[PIR] Configure support_trans_dtype for ops.yaml according to phi op/dygraph #60844
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paddle/phi/api/yaml/op_compat.yaml
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| complex_promote : [X, Y] | ||
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| - op : add_grad (elementwise_add_grad), add_double_grad (elementwise_add_grad_grad), add_triple_grad (elementwise_add_triple_grad) | ||
| complex_promote : [x, y, out_grad] |
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原始静态图逻辑仅仅根据out_grad选kernel的dtype，这里修改后改变了原来的逻辑
phi::KernelKey GetExpectedKernelType(
const framework::ExecutionContext &ctx) const override {
auto input_data_type = OperatorWithKernel::IndicateVarDataType(
ctx, framework::GradVarName("Out"));
return phi::KernelKey(input_data_type, ctx.GetPlace());
}
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chen2016013
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zhangbo9674
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Jan 18, 2024
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Description
Pcard-67164
在yaml中为op配置complex_promote and support_trans_dtype ，对齐动态图和旧IR逻辑，参考paddle/fluid/pybind/eager_math_op_patch.cc和phi::KernelKey GetKernelTypeForVar。其中以下op实际存在dtype transfer逻辑，相应在ops.yaml中配置