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fixing typos in src/plugins/intel_cpu/src/transformations (#18016)

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This commit is contained in:
Wang Kai
2023-06-13 00:19:46 +04:00
committed by GitHub
parent 0743e9bfb5
commit 2d5e087b8b
4 changed files with 5 additions and 5 deletions
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src/plugins/intel_cpu/src/transformations/cpu_opset/arm/pass/convert_group_conv1d.hpp
+1 -1
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@@ -10,7 +10,7 @@
* ConvertConv1DBase detects 1D Convolution / GroupConvolution and replaces * ConvertConv1DBase detects 1D Convolution / GroupConvolution and replaces
* it with the sequence Unsqueeze - 2D Convolution / GroupConvolution - Squeeze. * it with the sequence Unsqueeze - 2D Convolution / GroupConvolution - Squeeze.
* Unsqueeze adds the additional dimension to Convolution inputs and Squeeze * Unsqueeze adds the additional dimension to Convolution inputs and Squeeze
* removes the additional dimention from the Convolution output. * removes the additional dimension from the Convolution output.
* *
* Before: * Before:
* *
src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/convert_fq_rnn_to_quantized_rnn.cpp
+1 -1
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@@ -104,7 +104,7 @@ ov::intel_cpu::ConvertFqRnnToQuantizedRnn::ConvertFqRnnToQuantizedRnn() {
const auto& cell_state = pattern_map.at(cell_state_m); const auto& cell_state = pattern_map.at(cell_state_m);
const auto& sequence_length = pattern_map.at(sequence_length_m); const auto& sequence_length = pattern_map.at(sequence_length_m);
// @todo prototype removal of unnecessary fq between two consequtive rnn nodes // @todo prototype removal of unnecessary fq between two consecutive rnn nodes
auto rnn_quantized_tr = std::make_shared<op::TypeRelaxed<ngraph::opset9::LSTMSequence>>( auto rnn_quantized_tr = std::make_shared<op::TypeRelaxed<ngraph::opset9::LSTMSequence>>(
element::TypeVector{ element::f32, element::f32, element::f32, element::f32, element::f32, element::f32, element::f32 }, element::TypeVector{ element::f32, element::f32, element::f32, element::f32, element::f32, element::f32, element::f32 },
element::TypeVector{ element::f32, element::f32, element::f32 }, element::TypeVector{ element::f32, element::f32, element::f32 },
src/plugins/intel_cpu/src/transformations/cpu_opset/common/pass/fc_bias_fusion.cpp
+2 -2
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@@ -76,9 +76,9 @@ ov::intel_cpu::NonQuantizedFullyConnectedBiasFusion::NonQuantizedFullyConnectedB
this->register_matcher(m, callback); this->register_matcher(m, callback);
} }
//CPU plugin would config LPT not to propogate dequantization scale over bias to follow ONEDNN 3.x scheme. //CPU plugin would config LPT not to propagate dequantization scale over bias to follow ONEDNN 3.x scheme.
//It is a little tricky now to first fuse bias not DQ for pattern "FC + DQ + BIAS". //It is a little tricky now to first fuse bias not DQ for pattern "FC + DQ + BIAS".
//todo: Will move the FullyConnnect fusing into CPU and fuse the DQ and BIAS in topology order. //todo: Will move the FullyConnect fusing into CPU and fuse the DQ and BIAS in topology order.
ov::intel_cpu::QuantizedFullyConnectedBiasFusion::QuantizedFullyConnectedBiasFusion() { ov::intel_cpu::QuantizedFullyConnectedBiasFusion::QuantizedFullyConnectedBiasFusion() {
MATCHER_SCOPE(FullyConnectedBiasFusion); MATCHER_SCOPE(FullyConnectedBiasFusion);
auto input = ngraph::pattern::any_input(); auto input = ngraph::pattern::any_input();
src/plugins/intel_cpu/src/transformations/cpu_opset/convert_to_cpu_specific_opset.hpp
+1 -1
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@@ -43,7 +43,7 @@ inline void ConvertToCPUSpecificOpset(std::shared_ptr<ngraph::Function> &nGraphF
if (!ov::op::util::has_op_with_type<ngraph::op::FakeQuantize>(nGraphFunc)) { if (!ov::op::util::has_op_with_type<ngraph::op::FakeQuantize>(nGraphFunc)) {
CPU_REGISTER_PASS_COMMON(manager, ReshapeFullyConnectedFusion); CPU_REGISTER_PASS_COMMON(manager, ReshapeFullyConnectedFusion);
} }
// after transformation "MoveEltwiseUpThroughDataMov" there can be Reshape sequences that should be eliminated or fused // after transformation "MoveEltwiseUpThroughDataMov" there can be reshaped sequences that should be eliminated or fused
CPU_REGISTER_PASS_COMMON(manager, ov::pass::ReshapeSequenceFusion); CPU_REGISTER_PASS_COMMON(manager, ov::pass::ReshapeSequenceFusion);
CPU_REGISTER_PASS_COMMON(manager, ov::pass::ConstantFolding); CPU_REGISTER_PASS_COMMON(manager, ov::pass::ConstantFolding);
CPU_REGISTER_PASS_COMMON(manager, ov::pass::ConvertPrecision, precisions_map {{ ngraph::element::i64, ngraph::element::i32 }}); CPU_REGISTER_PASS_COMMON(manager, ov::pass::ConvertPrecision, precisions_map {{ ngraph::element::i64, ngraph::element::i32 }});