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List striding with arbitrary step size (#58537)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/58537 Test Plan: Imported from OSS Reviewed By: ejguan Differential Revision: D28531721 Pulled By: tugsbayasgalan fbshipit-source-id: 8c8ed32ca00366603bfb5086e87dfa62736ff4b2
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@ -95,9 +95,9 @@ std::shared_ptr<Graph> build_lstm() {
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std::shared_ptr<Graph> build_mobile_export_analysis_graph() {
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// We use following two schemas for this graph:
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// 1. slice.Tensor(Tensor(a) self, int dim=0, int? start=0,
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// int? end=9223372036854775807, int step=1) -> Tensor(a)
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// 2. slice.str(str string, int? start=0, int? end=9223372036854775807,
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// 1. slice.Tensor(Tensor(a) self, int dim=0, int? start=None,
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// int? end=None, int step=1) -> Tensor(a)
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// 2. slice.str(str string, int? start=None, int? end=None,
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// int step=1) -> str
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// %3 and %4 use slice.Tensor while %5 use slice.str.
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// Since we can see %3 and %4 have the same last argument that is never used
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@ -114,7 +114,7 @@ std::shared_ptr<Graph> build_mobile_export_analysis_graph() {
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%22 : str = prim::Constant[value="value"]()
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%3 : Tensor = aten::slice(%0, %1, %20, %2, %1)
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%4 : Tensor = aten::slice(%0, %2, %20, %21, %1)
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%5 : str = aten::slice(%22, %20, %21, %1)
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%5 : str = aten::slice(%22, %20, %21, %2)
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return (%3, %4, %5))IR";
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auto g = std::make_shared<Graph>();
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@ -139,7 +139,7 @@ std::shared_ptr<Graph> build_mobile_export_analysis_graph_nested() {
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%c : Tensor = prim::If(%23)
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block0():
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%4 : Tensor = aten::slice(%0, %2, %20, %21, %1)
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%5 : str = aten::slice(%22, %20, %21, %1)
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%5 : str = aten::slice(%22, %20, %21, %2)
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%c.1 : Tensor = aten::slice(%0, %1, %20, %2, %1)
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-> (%c.1)
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block1():
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