[PY] change hardcoded names of loggers to __name__

apps/topi_recipe/conv/test_conv_int8_arm.py

@@ -24,7 +24,7 @@
 from tvm import topi
 
 logging.basicConfig(stream=sys.stdout, level=logging.INFO)
-LOGGER = logging.getLogger("test_conv_int8_intel")
+LOGGER = logging.getLogger(__name__)
 LOGGER.disabled = False
 
 # All the WORKLOADS from Resnet except first layer

apps/topi_recipe/conv/test_conv_int8_intel.py

@@ -24,7 +24,7 @@
 from tvm import topi
 
 logging.basicConfig(stream=sys.stdout, level=logging.INFO)
-LOGGER = logging.getLogger("test_conv_int8_intel")
+LOGGER = logging.getLogger(__name__)
 LOGGER.disabled = False
 
 # All the WORKLOADS from Resnet except first layer

docs/arch/relay_op_strategy.rst

@@ -278,5 +278,5 @@ model to learn which implementation is used for each operator.
 
 .. code:: python
 
-    logging.getLogger("te_compiler").setLevel(logging.INFO)
-    logging.getLogger("te_compiler").addHandler(logging.StreamHandler(sys.stdout))
+    logging.getLogger("tvm.relay.backend.te_compiler").setLevel(logging.INFO)
+    logging.getLogger("tvm.relay.backend.te_compiler").addHandler(logging.StreamHandler(sys.stdout))

docs/contribute/code_guide.rst

@@ -88,6 +88,7 @@ Python Code Styles
 - The functions and classes are documented in `numpydoc <https://numpydoc.readthedocs.io/en/latest/>`_ format.
 - Check your code style using ``python tests/scripts/ci.py lint``
 - Stick to language features in ``python 3.7``
+- If you use `logging` module, you should use generic logger names, i.e. ``logging.getLogger(__name__)`` instead of ``logging.getLogger("tvm.runtime")``
 
 
 Writing Python Tests

gallery/how_to/tune_with_autotvm/tune_conv2d_cuda.py

@@ -182,8 +182,8 @@ def conv2d_no_batching(N, H, W, CO, CI, KH, KW, stride, padding):
 # for this template
 
 # logging config (for printing tuning log to screen)
-logging.getLogger("autotvm").setLevel(logging.DEBUG)
-logging.getLogger("autotvm").addHandler(logging.StreamHandler(sys.stdout))
+logging.getLogger("tvm.autotvm").setLevel(logging.DEBUG)
+logging.getLogger("tvm.autotvm").addHandler(logging.StreamHandler(sys.stdout))
 
 # the last layer in resnet
 N, H, W, CO, CI, KH, KW, strides, padding = 1, 7, 7, 512, 512, 3, 3, (1, 1), (1, 1)

gallery/how_to/tune_with_autotvm/tune_relay_arm.py

@@ -411,6 +411,6 @@ def tune_and_evaluate(tuning_opt):
 #   .. code-block:: python
 #
 #      import logging
-#      logging.getLogger('autotvm').setLevel(logging.DEBUG)
+#      logging.getLogger('tvm.autotvm').setLevel(logging.DEBUG)
 #
 #   Finally, always feel free to ask our community for help on https://discuss.tvm.apache.org

gallery/how_to/tune_with_autotvm/tune_relay_cuda.py

@@ -302,7 +302,7 @@ def tune_and_evaluate(tuning_opt):
 #   .. code-block:: python
 #
 #      import logging
-#      logging.getLogger('autotvm').setLevel(logging.DEBUG)
+#      logging.getLogger('tvm.autotvm').setLevel(logging.DEBUG)
 #
 #   Finally, always feel free to ask our community for help on https://discuss.tvm.apache.org
 

gallery/how_to/tune_with_autotvm/tune_relay_mobile_gpu.py

@@ -409,6 +409,6 @@ def tune_and_evaluate(tuning_opt):
 #   .. code-block:: python
 #
 #      import logging
-#      logging.getLogger('autotvm').setLevel(logging.DEBUG)
+#      logging.getLogger('tvm.autotvm').setLevel(logging.DEBUG)
 #
 #   Finally, always feel free to ask our community for help on https://discuss.tvm.apache.org

gallery/tutorial/autotvm_matmul_x86.py

@@ -321,8 +321,8 @@ def matmul(N, L, M, dtype):
 # configuration discovered by the tuner later.
 
