forked from mindspore-Ecosystem/mindspore
modify info-log to debug-info in running-time
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4ff1e7a048
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4665c39bdd
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@ -1078,7 +1078,7 @@ int LiteSession::ReSizeKernels(const std::vector<kernel::KernelExec *> &kernels,
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}
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}
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if (ret == RET_INFER_INVALID) {
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MS_LOG(INFO) << "InferShape is interrupted";
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MS_LOG(DEBUG) << "InferShape is interrupted";
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continue;
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}
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if (ret != RET_OK) {
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@ -114,9 +114,9 @@ int SubGraphKernel::ReSize() {
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ret = lite::KernelInferShape(inputs, outputs, parameter, context_->allocator);
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}
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if (ret == RET_INFER_INVALID) {
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MS_LOG(INFO) << "InferShape shouldn't be done before runtime, type:"
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<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(kernel->type()))
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<< "flag set to false.";
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MS_LOG(DEBUG) << "InferShape shouldn't be done before runtime, type:"
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<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(kernel->type()))
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<< "flag set to false.";
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} else if (ret != RET_OK) {
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MS_LOG(ERROR) << "InferShape failed, type: "
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<< schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(kernel->type()));
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@ -253,7 +253,7 @@ size_t Tensor::Size() const {
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}
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auto element_num = (format_ == mindspore::NC4HW4 || format_ == mindspore::NHWC4) ? ElementsC4Num() : ElementsNum();
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if (element_num <= 0) {
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MS_LOG(INFO) << "Element number of tensor should large than 0 : " << element_num << ", shape: " << shape_;
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MS_LOG(DEBUG) << "Element number of tensor should large than 0 : " << element_num << ", shape: " << shape_;
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return 0;
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}
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return element_size * static_cast<size_t>(element_num);
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