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32 lines
1.4 KiB
32 lines
1.4 KiB
// RUN: mlir-opt -shape-to-shape-lowering -split-input-file %s | FileCheck %s
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// CHECK-LABEL: func @num_elements_to_reduce
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// CHECK-SAME: ([[ARG:%.*]]: !shape.shape) -> !shape.size
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func @num_elements_to_reduce(%shape : !shape.shape) -> !shape.size {
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%num_elements = shape.num_elements %shape : !shape.shape -> !shape.size
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return %num_elements : !shape.size
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}
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// CHECK: [[C1:%.*]] = shape.const_size 1
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// CHECK: [[NUM_ELEMENTS:%.*]] = shape.reduce([[ARG]], [[C1]]) : !shape.shape -> !shape.size
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// CHECK: ^bb0({{.*}}: index, [[DIM:%.*]]: !shape.size, [[ACC:%.*]]: !shape.size
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// CHECK: [[NEW_ACC:%.*]] = shape.mul [[DIM]], [[ACC]]
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// CHECK: shape.yield [[NEW_ACC]] : !shape.size
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// CHECK: }
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// CHECK: return [[NUM_ELEMENTS]] : !shape.size
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// -----
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// CHECK-LABEL: func @num_elements_to_reduce_on_index
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// CHECK-SAME: ([[ARG:%.*]]: tensor<?xindex>) -> index
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func @num_elements_to_reduce_on_index(%shape : tensor<?xindex>) -> index {
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%num_elements = shape.num_elements %shape : tensor<?xindex> -> index
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return %num_elements : index
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}
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// CHECK: [[C1:%.*]] = constant 1 : index
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// CHECK: [[NUM_ELEMENTS:%.*]] = shape.reduce([[ARG]], [[C1]]) : tensor<?xindex> -> index
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// CHECK: ^bb0({{.*}}: index, [[DIM:%.*]]: index, [[ACC:%.*]]: index
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// CHECK: [[NEW_ACC:%.*]] = shape.mul [[DIM]], [[ACC]]
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// CHECK: shape.yield [[NEW_ACC]] : index
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// CHECK: }
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// CHECK: return [[NUM_ELEMENTS]] : index
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