【Infer Symbolic Shape No.124】【BUAA】Add bmm, changed 3 files #67431
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你的PR提交成功，感谢你对开源项目的贡献! |
luotao1
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| auto cal_shape_fn = [](const symbol::DimExpr &x, | ||
| const symbol::DimExpr &y, | ||
| const std::string &error_str) -> symbol::DimExpr { | ||
| if (x == -1) { | ||
| return y; | ||
| } else if (y == -1) { | ||
| return x; | ||
| } | ||
| PADDLE_ENFORCE_EQ(x, y, common::errors::InvalidArgument(error_str, x, y)); | ||
| return x; | ||
| }; |
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DimExpr不可能为-1，这段逻辑是想给两个DimExpr加约束
| "in BmmOp, but received Y's shape: [%d].", | ||
| y_ndims)); | ||
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| auto cal_shape_fn = [](const symbol::DimExpr &x, |
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删掉这个lambda表达式，调用cal_shape_fn的地方都使用 addequalcstr
| return x; | ||
| }; | ||
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| cal_shape_fn(x_dims[2], |
| y_dims[1], | ||
| "Input(X)'s width must be equal with Input(Y)'s height in " | ||
| "BmmOp, but receive X's width: [%d], Y's height: [%d]."); | ||
| symbol::DimExpr batch_size = cal_shape_fn( |
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同上，batch_size 直接取其中一个Dim就行
| const auto &y_shape_or_data = | ||
| infer_context->GetShapeOrDataForValue(op->operand_source(1)); | ||
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| const std::vector<symbol::DimExpr> &x_dims = x_shape_or_data.shape(); |
| infer_context->GetShapeOrDataForValue(op->operand_source(1)); | ||
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| const std::vector<symbol::DimExpr> &x_dims = x_shape_or_data.shape(); | ||
| const std::vector<symbol::DimExpr> &y_dims = y_shape_or_data.shape(); |
Hongqing-work
previously approved these changes
Aug 23, 2024
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冲突了 |
35 tasks
This was referenced Sep 5, 2024
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PR Category
CINN
PR Types
Others
Description
加入bmm, broadcast_tensors:
paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/binary_infer_sym.cc
paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/binary_infer_sym.h
paddle/phi/ops/yaml/ops.yaml
本地测试pir=True且通过