[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4295: [Relay][Quantize] Integrate data-aware calibration into quantization

[GitBox <gi...@apache.org>]

anijain2305 commented on a change in pull request #4295: [Relay][Quantize] Integrate data-aware calibration into quantization
URL: https://github.com/apache/incubator-tvm/pull/4295#discussion_r344943389
 
 

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 File path: python/tvm/relay/quantize/_calibrate.py
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Find scales for quantization on the dataset."""
+from __future__ import absolute_import
+import logging
+import multiprocessing as mp
+import numpy as np
+import tvm
+
+from . import _quantize
+from . import quantize
+from .. import op as _op
+from .. import expr as _expr
+from .. import module as _module
+from .. import analysis as _analysis
+from .. import transform as _transform
+from .. import build_module as _build_module
+from ...contrib import graph_runtime
+from .kl_divergence import _find_scale_by_kl
+
+
+def collect_stats(mod, dataset):
+    """Given an annotated graph, create a profile graph to collect profile data from the
+    calibration dataset. This pass collects simulated_quantize op input into a tuple.
+    Simulated_quantize ops are rewritten to identity mode. The tuple is the output of the profile
+    graph.
+
+    Parameters
+    ----------
+    graph: Function
+        The simulation graph after annotation.
+
+    Returns
+    -------
+    ret: Function
+        The profile graph which outputs a tuple of profile data.
+    """
+    logging.info("collecting statistics for calibration...")
 
 Review comment:
   Nit - Blank line before here.

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