mirror of https://github.com/llvm/torch-mlir
33 lines
1.0 KiB
MLIR
33 lines
1.0 KiB
MLIR
// RUN: npcomp-opt -lower-ranked-shapes <%s -split-input-file -verify-diagnostics | FileCheck %s --dump-input=fail
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// CHECK-LABEL: func @broadcast_rank2_rank1
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func @broadcast_rank2_rank1(%arg0: index, %arg1: index, %arg2: index) -> (index, index) {
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// CHECK-NOT: shape.broadcast
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// CHECK-NOT: tcp.get_extent
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// CHECK-NOT: shape.from_extents
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%0 = shape.from_extents %arg0, %arg1
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%1 = shape.from_extents %arg2
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%2 = "shape.broadcast"(%0, %1) : (!shape.shape, !shape.shape) -> !shape.shape
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%e0 = tcp.get_extent %2, 0
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%e1 = tcp.get_extent %2, 1
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return %e0, %e1 : index, index
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}
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// CHECK-LABEL: func @erase_shape_observe_error
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func @erase_shape_observe_error(%arg0: index) {
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// CHECK-NOT: tcp.shape_observe_error
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// CHECK-NOT: shape.from_extents
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%0 = shape.from_extents %arg0
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"tcp.shape_observe_error"(%0) : (!shape.shape) -> none
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return
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}
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// -----
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func @cannot_erase_shape_from_extents() -> !shape.shape {
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// expected-error @+1 {{could not be eliminated}}
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%0 = shape.from_extents
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return %0 : !shape.shape
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}
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