def auto_tune(app_data):
pipe_data = app_data['pipe_data']
cycle_type = app_data['cycle']
if cycle_type == 'V':
mg = v_cycle(app_data)
elif cycle_type == 'W':
mg = w_cycle(app_data)
app_name = app_data['cycle_name']
live_outs = [mg]
n = pipe_data['n']
param_estimates = [(n, app_data['n'])]
param_constraints = [ Condition(n, '==', app_data['n']) ]
dst_path = "/tmp"
group_size_configs = [3, 4, 5, 6, 7, 8]
tile_size_configs = []
tile_size_configs.append([8, 8, 8])
tile_size_configs.append([8, 8, 16])
tile_size_configs.append([8, 8, 32])
tile_size_configs.append([8, 8, 64])
tile_size_configs.append([8, 16, 16])
tile_size_configs.append([8, 16, 32])
tile_size_configs.append([8, 16, 64])
tile_size_configs.append([8, 32, 32])
tile_size_configs.append([8, 32, 64])
tile_size_configs.append([8, 64, 64])
tile_size_configs.append([16, 16, 16])
tile_size_configs.append([16, 16, 32])
tile_size_configs.append([16, 16, 64])
tile_size_configs.append([16, 32, 32])
tile_size_configs.append([16, 32, 64])
tile_size_configs.append([16, 64, 64])
tile_size_configs.append([32, 32, 32])
tile_size_configs.append([32, 32, 64])
tile_size_configs.append([32, 64, 64])
tile_size_configs.append([64, 64, 64])
# 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']
if app_data['multipar']:
opts += ['multipar']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {"_tuner_app_name": app_name,
"_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)
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_tuner_pipe": _tuner_pipe,
"_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_name']
pipe_name = app_data['app']
pipe_func_name = "pipeline_" + pipe_name
out_unsharp, inline_func = unsharp_mask(pipe_data)
live_outs = [out_unsharp]
R = pipe_data['R']
C = pipe_data['C']
rows = app_data['rows'] - 2
cols = app_data['cols'] - 2
threshold = app_data['threshold']
weight = app_data['weight']
param_estimates = [(R, rows), (C, cols)]
param_constraints = [ Condition(R, "==", rows), \
Condition(C, "==", cols) ]
dst_path = "/tmp"
group_size_configs = [int(i * 4) for i in [0.2, 0.4, 0.5]]
#group_size_configs = [10]
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']
if app_data['dpfuse']:
opts += ['dpfuse']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {
"_tuner_app_name": app_name,
"_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/PolycNUUEYoLt2Mage'
_tuner_configs_count = 75
_tuner_pipe = buildPipeline(live_outs)
'''
img_data = app_data['img_data']
IN = img_data['IN']
OUT = img_data['OUT']
pipe_args = {}
pipe_args['R'] = rows
pipe_args['C'] = cols
pipe_args['threshold'] = threshold
pipe_args['weight'] = weight
pipe_args['img'] = IN
pipe_args['mask'] = OUT
# Execute the generated variants
# ==============================
exec_config = {
"_tuner_app_name": app_name,
"_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": int(app_data['app_args'].runs), # 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, 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_pyramid = pyramid_blending(pipe_data)
live_outs = [out_pyramid]
R = pipe_data['R']
C = pipe_data['C']
rows = app_data['rows']-2
cols = app_data['cols']-2
param_estimates = [(R, rows), (C, cols)]
param_constraints = [ Condition(R, "==", rows), \
Condition(C, "==", cols) ]
dst_path = "/tmp"
group_size_configs = [3, 5, 7, 9, 10]
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_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)
img_data = app_data['img_data']
IN1 = img_data['IN1']
IN2 = img_data['IN2']
OUT = img_data['OUT']
mask = img_data['mask_ghost']
pipe_args = {}
pipe_args['R'] = rows
pipe_args['C'] = cols
pipe_args['img1'] = IN1
pipe_args['img2'] = IN2
pipe_args['mask'] = mask
pipe_args['blend'] = OUT
