2020-05-07 09:41:54 +08:00
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// RUN: npcomp-opt -lower-to-hybrid-tensor-memref-pipeline <%s | FileCheck %s --dump-input=fail
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#map0 = affine_map<(d0) -> (d0)>
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func @f(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
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%0 = "shape.shape_of"(%arg0) : (tensor<?xf32>) -> !shape.shape
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%1 = "shape.shape_of"(%arg1) : (tensor<?xf32>) -> !shape.shape
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%2 = "shape.broadcast"(%0, %1) : (!shape.shape, !shape.shape) -> !shape.shape
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%3 = "shape.abort_if_error"(%2) : (!shape.shape) -> none
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%4 = "tcp.island"(%3) ( {
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%5 = "tcp.broadcast_to"(%arg0, %2) : (tensor<?xf32>, !shape.shape) -> tensor<?xf32>
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%6 = "tcp.broadcast_to"(%arg1, %2) : (tensor<?xf32>, !shape.shape) -> tensor<?xf32>
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2020-05-12 06:20:49 +08:00
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// CHECK: tcp.alloc_memref
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2020-05-07 09:41:54 +08:00
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%7 = linalg.generic {args_in = 2 : i64, args_out = 1 : i64, indexing_maps = [#map0, #map0, #map0], iterator_types = ["parallel"]} %5, %6 {
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^bb0(%arg2: f32, %arg3: f32): // no predecessors
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%8 = addf %arg2, %arg3 : f32
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linalg.yield %8 : f32
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}: tensor<?xf32>, tensor<?xf32> -> tensor<?xf32>
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"tcp.yield"(%7) : (tensor<?xf32>) -> ()
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}) : (none) -> tensor<?xf32>
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return %4 : tensor<?xf32>
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}
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