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remove slowing down pass (#43750)
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lidanqing-intel authored Jun 23, 2022
1 parent 9d12e70 commit 096eb80
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Showing 3 changed files with 17 additions and 2 deletions.
13 changes: 12 additions & 1 deletion paddle/fluid/inference/api/paddle_pass_builder.cc
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
#include <miopen/miopen.h>
#endif
#include <glog/logging.h>
#include <algorithm>
#include <sstream>

namespace paddle {
Expand Down Expand Up @@ -60,6 +61,12 @@ void PaddlePassBuilder::DeletePass(const std::string &pass_type) {
}
}

size_t PaddlePassBuilder::GetPassIndex(const std::string &pass_type) {
auto iter = std::find(std::begin(passes_), std::end(passes_), pass_type);
if (iter == std::end(passes_)) return -1;
return std::distance(std::begin(passes_), iter);
}

void PaddlePassBuilder::InsertPass(size_t idx, const std::string &pass_type) {
passes_.insert(std::begin(passes_) + idx, pass_type);
}
Expand Down Expand Up @@ -268,7 +275,11 @@ void CpuPassStrategy::EnableMKLDNN() {
#ifdef PADDLE_WITH_MKLDNN
if (!use_mkldnn_) {
passes_.insert(passes_.begin(), "mkldnn_placement_pass");

int id = GetPassIndex("gpu_cpu_reshape2_matmul_fuse_pass");
// this pass slows down FC mkldnn int8 operator
if (id != -1) {
passes_.erase(passes_.begin() + id);
}
for (auto &pass : std::vector<std::string>({
"depthwise_conv_mkldnn_pass", //
"conv_bn_fuse_pass", // Execute BN passes again to
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4 changes: 4 additions & 0 deletions paddle/fluid/inference/api/paddle_pass_builder.h
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Expand Up @@ -75,6 +75,10 @@ class PD_INFER_DECL PaddlePassBuilder {
/// \param[in] pass_type the certain pass type to be deleted.
void DeletePass(const std::string &pass_type);

/// \brief Get the certain position of a pass.
// \param[in] pass_type the type of insert pass.
size_t GetPassIndex(const std::string &pass_type);

/// \brief Delete all the passes.
void ClearPasses();

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Original file line number Diff line number Diff line change
Expand Up @@ -411,7 +411,7 @@ def _optimize_fp32_graph(self, graph):
graph = self._apply_pass(graph, 'multi_gru_seq_fuse_pass')
graph = self._apply_pass(graph, 'seq_concat_fc_fuse_pass')
graph = self._apply_pass(graph, 'gpu_cpu_squeeze2_matmul_fuse_pass')
graph = self._apply_pass(graph, 'gpu_cpu_reshape2_matmul_fuse_pass')
#graph = self._apply_pass(graph, 'gpu_cpu_reshape2_matmul_fuse_pass')
graph = self._apply_pass(graph, 'gpu_cpu_flatten2_matmul_fuse_pass')
graph = self._apply_pass(graph, 'matmul_v2_scale_fuse_pass')
graph = self._apply_pass(graph, 'squared_mat_sub_fuse_pass')
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