write(l + '\n')
#################################################
# Generate the 3 convolutions with incrementally less registers
#################################################
# Generate CSIM code, with all registers available
# [0.513, 0.131, 0.634]
# ])
# filter = np.array([
# [0.25, 0.0, 0.5],
# [0.75, 0.0, 0.5],
# [0.5, 0.25, 0.75]
# ])
start_reg = 'A'
target_reg = 'A'
available_regs = ['A', 'B', 'C']
search_time = 3
approx_depth = 4
# the format can be any of
# APRON: A modified format for the APRON simulator.
# CSIM: A C format for the cpa-sim simulator
# set verbosity to 10 to output filter graph representations. Requires pygraphviz.
program, program_length, sol_stats = generate(filter, search_time,
start_reg=start_reg,
target_reg=target_reg,
available_regs=available_regs,
verbose=9,
out_format='APRON',
approx_depth=approx_depth,
pair_props=pair_props)
