def __init__(self, path, basecache=None):
"""
Create a new JSON cache.
Optionally supports populating the cache with values of an
existing cache.
Arguments:
basecache (TransientCache, optional): Cache to populate this new
cache with.
"""
super(JsonCache, self).__init__()
self.path = fs.abspath(path)
if fs.exists(self.path) and fs.read_file(self.path):
io.debug(("Loading cache '{0}'".format(self.path)))
with open(self.path) as file:
self._data = json.load(file)
if basecache is not None:
for key, val in basecache.items():
self._data[key] = val
# Register exit handler
atexit.register(self.write)
def RequestStencilParams(self, device_name, device_count, north, south,
east, west, data_width, data_height, type_in,
type_out, source, max_wg_size):
"""
Request parameter values for a SkelCL stencil operation.
Determines the parameter values to use for a SkelCL stencil
operation, using a machine learning classifier to predict the
optimal parameter values given a set of features determined
from the arguments.
Args:
device_name (str): The name of the execution device.
device_count (int): The number of execution devices.
north (int): The stencil shape north direction.
south (int): The stencil shape south direction.
east (int): The stencil shape east direction.
west (int): The stencil shape west direction.
data_width (int): The number of columns of data.
data_height (int): The number of rows of data.
type_in (str): The input data type.
type_out (str): The output data type.
max_wg_size (int): The maximum kernel workgroup size.
source (str): The stencil kernel source code.
Returns:
A tuple of work group size values, e.g.
(16,32)
"""
start_time = time.time()
# Parse arguments.
device_name = util.parse_str(device_name)
device_count = int(device_count)
north = int(north)
south = int(south)
east = int(east)
west = int(west)
data_width = int(data_width)
data_height = int(data_height)
source = util.parse_str(source)
max_wg_size = int(max_wg_size)
# TODO: Perform feature extraction & classification
wg = (64, 32)
end_time = time.time()
io.debug(("RequestStencilParams() -> "
"({c}, {r}) [{t:.3f}s]".format(c=wg[0],
r=wg[1],
t=end_time - start_time)))
return wg
def AddStencilRuntime(self, device_name, device_count, north, south, east,
west, data_width, data_height, type_in, type_out,
source, max_wg_size, wg_c, wg_r, runtime):
"""
Add a new stencil runtime.
Args:
device_name (str): The name of the execution device.
device_count (int): The number of execution devices.
north (int): The stencil shape north direction.
south (int): The stencil shape south direction.
east (int): The stencil shape east direction.
west (int): The stencil shape west direction.
data_width (int): The number of columns of data.
data_height (int): The number of rows of data.
type_in (str): The input data type.
type_out (str): The output data type.
source (str): The stencil kernel source code.
max_wg_size (int): The maximum kernel workgroup size.
wg_c (int): The workgroup size used (columns).
wg_r (int): The workgroup size used (rows).
runtime (double): The measured runtime in milliseconds.
"""
# Parse arguments.
device_name = util.parse_str(device_name)
device_count = int(device_count)
north = int(north)
south = int(south)
east = int(east)
west = int(west)
data_width = int(data_width)
data_height = int(data_height)
type_in = util.parse_str(type_in)
type_out = util.parse_str(type_out)
source = util.parse_str(source)
max_wg_size = int(max_wg_size)
wg_c = int(wg_c)
wg_r = int(wg_r)
runtime = float(runtime)
# Lookup IDs
device = self.db.device_id(device_name, device_count)
kernel = self.db.kernel_id(north, south, east, west, max_wg_size,
source)
dataset = self.db.datasets_id(data_width, data_height, type_in,
type_out)
scenario = self.db.scenario_id(device, kernel, dataset)
params = self.db.params_id(wg_c, wg_r)
# Add entry into runtimes table.
self.db.add_runtime(scenario, params, runtime)
self.db.commit()
io.debug(("AddStencilRuntime({scenario}, {params}, {runtime})".format(
scenario=scenario[:8], params=params, runtime=runtime)))
def write(self):
"""
Write contents of cache to disk.
"""
io.debug("Storing cache '{0}'".format(self.path))
with open(self.path, "w") as file:
json.dump(self._data,
file,
sort_keys=True,
indent=2,
separators=(',', ': '))
def test_debug():
out = StringIO()
io.debug("foo", file=out)
assert "DEBUG" == re.search("DEBUG", out.getvalue()).group(0)
def migrate_2_to_3(old):
"""
SkelCL database migration script.
