def build_campipe(app_data):
pipe_data = app_data['pipe_data']
# construct the camera pipeline
out_campipe = camera_pipe(pipe_data)
R = pipe_data['R']
C = pipe_data['C']
live_outs = [out_campipe]
pipe_name = app_data['app']
p_estimates = [(R, app_data['rows']), (C, app_data['cols'])]
p_constraints = [ Condition(R, "==", app_data['rows']), \
Condition(C, "==", app_data['cols']) ]
t_size = [64, 256]
g_size = 5
opts = []
if app_data['early_free']:
opts += ['early_free']
if app_data['optimize_storage']:
opts += ['optimize_storage']
if app_data['pool_alloc']:
opts += ['pool_alloc']
pipe = buildPipeline(live_outs,
param_estimates=p_estimates,
param_constraints=p_constraints,
tile_sizes=t_size,
group_size=g_size,
options=opts,
pipe_name=pipe_name)
return pipe
def build_campipe(app_data):
pipe_data = app_data['pipe_data']
# construct the camera pipeline
out_campipe = camera_pipe(pipe_data)
R = pipe_data['R']
C = pipe_data['C']
live_outs = [out_campipe]
pipe_name = app_data['app']
p_estimates = [(R, app_data['rows']), (C, app_data['cols'])]
p_constraints = [ Condition(R, "==", app_data['rows']), \
Condition(C, "==", app_data['cols']) ]
t_size = [64, 256]
g_size = 5
opts = []
if app_data['early_free']:
opts += ['early_free']
if app_data['optimize_storage']:
opts += ['optimize_storage']
if app_data['pool_alloc']:
opts += ['pool_alloc']
pipe = buildPipeline(live_outs,
param_estimates=p_estimates,
param_constraints=p_constraints,
tile_sizes = t_size,
group_size = g_size,
options = opts,
pipe_name = pipe_name)
return pipe
def build_campipe(app_data, g_size=None, t_size=None):
pipe_data = app_data['pipe_data']
# construct the camera pipeline
out_campipe, to_inline = camera_pipe(pipe_data)
R = pipe_data['R']
C = pipe_data['C']
live_outs = [out_campipe]
pipe_name = app_data['app']
p_estimates = [(R, app_data['rows']), (C, app_data['cols'])]
p_constraints = [ Condition(R, "==", app_data['rows']), \
Condition(C, "==", app_data['cols']) ]
if (t_size == None):
t_size = [64, 256]
if (g_size == None):
g_size = 5
opts = []
if app_data['early_free']:
opts += ['early_free']
if app_data['optimize_storage']:
opts += ['optimize_storage']
if app_data['pool_alloc']:
opts += ['pool_alloc']
if app_data['inline']:
opts += ['inline']
if app_data['multi-level-tiling']:
opts += ['multi-level-tiling']
if app_data['dpfuse']:
opts += ['dpfuse']
if app_data['logdpchoices']:
opts += ['logdpchoices']
if app_data['logmaxchildren']:
logmaxchildren = app_data['logmaxchildren']
pipe = buildPipeline(live_outs,
param_estimates=p_estimates,
param_constraints=p_constraints,
tile_sizes=t_size,
group_size=g_size,
options=opts,
pipe_name=pipe_name,
logMaxChildren=logmaxchildren)
return pipe
def auto_tune(app_data):
pipe_data = app_data['pipe_data']
app_name = app_data['app']
pipe_name = app_data['app']
out_campipe, iniline_fn = camera_pipe(pipe_data)
live_outs = [out_campipe]
R = pipe_data['R']
C = pipe_data['C']
rows = app_data['rows']
cols = app_data['cols']
param_estimates = [(R, rows), (C, cols)]
param_constraints = [ Condition(R, "==", rows), \
Condition(C, "==", cols) ]
dst_path = "/tmp"
group_size_configs = [4, 8, 12, 16, 100]
tile_size_configs = []
tile_size_configs.append([64, 256])
tile_size_configs.append([64, 128])
tile_size_configs.append([32, 512])
tile_size_configs.append([32, 256])
tile_size_configs.append([32, 128])
tile_size_configs.append([32, 64])
tile_size_configs.append([16, 512])
tile_size_configs.append([16, 256])
tile_size_configs.append([16, 128])
tile_size_configs.append([16, 64])
tile_size_configs.append([8, 512])
tile_size_configs.append([8, 256])
tile_size_configs.append([8, 128])
tile_size_configs.append([8, 64])
tile_size_configs.append([8, 32])
# relative path to root directory from app dir
ROOT = app_data['ROOT']
opts = []
if app_data['early_free']:
opts += ['early_free']
if app_data['optimize_storage']:
opts += ['optimize_storage']
if app_data['pool_alloc']:
opts += ['pool_alloc']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {
"_tuner_app_name": app_name,
"_tuner_pipe_name": pipe_name, # optional
"_tuner_live_outs": live_outs,
"_tuner_param_constraints": param_constraints, #optional
"_tuner_param_estimates": param_estimates, #optional
"_tuner_tile_size_configs": tile_size_configs, #optional
"_tuner_group_size_configs": group_size_configs, #optional
"_tuner_opts": opts, #optional
"_tuner_dst_path": dst_path, # optional
"_tuner_cxx_string": cxx_string, # optional
