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@@ -241,7 +241,22 @@ Status HybridModelAsyncExecutor::PrepareInputs(const InputData ¤t_data, Hy |
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return PARAM_INVALID; |
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} |
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auto &tensor_desc = input_tensor_desc_[input_index]; |
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tensor_desc->SetShape(GeShape(current_data.shapes[input_index])); |
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GeShape shape(current_data.shapes[input_index]); |
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std::vector<std::pair<int64_t, int64_t>> range; |
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auto range_ret = tensor_desc->GetShapeRange(range); |
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GE_CHK_BOOL_RET_STATUS(range_ret == GRAPH_SUCCESS, INTERNAL_ERROR, |
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"Get shape range failed, ret=%u.", range_ret); |
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for (size_t k = 0; k < range.size(); ++k) { |
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if (k >= shape.GetDimNum()) { |
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break; |
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} |
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if (shape.GetDim(k) < range[k].first || shape.GetDim(k) > range[k].second) { |
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GELOGE(PARAM_INVALID, "Dim out of range, shape idx = %zu, dim idx = %zu, dim = %ld, range = [%ld, %ld]", |
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input_index, k, shape.GetDim(k), range[k].first, range[k].second); |
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return PARAM_INVALID; |
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} |
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} |
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tensor_desc->SetShape(shape); |
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args.input_desc[input_index] = tensor_desc; |
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GELOGD("Update shape of input[%zu] to [%s]", input_index, tensor_desc->MutableShape().ToString().c_str()); |
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GE_CHK_GRAPH_STATUS_RET(TensorUtils::GetTensorMemorySizeInBytes(*tensor_desc, tensor_size), |
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