 # logging config (for printing tuning log to the screen)
-logging.getLogger("autotvm").setLevel(logging.DEBUG)
-logging.getLogger("autotvm").addHandler(logging.StreamHandler(sys.stdout))
+logging.getLogger("tvm.autotvm").setLevel(logging.DEBUG)
+logging.getLogger("tvm.autotvm").addHandler(logging.StreamHandler(sys.stdout))
 
 ################################################################################
 # There are two steps for measuring a config: build and run. By default, we use

python/tvm/auto_scheduler/cost_model/xgb_model.py

@@ -30,7 +30,7 @@
 
 xgb = None
 
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 
 class XGBDMatrixContext:

python/tvm/auto_scheduler/dispatcher.py

@@ -37,7 +37,7 @@
 from .search_task import SearchTask, TuningOptions
 from .utils import calc_workload_dis_factor, decode_workload_key
 
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 
 class DispatchContext(object):

python/tvm/auto_scheduler/measure.py

@@ -64,7 +64,7 @@
 )
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 # The time cost for measurements with errors
 # We use 1e10 instead of sys.float_info.max for better readability in log

python/tvm/auto_scheduler/measure_record.py

@@ -30,7 +30,7 @@
 from .utils import calc_workload_dis_factor, decode_workload_key
 from . import _ffi_api
 
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 
 @tvm._ffi.register_object("auto_scheduler.RecordToFile")

python/tvm/auto_scheduler/relay_integration.py

@@ -45,7 +45,7 @@
 from .utils import get_const_tuple
 from .workload_registry import register_workload_tensors
 
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 
 def call_all_topi_funcs(mod, params, target, error_list, opt_level=3):

python/tvm/auto_scheduler/search_task.py

@@ -38,7 +38,7 @@
 from . import _ffi_api
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 
 @tvm._ffi.register_object("auto_scheduler.HardwareParams")

python/tvm/auto_scheduler/task_scheduler.py

@@ -36,7 +36,7 @@
 from .measure_record import RecordReader
 from . import _ffi_api
 
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 
 def make_search_policies(

python/tvm/auto_scheduler/workload_registry.py

@@ -39,7 +39,7 @@
 
 from .utils import deserialize_args, get_func_name, serialize_args
 
-logger = logging.getLogger("auto_scheduler")
+logger = logging.getLogger(__name__)
 
 # Global workload function and hash key registry
 # It stores two types of workload:

python/tvm/autotvm/graph_tuner/base_graph_tuner.py

@@ -137,7 +137,7 @@ def __init__(
 
         # Set up logger
         self._verbose = verbose
-        self._logger = logging.getLogger(name + "_logger")
+        self._logger = logging.getLogger(__name__ + self._name)
         need_file_handler = need_console_handler = True
         for handler in self._logger.handlers:
             if handler.__class__.__name__ == "FileHandler":

python/tvm/autotvm/measure/measure_methods.py

@@ -51,7 +51,7 @@
 from ..utils import get_const_tuple
 from .measure import Builder, MeasureErrorNo, MeasureResult, Runner
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 class BuildResult(namedtuple("BuildResult", ("filename", "arg_info", "error", "time_cost"))):

python/tvm/autotvm/record.py

@@ -39,7 +39,7 @@
 
 AUTOTVM_LOG_VERSION = 0.2
 _old_version_warning = True
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 try:  # convert unicode to str for python2
     _unicode = unicode

python/tvm/autotvm/task/dispatcher.py

@@ -37,7 +37,7 @@
 from .space import FallbackConfigEntity
 from .. import env as _env
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 class DispatchContext(object):

python/tvm/autotvm/task/relay_integration.py

@@ -30,7 +30,7 @@
 from .task import create
 from .topi_integration import TaskExtractEnv
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 # TODO(moreau89) find a more elegant way to lower for VTAs

python/tvm/autotvm/tophub.py

@@ -59,7 +59,7 @@
     "amd_apu": "v0.01",
 }
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 def _alias(name):

python/tvm/autotvm/tuner/callback.py

@@ -25,7 +25,7 @@
 from .. import record
 from ..utils import format_si_prefix
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 def log_to_file(file_out, protocol="json"):

python/tvm/autotvm/tuner/sa_model_optimizer.py

@@ -28,7 +28,7 @@
 from ..utils import sample_ints
 from .model_based_tuner import ModelOptimizer, knob2point, point2knob
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 class SimulatedAnnealingOptimizer(ModelOptimizer):

python/tvm/autotvm/tuner/tuner.py

@@ -26,7 +26,7 @@
 
 from ..env import GLOBAL_SCOPE
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 class Tuner(object):

python/tvm/autotvm/tuner/xgboost_cost_model.py

@@ -31,7 +31,7 @@
 
 xgb = None
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 class XGBoostCostModel(CostModel):

python/tvm/autotvm/utils.py

@@ -26,7 +26,7 @@
 from tvm.tir import expr
 from tvm.contrib.popen_pool import PopenPoolExecutor
 
-logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
 
 
 class EmptyContext(object):

python/tvm/contrib/cutlass/build.py

@@ -26,7 +26,7 @@
 from .gen_conv2d import CutlassConv2DProfiler
 from .library import ConvKind
 
-logger = logging.getLogger("cutlass")
+logger = logging.getLogger(__name__)
 
 
 def _get_cutlass_path():

python/tvm/contrib/cutlass/gen_tensor_op.py

@@ -30,7 +30,7 @@
     EpilogueFunctor,
 )
 
-logger = logging.getLogger("cutlass")
+logger = logging.getLogger(__name__)
 
 
 dtype_map = {

python/tvm/contrib/download.py

@@ -23,7 +23,7 @@
 import tempfile
 import time
 
-LOG = logging.getLogger("download")
+LOG = logging.getLogger(__name__)
 
 
 def download(url, path, overwrite=False, size_compare=False, retries=3):

python/tvm/driver/tvmc/autotuner.py

@@ -43,7 +43,7 @@
 
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 
 @register_parser

python/tvm/driver/tvmc/compiler.py

@@ -39,7 +39,7 @@
 from .shape_parser import parse_shape_string
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 
 @register_parser

python/tvm/driver/tvmc/composite_target.py

@@ -35,7 +35,7 @@
 
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 
 # Global dictionary to map targets

python/tvm/driver/tvmc/frontends.py

@@ -36,7 +36,7 @@
 
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 
 class Frontend(ABC):

python/tvm/driver/tvmc/main.py

@@ -88,7 +88,7 @@ def _main(argv):
     if args.verbose > 4:
         args.verbose = 4
 
-    logging.getLogger("TVMC").setLevel(40 - args.verbose * 10)
+    logging.getLogger("tvm.driver.tvmc").setLevel(40 - args.verbose * 10)
 
     if args.version:
         sys.stdout.write("%s\n" % tvm.__version__)

python/tvm/driver/tvmc/runner.py

@@ -56,7 +56,7 @@
     SUPPORT_MICRO = False
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 
 @register_parser

python/tvm/driver/tvmc/target.py

@@ -32,7 +32,7 @@
 from tvm.target import Target, TargetKind
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 # We can't tell the type inside an Array but all current options are strings so
 # it can default to that. Bool is used alongside Integer but aren't distinguished

python/tvm/driver/tvmc/tracker.py

@@ -21,7 +21,7 @@
 from urllib.parse import urlparse
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("TVMC")
+logger = logging.getLogger(__name__)
 
 
 def tracker_host_port_from_cli(rpc_tracker_str):

python/tvm/relay/backend/contrib/ethosu/vela_api.py

@@ -32,7 +32,7 @@
 from tvm.relay.backend.contrib.ethosu import tir_to_cs_translator as tirtocs
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("Ethos-U")
+logger = logging.getLogger(__name__)
 
 VELA_TO_NP_DTYPES = {
     vapi.NpuDataType.UINT8: np.uint8,

python/tvm/relay/backend/te_compiler.py

@@ -30,8 +30,8 @@
 from .. import ty as _ty
 from . import _backend
 
-logger = logging.getLogger("te_compiler")
-autotvm_logger = logging.getLogger("autotvm")
+logger = logging.getLogger(__name__)
+autotvm_logger = logging.getLogger(__name__)
 
 _first_warning = True
 

python/tvm/relay/frontend/common.py

@@ -44,7 +44,7 @@ def filter(self, record):
 
 
 # pylint: disable=invalid-name
-logger = logging.getLogger("Frontend")
+logger = logging.getLogger(__name__)
 logger.addFilter(DuplicateFilter())
 # Uncomment below line to print all debug msgs
 # logger.setLevel(logging.DEBUG)

python/tvm/relay/op/contrib/dnnl.py

@@ -44,7 +44,7 @@
 from ...dataflow_pattern import wildcard, is_op
 from .register import register_pattern_table
 
-logger = logging.getLogger("DNNL")
+logger = logging.getLogger(__name__)
 
 
 def _register_external_op_helper(op_name, supported=True):

python/tvm/relay/op/contrib/tensorrt.py

@@ -29,7 +29,7 @@
 from tvm.relay.expr_functor import ExprMutator, ExprVisitor
 from tvm.relay.op.contrib.register import register_pattern_table
 
-logger = logging.getLogger("TensorRT")
+logger = logging.getLogger(__name__)
 supported_types = ["float32", "float16"]