forked from mindspore-Ecosystem/mindspore
!31538 [MSLITE] clean code checker: magic number and format
Merge pull request !31538 from 刘力力/master
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commit
9a5e8c4048
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@ -14,15 +14,17 @@
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* limitations under the License.
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*/
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#include "nnacl/op_base.h"
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#include "experiment/kernel/convolution_fp32.h"
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namespace mindspore::kernel {
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ConvolutionCPUFp32::ConvolutionCPUFp32(OpParameter *parameter, std::vector<lite::Tensor *> in_tensors,
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std::vector<lite::Tensor *> out_tensors, const lite::Context *ctx)
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: InnerKernel(parameter, in_tensors, out_tensors, ctx) {
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TensorC *in[4];
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TensorC *in[C4NUM];
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size_t insize = 0;
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for (; insize < in_tensors.size() && insize < 4; insize++) {
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for (; insize < in_tensors.size() && insize < C4NUM; insize++) {
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in[insize] = &in_tensors[insize]->TensorC();
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}
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@ -56,5 +58,4 @@ int ConvolutionCPUFp32::PreProcess() {
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int ConvolutionCPUFp32::Run() { return kernel->compute(kernel); }
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int ConvolutionCPUFp32::PostProcess() { return kernel->compute(kernel); }
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} // namespace mindspore::kernel
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@ -250,7 +250,7 @@ int GruCPUKernel::Run() {
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int check_seq_len = gru_param_->seq_len_;
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if (in_tensors_.size() == 6) {
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auto seq_len = reinterpret_cast<int *>(in_tensors_.at(5)->data());
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auto seq_len = reinterpret_cast<int *>(in_tensors_.at(DIMENSION_5D)->data());
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CHECK_NULL_RETURN(seq_len);
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if (!std::equal(seq_len + 1, seq_len + gru_param_->batch_, seq_len)) {
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MS_LOG(ERROR) << "different batch seq_len is currently not supported";
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