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_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']
stencil = stencil_jacobi(app_data)
live_outs = [stencil]
N = pipe_data['N']
param_estimates = [(N, app_data['N'])]
param_constraints = [ Condition(N, '==', app_data['N']) ]
dst_path = "/tmp"
group_size_configs = [2, 4, 6, 8]
tile_size_configs = []
tile_size_configs.append([8, 32])
tile_size_configs.append([8, 64])
tile_size_configs.append([8, 128])
tile_size_configs.append([8, 256])
tile_size_configs.append([8, 512])
tile_size_configs.append([16, 64])
tile_size_configs.append([16, 128])
tile_size_configs.append([16, 256])
tile_size_configs.append([16, 512])
tile_size_configs.append([32, 64])
tile_size_configs.append([32, 128])
tile_size_configs.append([32, 256])
tile_size_configs.append([32, 512])
tile_size_configs.append([64, 128])
tile_size_configs.append([64, 256])
# 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']
if app_data['multipar']:
opts += ['multipar']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {"_tuner_app_name": app_name,
"_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)
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_tuner_pipe": _tuner_pipe,
"_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": custom_exec_jacobi,
"_tuner_app_data": app_data
}
tuner.execute(exec_config)
def auto_tune(app_data):
pipe_data = app_data['pipe_data']
cycle_type = app_data['cycle']
if cycle_type == 'V':
mg = v_cycle(app_data)
elif cycle_type == 'W':
mg = w_cycle(app_data)
app_name = app_data['cycle_name']
live_outs = [mg]
n = pipe_data['n']
param_estimates = [(n, app_data['n'])]
param_constraints = [ Condition(n, '==', app_data['n']) ]
dst_path = "/tmp"
group_size_configs = [2, 4, 6, 8]
tile_size_configs = []
tile_size_configs.append([8, 32])
tile_size_configs.append([8, 64])
tile_size_configs.append([8, 128])
tile_size_configs.append([8, 256])
tile_size_configs.append([8, 512])
tile_size_configs.append([16, 64])
tile_size_configs.append([16, 128])
tile_size_configs.append([16, 256])
tile_size_configs.append([16, 512])
tile_size_configs.append([32, 64])
tile_size_configs.append([32, 128])
tile_size_configs.append([32, 256])
tile_size_configs.append([32, 512])
tile_size_configs.append([64, 128])
tile_size_configs.append([64, 256])
# 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']
if app_data['multipar']:
opts += ['multipar']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {"_tuner_app_name": app_name,
"_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)
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_tuner_pipe": _tuner_pipe,
"_tuner_src_path": _tuner_src_path, # optional
"_tuner_configs_count": _tuner_configs_count, # optional
"_tuner_omp_threads": 48, # 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_pyramid = pyramid_blending(pipe_data)
live_outs = [out_pyramid]
R = pipe_data['R']
C = pipe_data['C']
rows = app_data['rows'] - 2
cols = app_data['cols'] - 2
param_estimates = [(R, rows), (C, cols)]
param_constraints = [ Condition(R, "==", rows), \
Condition(C, "==", cols) ]
dst_path = "/tmp"
group_size_configs = [3, 5, 7, 9, 10]
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_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)
img_data = app_data['img_data']
IN1 = img_data['IN1']
IN2 = img_data['IN2']
OUT = img_data['OUT']
mask = img_data['mask_ghost']
pipe_args = {}
pipe_args['R'] = rows
pipe_args['C'] = cols
pipe_args['img1'] = IN1
pipe_args['img2'] = IN2
pipe_args['mask'] = mask
pipe_args['blend'] = OUT
# Execute the generated variants
# ==============================
exec_config = {
"_tuner_app_name": app_name,
"_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)
def auto_tune(app_data):
pipe_data = app_data['pipe_data']
app_name = app_data['app_name']