Arguments:
old (SkelCLDatabase): The database to migrate
"""
def _old_kernel2new(old_id):
kernel = old.execute(
"SELECT north,south,east,west,max_wg_size,source "
"FROM kernels WHERE id=?", (old_id, )).fetchone()
if kernel:
return tmp.kernel_id(*kernel)
def _old_scenario2new(old_id):
device, old_kernel, dataset = old.execute(
"SELECT device,kernel,dataset "
"FROM scenarios WHERE id=?", (old_id, )).fetchone()
kernel = _old_kernel2new(old_kernel)
return tmp.scenario_id(device, kernel, dataset)
# TODO: Un-comment out code!
# Create temporary database
fs.rm("/tmp/omnitune.skelcl.migration.db")
tmp = _db.Database("/tmp/omnitune.skelcl.migration.db")
tmp.attach(old.path, "rhs")
io.info("Migrating database to version 3.")
backup_path = old.path + ".2"
io.info("Creating backup of old database at '{0}'".format(backup_path))
fs.cp(old.path, backup_path)
tmp_path = tmp.path
old_path = old.path
tmp.run("create_tables")
# Populate feature and lookup tables.
for row in old.execute("SELECT * FROM devices"):
features = row[1:]
id = hash_device(*features)
io.debug("Features extracted for device", id)
row = (id, ) + features
tmp.execute("INSERT INTO devices VALUES " + placeholders(*row), row)
row = (features[0], features[1], id)
tmp.execute("INSERT INTO device_lookup VALUES " + placeholders(*row),
row)
tmp.commit()
for row in old.execute("SELECT * FROM kernels"):
args = row[1:]
tmp.kernel_id(*args)
for row in old.execute("SELECT * FROM datasets"):
features = row[1:]
id = hash_dataset(*features)
io.debug("Features extracted for dataset", id)
row = (id, ) + features
tmp.execute("INSERT INTO datasets VALUES " + placeholders(*row), row)
row = features + (id, )
tmp.execute("INSERT INTO dataset_lookup VALUES " + placeholders(*row),
row)
tmp.commit()
# Populate kernel_names table.
for row in old.execute("SELECT * FROM kernel_names"):
old_id = row[0]
synthetic, name = row[1:]
kernel = _old_kernel2new(old_id)
if kernel:
row = (kernel, synthetic, name)
tmp.execute(
"INSERT OR IGNORE INTO kernel_names VALUES " +
placeholders(*row), row)
tmp.commit()
# Populate scenarios table.
for row in old.execute("SELECT * FROM scenarios"):
old_id, _, device, old_kernel, dataset = row
kernel = _old_kernel2new(old_kernel)
new_id = hash_scenario(device, kernel, dataset)
row = (new_id, device, kernel, dataset)
tmp.execute(
"INSERT OR IGNORE INTO scenarios VALUES " + placeholders(*row),
row)
tmp.commit()
# Populate params table.
tmp.execute("INSERT INTO params SELECT * from rhs.params")
tmp.commit()
scenario_replacements = {
row[0]: _old_scenario2new(row[0])
for row in old.execute("SELECT * FROM scenarios")
}
tmp.execute("INSERT INTO runtimes SELECT * from rhs.runtimes")
for old_id, new_id in scenario_replacements.iteritems():
io.info("Runtimes", old_id, "->", new_id)
tmp.execute("UPDATE runtimes SET scenario=? WHERE scenario=?",
(new_id, old_id))
tmp.commit()
# Sanity checks
bad = False
for row in tmp.execute("SELECT DISTINCT scenario FROM runtimes"):
count = tmp.execute("SELECT Count(*) FROM scenarios WHERE id=?",
(row[0], )).fetchone()[0]
if count != 1:
io.error("Bad scenario count:", row[0], count)
bad = True
if bad:
io.fatal("Failed sanity check, aborting.")
else:
io.info("Passed sanity check.")
# Copy migrated database over the original one.
fs.cp(tmp_path, old_path)
fs.rm(tmp_path)
old.close()
tmp.close()
io.info("Migration completed.")
def migrate_0_to_1(old):
"""
SkelCL database migration script.
Arguments:
old (SkelCLDatabase): The database to migrate
"""
def get_source(checksum):
query = old.execute("SELECT source FROM kernels WHERE checksum = ?",
(checksum, ))
return query.fetchone()[0]
def get_device_attr(device_id, name, count):
query = old.execute("SELECT * FROM devices WHERE name = ?", (name, ))
attr = query.fetchone()
# Splice into the new
newattr = (device_id, attr[0], count) + attr[2:]
return newattr
def process_row(tmp, row):
# Get column values from row.
host = row[0]
dev_name = row[1]
dev_count = row[2]
kern_checksum = row[3]
north = row[4]
south = row[5]
east = row[6]
west = row[7]
data_width = row[8]
data_height = row[9]
max_wg_size = row[10]
wg_c = row[11]
wg_r = row[12]
runtime = row[13]
type_in = "float"
type_out = "float"
# Lookup source code.
source = get_source(kern_checksum)
user_source = get_user_source(source)
kernel_id = hash_kernel(north, south, east, west, max_wg_size, source)
device_id = hash_device(dev_name, dev_count)
data_id = hash_data(data_width, data_height, type_in, type_out)
scenario_id = hash_scenario(host, device_id, kernel_id, data_id)
params_id = hash_workgroup_size(wg_c, wg_r)
device_attr = get_device_attr(device_id, dev_name, dev_count)
