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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/06/07 19:44:44 UTC
[GitHub] [tvm] AndrewZhaoLuo commented on a change in pull request #8069: [Relay] [Pass] Add FP16 model conversion pass
AndrewZhaoLuo commented on a change in pull request #8069:
URL: https://github.com/apache/tvm/pull/8069#discussion_r646890115
##########
File path: python/tvm/relay/transform/transform.py
##########
@@ -1145,6 +1144,21 @@ def AnnotateSpans():
Returns
-------
ret : tvm.transform.Pass
- The regsistered AnnotateSpans pass.
+ The registered AnnotateSpans pass.
"""
return _ffi_api.AnnotateSpans()
+
+
+def RewriteFP16():
Review comment:
Good idea. Done.
##########
File path: src/relay/transforms/fp32_to_fp16.h
##########
@@ -0,0 +1,232 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file fp32_to_fp16.h
+ * \brief Utilities and common types used for FP32->FP16 pass.
+ */
+#ifndef TVM_RELAY_TRANSFORMS_FP32_TO_FP16_H_
+#define TVM_RELAY_TRANSFORMS_FP32_TO_FP16_H_
+
+#include <tvm/ir/op.h>
+#include <tvm/relay/expr.h>
+#include <tvm/relay/function.h>
+
+#include <string>
+#include <unordered_map>
+#include <unordered_set>
+#include <utility>
+#include <vector>
+
+namespace tvm {
+namespace relay {
+
+struct FP16OpDType {
+ DataType accumulation_dtype;
+ DataType output_dtype;
+};
+
+// GREEN colored ops should always be done in FP16 due to the speed and memory savings
+// GRAY colored ops can be done in FP16 but don't have speedups to justify a dedicated cast.
+// RED colored ops should not be done in FP16 due to numerical reasons.
+enum FP16ConversionCategory { RED, GRAY, GREEN };
+
+using OpStringSet = std::unordered_set<std::string>;
+
+// Default lists inspired from TF's classifications:
+// github.com/tensorflow/tensorflow/blob/v2.5.0/tensorflow/core/grappler/optimizers/auto_mixed_precision_lists.h
+// They have a bias toward Nvidia Tensor Cores so modify lists per your hardware choice.
+OpStringSet DEFAULT_GREEN_LIST({
+ "nn.conv1d",
+ "nn.conv2d",
+ "nn.conv3d",
+ "nn.conv1d_transpose",
+ "nn.conv2d_transpose",
+ "nn.conv3d_transpose",
+ "nn.dense",
+ "nn.batch_matmul",
+});
+OpStringSet DEFAULT_GRAY_LIST({
+ // These ops add new data or change shape
+ "nn.pad",
+ "nn.batch_flatten",
+ "concatenate",
+ "zeros",
+ "split",
+ "squeeze",
+ "transpose",
+ "expand_dims",
+ "reshape",
+ "dyn.reshape",
+ "broadcast_to_like",
+ "dyn.broadcast_to",
+ "strided_slice",
+ "dyn.strided_slice",
+ "take",
+ "argwhere",
+ "where",
+ "tile",
+ "dyn.tile",
+ "scatter",
+ "full",
+ "dyn.full",
+ // Comparison
+ "less",
+ "greater",
+ "less_equal",
+ "greater_equal",
+ // By definition copy and cast will become green or red based on inputs
+ "copy",
+ "cast",
+ "cast_like",
+ // Simple arithmetic
+ "add",
+ "subtract",
+ "multiply",
+ "divide",
+ "nn.bias_add",
+ "nn.batch_norm",
+ "sum",
+ "mean",
+ "sqrt",
+ "shape_of",
+ // Simple activations
+ "max",
+ "min",
+ "maximum",
+ "minimum",
+ "nn.relu",
+ "nn.leaky_relu",
+ "nn.prelu",
+ "nn.dropout",
+ // Complicated activations which saturate in a narrow range
+ "sigmoid",
+ "tanh",
+ // Pooling operations
+ "nn.max_pool1d",
+ "nn.max_pool2d",
+ "nn.max_pool3d",
+ "nn.avg_pool1d",
+ "nn.avg_pool2d",
+ "nn.avg_pool3d",
+ // "nn.global_max_pool1d", // does not exist yet
+ "nn.global_max_pool2d",
+ // "nn.global_max_pool3d", // does not exist yet
+ // "nn.global_avg_pool1d", // does not exist yet
+ "nn.global_avg_pool2d",
+ // "nn.global_avg_pool3d", // does not exist yet
+ "nn.adaptive_max_pool1d",
+ "nn.adaptive_max_pool2d",
+ "nn.adaptive_max_pool3d",
+ "nn.adaptive_avg_pool1d",
+ "nn.adaptive_avg_pool2d",
+ "nn.adaptive_avg_pool3d",
+});
+OpStringSet DEFAULT_RED_LIST({
+ // In general if |f(x)| >> |x| for expected inputs then put the op here.