pipe_name = app_data['app']
pipe_func_name = "pipeline_"+pipe_name
out_unsharp = unsharp_mask(pipe_data)
live_outs = [out_unsharp]
R = pipe_data['R']
C = pipe_data['C']
rows = app_data['rows']-2
cols = app_data['cols']-2
threshold = app_data['threshold']
weight = app_data['weight']
param_estimates = [(R, rows), (C, cols)]
param_constraints = [ Condition(R, "==", rows), \
Condition(C, "==", cols) ]
dst_path = "/tmp"
group_size_configs = [3, 5, 7, 9, 10]
#group_size_configs = [10]
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_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/PolycNUUEYoLt2Mage'
_tuner_configs_count = 75
_tuner_pipe = buildPipeline(live_outs)
'''
img_data = app_data['img_data']
IN = img_data['IN']
OUT = img_data['OUT']
pipe_args = {}
pipe_args['R'] = rows
pipe_args['C'] = cols
pipe_args['threshold'] = threshold
pipe_args['weight'] = weight
pipe_args['img'] = IN
pipe_args['mask'] = OUT
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_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_name']
pipe_name = app_data['app']
pipe_func_name = "pipeline_" + pipe_name
out_mfd, inline_func = minifluxdiv(pipe_data)
live_outs = [out_mfd]
B = pipe_data['B']
N = pipe_data['N']
boxes = app_data['boxes']
cells = app_data['cells']
param_estimates = [(B, boxes), (N, cells)]
param_constraints = [ Condition(B, "==", boxes), \
Condition(N, "==", cells) ]
dst_path = "/tmp"
#group_size_configs = [3, 5, 7, 9, 10]
group_size_configs = [4]
#group_size_configs = [1]
tile_size_configs = []
tile_size_configs.append([7, 7, 128])
# 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']
if app_data['dpfuse']:
opts += ['dpfuse']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {
"_tuner_app_name": app_name,
"_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/PolycNUUEYoLt2Mage'
# _tuner_configs_count = 75
# _tuner_pipe = buildPipeline(live_outs)
# '''
mfd_data = app_data['mfd_data']
IN = mfd_data['IN']
OUT = mfd_data['OUT']
pipe_args = {}
pipe_args['B'] = boxes
pipe_args['N'] = cells
pipe_args['box'] = IN
pipe_args['sums'] = OUT
# Execute the generated variants
# ==============================
exec_config = {
"_tuner_app_name": app_name,
"_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": 10, # 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']
stencil = stencil_jacobi(app_data)
live_outs = [stencil]
N = pipe_data['N']
param_estimates = [(N, app_data['N'])]
param_constraints = [ Condition(N, '==', app_data['N']) ]
dst_path = "/tmp"
group_size_configs = [2, 3, 4]
tile_size_configs = []
tile_size_configs.append([8, 8, 32])
tile_size_configs.append([8, 8, 64])
tile_size_configs.append([8, 8, 128])
tile_size_configs.append([8, 16, 16])
tile_size_configs.append([8, 16, 32])
tile_size_configs.append([8, 16, 64])
tile_size_configs.append([8, 32, 32])
tile_size_configs.append([8, 32, 64])
tile_size_configs.append([8, 64, 64])
tile_size_configs.append([16, 16, 16])
tile_size_configs.append([16, 16, 32])
tile_size_configs.append([16, 16, 64])
tile_size_configs.append([16, 32, 32])
tile_size_configs.append([16, 32, 64])
tile_size_configs.append([32, 32, 32])
opts = []
# 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']
if app_data['multipar']:
opts += ['multipar']
gen_compile_string(app_data)
cxx_string = app_data['cxx_string']
# Generate Variants for Tuning
# ============================
gen_config = {"_tuner_app_name": app_name,
"_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)
# Execute the generated variants
# ==============================
exec_config = {"_tuner_app_name": app_name,
"_tuner_pipe": _tuner_pipe,
"_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": custom_exec_jacobi,
"_tuner_app_data": app_data
}
tuner.execute(exec_config)