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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/07/15 06:55:58 UTC

[GitHub] [incubator-mxnet] sfraczek commented on a change in pull request #20430: [FEATURE] Asymmetric fc fc

sfraczek commented on a change in pull request #20430:
URL: https://github.com/apache/incubator-mxnet/pull/20430#discussion_r670185458



##########
File path: src/operator/quantization/quantize_graph_pass.h
##########
@@ -0,0 +1,155 @@
+/*
+ * 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.
+ */
+
+/*!
+ *  Copyright (c) 2021 by Contributors
+ * \file quantize_graph_pass.h
+ * \brief
+ */
+#ifndef MXNET_OPERATOR_QUANTIZATION_QUANTIZE_GRAPH_PASS_H_
+#define MXNET_OPERATOR_QUANTIZATION_QUANTIZE_GRAPH_PASS_H_
+
+#include <mxnet/op_attr_types.h>
+#include <nnvm/graph.h>
+#include <nnvm/pass.h>
+#include <queue>
+#include <unordered_map>
+#include <unordered_set>
+#include <vector>
+#include <string>
+#include "quantize_v2-inl.h"
+#include "../nn/mkldnn/mkldnn_fully_connected-inl.h"
+#include "../../common/utils.h"
+
+namespace mxnet {
+namespace op {
+
+using nnvm::Symbol;
+using nnvm::Node;
+using nnvm::ObjectPtr;
+using nnvm::NodeEntry;
+using nnvm::Graph;
+
+inline ObjectPtr CreateNode(std::string op_name, std::string node_name) {
+  ObjectPtr node = Node::Create();
+  node->attrs.name = node_name;
+  if (op_name == "nullptr") {
+    node->attrs.op = nullptr;
+    // ugly workaround because VariableParam is not exposed
+    node->attrs.parsed =
+      nnvm::Symbol::CreateVariable(node->attrs.name).outputs[0].node->attrs.parsed;
+  } else {
+    node->attrs.op = Op::Get(op_name);
+  }
+  return node;
+}
+
+template <bool require_bias>
+static inline bool IsOneDNNFullyConnected(const ObjectPtr& n) {
+#if MXNET_USE_MKLDNN == 1
+  if (n->op() == Op::Get("_sg_mkldnn_fully_connected")) {
+    auto const& param = nnvm::get<MKLDNNFCFullParam>(n->attrs.parsed);
+    if (!(param.mkldnn_param.channel_wise_quantize.has_value() &&
+          param.mkldnn_param.channel_wise_quantize.value())) {
+      return !require_bias || (param.default_param.no_bias == false &&
+                               n->inputs[2].node->is_variable());
+    }
+  }
+#endif
+  return false;
+}
+
+static inline bool IsQuantize(const ObjectPtr& n) {
+  if (n->op() == Op::Get("_contrib_quantize_v2")) {
+    auto const &param = nnvm::get<QuantizeV2Param>(n->attrs.parsed);
+    if (param.min_calib_range.has_value() &&
+        param.min_calib_range.value() < 0.0f) {
+      return true;
+    }
+  }
+  return false;
+}
+
+static NDArray* FindInArgByName(const Graph &g, const std::string& name) {
+  const std::vector<std::string>& in_arg_names =
+      g.GetAttr<std::vector<std::string>>("in_arg_names");
+  size_t i = std::distance(in_arg_names.begin(),
+                           std::find(in_arg_names.begin(), in_arg_names.end(), name));
+  if (i == in_arg_names.size()) {
+    LOG(FATAL) << name << " not found in in_arg_names";
+  }
+  return g.GetAttr<NDArray **>("in_args")[i];
+}
+
+// Rescales weights, min_weight and max_weight. Returns bias_int32_rescale.
+static inline float RescaleWeights(const Graph &g, const ObjectPtr &fc, NDArray* weight_tensor) {
+  ObjectPtr &quantize = fc->inputs[0].node;
+  auto min_data = std::stof(quantize->attrs.dict.at("min_calib_range"));
+  auto max_data = std::stof(quantize->attrs.dict.at("max_calib_range"));
+
+  FCInputIndex id(nnvm::get<MKLDNNFCFullParam>(fc->attrs.parsed));

Review comment:
       But code in lines 109&110 will have 101 columns and formatter does hideous things with it so I would appreciate a suggestion how to break it if I am supposed to make it "idx".




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