# Add database entries.
tmp.execute(
"INSERT OR IGNORE INTO kernels VALUES (?,?,?,?,?,?,?)",
(kernel_id, north, south, east, west, max_wg_size, user_source))
placeholders = ",".join(["?"] * len(device_attr))
tmp.execute(
"INSERT OR IGNORE INTO devices VALUES (" + placeholders + ")",
device_attr)
tmp.execute("INSERT OR IGNORE INTO data VALUES (?,?,?,?,?)",
(data_id, data_width, data_height, type_in, type_out))
tmp.execute("INSERT OR IGNORE INTO params VALUES (?,?,?)",
(params_id, wg_c, wg_r))
tmp.execute("INSERT OR IGNORE INTO scenarios VALUES (?,?,?,?,?)",
(scenario_id, host, device_id, kernel_id, data_id))
tmp.execute("INSERT INTO runtimes VALUES (?,?,?)",
(scenario_id, params_id, runtime))
# Create temporary database
tmp = _db.Database("/tmp/omnitune.skelcl.migration.db")
# Clear anything that's already in the database.
for table in tmp.tables:
tmp.drop_table(table)
io.info("Migrating database to version 1.")
backup_path = old.path + ".0"
io.info("Creating backup of old database at '{0}'".format(backup_path))
fs.cp(old.path, backup_path)
io.debug("Migration: creating tables ...")
# Create table: kernels
tmp.create_table("version", (("version", "integer"), ))
# Set database version
tmp.execute("INSERT INTO version VALUES (1)")
# Create table: kernels
tmp.create_table("kernels",
(("id", "text primary key"), ("north", "integer"),
("south", "integer"), ("east", "integer"),
("west", "integer"), ("max_wg_size", "integer"),
("source", "text")))
# Create table: devices
tmp.create_table(
"devices",
(("id", "text primary key"), ("name", "text"), ("count", "integer"),
("address_bits", "integer"), ("double_fp_config", "integer"),
("endian_little", "integer"), ("execution_capabilities", "integer"),
("extensions", "text"), ("global_mem_cache_size", "integer"),
("global_mem_cache_type", "integer"),
("global_mem_cacheline_size", "integer"),
("global_mem_size", "integer"), ("host_unified_memory", "integer"),
("image2d_max_height", "integer"), ("image2d_max_width", "integer"),
("image3d_max_depth", "integer"), ("image3d_max_height", "integer"),
("image3d_max_width", "integer"), ("image_support", "integer"),
("local_mem_size", "integer"), ("local_mem_type", "integer"),
("max_clock_frequency", "integer"), ("max_compute_units", "integer"),
("max_constant_args", "integer"),
("max_constant_buffer_size", "integer"),
("max_mem_alloc_size", "integer"), ("max_parameter_size", "integer"),
("max_read_image_args", "integer"), ("max_samplers", "integer"),
("max_work_group_size",
"integer"), ("max_work_item_dimensions",
"integer"), ("max_work_item_sizes_0", "integer"),
("max_work_item_sizes_1",
"integer"), ("max_work_item_sizes_2",
"integer"), ("max_write_image_args", "integer"),
("mem_base_addr_align",
"integer"), ("min_data_type_align_size",
"integer"), ("native_vector_width_char", "integer"),
("native_vector_width_double",
"integer"), ("native_vector_width_float",
"integer"), ("native_vector_width_half", "integer"),
("native_vector_width_int",
"integer"), ("native_vector_width_long",
"integer"), ("native_vector_width_short", "integer"),
("preferred_vector_width_char",
"integer"), ("preferred_vector_width_double",
"integer"), ("preferred_vector_width_float", "integer"),
("preferred_vector_width_half",
"integer"), ("preferred_vector_width_int",
"integer"), ("preferred_vector_width_long", "integer"),
("preferred_vector_width_short", "integer"),
("queue_properties", "integer"), ("single_fp_config",
"integer"), ("type", "integer"),
("vendor", "text"), ("vendor_id", "text"), ("version", "text")))
# Create table: data
tmp.create_table("data", (("id", "text primary key"), ("width", "integer"),
("height", "integer"), ("tin", "text"),
("tout", "text")))
# Create table: params
tmp.create_table("params", (("id", "text primary key"),
("wg_c", "integer"), ("wg_r", "integer")))
# Create table: scenarios
tmp.create_table("scenarios", (("id", "text primary key"),
("host", "text"), ("device", "text"),
("kernel", "text"), ("data", "text")))
# Create table: runtimes
tmp.create_table("runtimes", (("scenario", "text"), ("params", "text"),
("runtime", "real")))
i = 0
for row in old.execute("SELECT * from runtimes"):
process_row(tmp, row)
i += 1
if not i % 2500:
io.debug("Processed", i, "rows ...")
if not i % 5000:
tmp.commit()
tmp.commit()
old_path = old.path
tmp_path = tmp.path
# Copy migrated database over the original one.
fs.cp(tmp_path, old_path)
fs.rm(tmp_path)
old.close()
tmp.close()
io.info("Migration completed.")