+ "exp",
+ "power",
+ "nn.cross_entropy",
+ "nn.cross_entropy_with_logits",
+ "nn.softmax",
+ "nn.l2_normalize",
+ // Error function doesn't seem to be able to be lowered into fp16 version in llvm.
+ // Move to gray list when it does.
+ "erf",
+});
+
+class DefaultFP16Colorer {
+ /* The default class to initially color ops for conversion using lists.
+
+ Creates a callable which given a CallNode* returns the node's color.
+ */
+ private:
+ std::unordered_map<std::string, FP16ConversionCategory> op_to_initial_color;
+
+ public:
+ DefaultFP16Colorer(OpStringSet red_list = DEFAULT_RED_LIST,
+ OpStringSet gray_list = DEFAULT_GRAY_LIST,
+ OpStringSet green_list = DEFAULT_GREEN_LIST) {
+ std::vector<std::pair<OpStringSet, FP16ConversionCategory>> lists_and_colors{
+ {red_list, RED}, {gray_list, GRAY}, {green_list, GREEN}};
+
+ for (auto list_and_color : lists_and_colors) {
+ OpStringSet ops = list_and_color.first;
+ FP16ConversionCategory color = list_and_color.second;
+ for (std::string op_name : ops) {
+ op_to_initial_color.insert({{op_name, color}});
+ }
+ }
+ }
+
+ FP16ConversionCategory operator()(const CallNode* call, bool ignore_missing = true) {
+ if (auto* op_node = (call->op).as<tvm::OpNode>()) {
+ std::string op_name = op_node->name;
+ auto color = op_to_initial_color.find(op_name);
+
+ if (color == op_to_initial_color.end()) {
+ if (ignore_missing) {
+ LOG(WARNING) << "Op name " << op_name << " not in included in fp16 conversion lists!.";
Review comment:
Done
##########
File path: src/relay/transforms/fp32_to_fp16.h
##########
@@ -0,0 +1,232 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file fp32_to_fp16.h
+ * \brief Utilities and common types used for FP32->FP16 pass.
+ */
+#ifndef TVM_RELAY_TRANSFORMS_FP32_TO_FP16_H_
+#define TVM_RELAY_TRANSFORMS_FP32_TO_FP16_H_
+
+#include <tvm/ir/op.h>
+#include <tvm/relay/expr.h>
+#include <tvm/relay/function.h>
+
+#include <string>
+#include <unordered_map>
+#include <unordered_set>
+#include <utility>
+#include <vector>
+
+namespace tvm {
+namespace relay {
+
+struct FP16OpDType {
+ DataType accumulation_dtype;
+ DataType output_dtype;
+};
+
+// GREEN colored ops should always be done in FP16 due to the speed and memory savings
+// GRAY colored ops can be done in FP16 but don't have speedups to justify a dedicated cast.
+// RED colored ops should not be done in FP16 due to numerical reasons.
+enum FP16ConversionCategory { RED, GRAY, GREEN };
+
+using OpStringSet = std::unordered_set<std::string>;
+
+// Default lists inspired from TF's classifications:
+// github.com/tensorflow/tensorflow/blob/v2.5.0/tensorflow/core/grappler/optimizers/auto_mixed_precision_lists.h
+// They have a bias toward Nvidia Tensor Cores so modify lists per your hardware choice.