"_tuner_root_path": ROOT, # needed if pool_alloc is set
"_tuner_debug_flag": True, # optional
"_tuner_opt_datadict": app_data
}
_tuner_src_path, _tuner_configs_count, _tuner_pipe = \
tuner.generate(gen_config)
'''
_tuner_src_path = '/tmp/PolyEzSz1jRLRPMage/'
_tuner_configs_count = 75
_tuner_pipe = buildPipeline(live_outs)
'''
img_data = app_data['img_data']
IN = img_data['IN']
OUT = img_data['OUT']
M3200 = img_data['M3200']
M7000 = img_data['M7000']
app_args = app_data['app_args']
colour_temp = float(app_args.colour_temp)
contrast = float(app_args.contrast)
gamma = float(app_args.gamma)
pipe_args = {}
pipe_args['R'] = rows
pipe_args['C'] = cols
pipe_args['colour_temp'] = colour_temp
pipe_args['contrast'] = contrast
pipe_args['gamma'] = gamma
pipe_args['matrix_3200'] = M3200
pipe_args['matrix_7000'] = M7000
pipe_args['img'] = IN
pipe_args['process'] = OUT
# Execute the generated variants
# ==============================
exec_config = {
"_tuner_app_name": app_name,
"_tuner_pipe_name": pipe_name, # optional
"_tuner_pipe": _tuner_pipe,
"_tuner_pipe_arg_data": pipe_args,
"_tuner_src_path": _tuner_src_path, # optional
"_tuner_configs_count": _tuner_configs_count, # optional
"_tuner_omp_threads": 4, # optional
"_tuner_nruns": 1, # optional
"_tuner_debug_flag": True, # optional
#"_tuner_custom_executor": minimal_exec_mg,
"_tuner_app_data": app_data
}
tuner.execute(exec_config)
def auto_tune(app_data):
pipe_data = app_data['pipe_data']
app_name = app_data['app']
pipe_name = app_data['app']
out_campipe = camera_pipe(pipe_data)
live_outs = [out_campipe]
R = pipe_data['R']
C = pipe_data['C']
rows = app_data['rows']
cols = app_data['cols']
param_estimates = [(R, rows), (C, cols)]
param_constraints = [ Condition(R, "==", rows), \
Condition(C, "==", cols) ]
dst_path = "/tmp"
group_size_configs = [4, 8, 12, 16, 100]
tile_size_configs = []
tile_size_configs.append([64, 256])
tile_size_configs.append([64, 128])
tile_size_configs.append([32, 512])
tile_size_configs.append([32, 256])
tile_size_configs.append([32, 128])
tile_size_configs.append([32, 64])
tile_size_configs.append([16, 512])
tile_size_configs.append([16, 256])
tile_size_configs.append([16, 128])
tile_size_configs.append([16, 64])
tile_size_configs.append([8, 512])
tile_size_configs.append([8, 256])
tile_size_configs.append([8, 128])
tile_size_configs.append([8, 64])
tile_size_configs.append([8, 32])
# relative path to root directory from app dir
ROOT = app_data['ROOT']
opts = []
if app_data['early_free']:
opts += ['early_free']
if app_data['optimize_storage']:
opts += ['optimize_storage']
if app_data['pool_alloc']:
opts += ['pool_alloc']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {"_tuner_app_name": app_name,
"_tuner_pipe_name": pipe_name, # optional
"_tuner_live_outs": live_outs,
"_tuner_param_constraints": param_constraints, #optional
"_tuner_param_estimates": param_estimates, #optional
"_tuner_tile_size_configs": tile_size_configs, #optional
"_tuner_group_size_configs": group_size_configs, #optional
"_tuner_opts": opts, #optional
"_tuner_dst_path" : dst_path, # optional
"_tuner_cxx_string" : cxx_string, # optional
"_tuner_root_path" : ROOT, # needed if pool_alloc is set
"_tuner_debug_flag": True, # optional
"_tuner_opt_datadict": app_data
}
_tuner_src_path, _tuner_configs_count, _tuner_pipe = \
tuner.generate(gen_config)
'''
_tuner_src_path = '/tmp/PolyEzSz1jRLRPMage/'
_tuner_configs_count = 75
_tuner_pipe = buildPipeline(live_outs)
'''
img_data = app_data['img_data']
IN = img_data['IN']
OUT = img_data['OUT']
M3200 = img_data['M3200']
M7000 = img_data['M7000']
app_args = app_data['app_args']
colour_temp = float(app_args.colour_temp)
contrast = float(app_args.contrast)
gamma = float(app_args.gamma)
pipe_args = {}
pipe_args['R'] = rows
pipe_args['C'] = cols
pipe_args['colour_temp'] = colour_temp
pipe_args['contrast'] = contrast
pipe_args['gamma'] = gamma
pipe_args['matrix_3200'] = M3200
pipe_args['matrix_7000'] = M7000
pipe_args['img'] = IN
pipe_args['process'] = OUT
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_tuner_pipe_name": pipe_name, # optional
"_tuner_pipe": _tuner_pipe,
"_tuner_pipe_arg_data": pipe_args,
"_tuner_src_path": _tuner_src_path, # optional
"_tuner_configs_count": _tuner_configs_count, # optional
"_tuner_omp_threads": 4, # optional
"_tuner_nruns": 1, # optional
"_tuner_debug_flag": True, # optional
#"_tuner_custom_executor": minimal_exec_mg,
"_tuner_app_data": app_data
}
tuner.execute(exec_config)