+OpStringSet DEFAULT_GREEN_LIST({
+ "nn.conv1d",
+ "nn.conv2d",
+ "nn.conv3d",
+ "nn.conv1d_transpose",
+ "nn.conv2d_transpose",
+ "nn.conv3d_transpose",
+ "nn.dense",
+ "nn.batch_matmul",
+});
+OpStringSet DEFAULT_GRAY_LIST({
+ // These ops add new data or change shape
+ "nn.pad",
+ "nn.batch_flatten",
+ "concatenate",
+ "zeros",
+ "split",
+ "squeeze",
+ "transpose",
+ "expand_dims",
+ "reshape",
+ "dyn.reshape",
+ "broadcast_to_like",
+ "dyn.broadcast_to",
+ "strided_slice",
+ "dyn.strided_slice",
+ "take",
+ "argwhere",
+ "where",
+ "tile",
+ "dyn.tile",
+ "scatter",
+ "full",
+ "dyn.full",
+ // Comparison
+ "less",
+ "greater",
+ "less_equal",
+ "greater_equal",
+ // By definition copy and cast will become green or red based on inputs
+ "copy",
+ "cast",
+ "cast_like",
+ // Simple arithmetic
+ "add",
+ "subtract",
+ "multiply",
+ "divide",
+ "nn.bias_add",
+ "nn.batch_norm",
+ "sum",
+ "mean",
+ "sqrt",
+ "shape_of",
+ // Simple activations
+ "max",
+ "min",
+ "maximum",
+ "minimum",
+ "nn.relu",
+ "nn.leaky_relu",
+ "nn.prelu",
+ "nn.dropout",
+ // Complicated activations which saturate in a narrow range
+ "sigmoid",
+ "tanh",
+ // Pooling operations
+ "nn.max_pool1d",
+ "nn.max_pool2d",
+ "nn.max_pool3d",
+ "nn.avg_pool1d",
+ "nn.avg_pool2d",
+ "nn.avg_pool3d",
+ // "nn.global_max_pool1d", // does not exist yet
+ "nn.global_max_pool2d",
+ // "nn.global_max_pool3d", // does not exist yet
+ // "nn.global_avg_pool1d", // does not exist yet
+ "nn.global_avg_pool2d",
+ // "nn.global_avg_pool3d", // does not exist yet
+ "nn.adaptive_max_pool1d",
+ "nn.adaptive_max_pool2d",
+ "nn.adaptive_max_pool3d",
+ "nn.adaptive_avg_pool1d",
+ "nn.adaptive_avg_pool2d",
+ "nn.adaptive_avg_pool3d",
+});
+OpStringSet DEFAULT_RED_LIST({
+ // In general if |f(x)| >> |x| for expected inputs then put the op here.
+ "exp",
+ "power",
+ "nn.cross_entropy",
+ "nn.cross_entropy_with_logits",
+ "nn.softmax",
+ "nn.l2_normalize",
+ // Error function doesn't seem to be able to be lowered into fp16 version in llvm.
+ // Move to gray list when it does.
+ "erf",
+});
+
+class DefaultFP16Colorer {
+ /* The default class to initially color ops for conversion using lists.
+
+ Creates a callable which given a CallNode* returns the node's color.
+ */
+ private:
+ std::unordered_map<std::string, FP16ConversionCategory> op_to_initial_color;
+
+ public:
+ DefaultFP16Colorer(OpStringSet red_list = DEFAULT_RED_LIST,
+ OpStringSet gray_list = DEFAULT_GRAY_LIST,
+ OpStringSet green_list = DEFAULT_GREEN_LIST) {
+ std::vector<std::pair<OpStringSet, FP16ConversionCategory>> lists_and_colors{
+ {red_list, RED}, {gray_list, GRAY}, {green_list, GREEN}};
+
+ for (auto list_and_color : lists_and_colors) {
+ OpStringSet ops = list_and_color.first;
+ FP16ConversionCategory color = list_and_color.second;
+ for (std::string op_name : ops) {
+ op_to_initial_color.insert({{op_name, color}});
+ }
+ }
+ }
+
+ FP16ConversionCategory operator()(const CallNode* call, bool ignore_missing = true) {
+ if (auto* op_node = (call->op).as<tvm::OpNode>()) {
+ std::string op_name = op_node->name;
+ auto color = op_to_initial_color.find(op_name);
+
+ if (color == op_to_initial_color.end()) {
+ if (ignore_missing) {
+ LOG(WARNING) << "Op name " << op_name << " not in included in fp16 conversion lists!.";
+ return RED;
+ } else {
+ LOG(FATAL) << "Op name " << op_name << " not in included in fp16 lists!.";
Review comment:
Done
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