mirror of https://github.com/llvm/torch-mlir
61 lines
1.5 KiB
MLIR
61 lines
1.5 KiB
MLIR
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// RUN: npcomp-opt -split-input-file -lower-constant-tensors-to-memrefs <%s | FileCheck %s
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// CHECK-LABEL: module {
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// We check the debug name too since we put some effort into making that readable.
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// The name isn't load-bearing though.
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// CHECK: tcp.global @__constant_3x4xf32 dense<7.000000e+00> : tensor<3x4xf32>
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// CHECK: func @basic
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func @basic() -> tensor<3x4xf32> {
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// CHECK: %[[MEMREF:.*]] = tcp.get_global_memref @__constant_3x4xf32 : memref<3x4xf32>
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// CHECK: %[[TENSOR:.*]] = tensor_load %[[MEMREF]]
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%0 = constant dense<7.0> : tensor<3x4xf32>
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// CHECK: return %[[TENSOR]]
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return %0 : tensor<3x4xf32>
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}
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// CHECK: }
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// -----
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// CHECK-LABEL: module {
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// Only one global is created.
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// CHECK: tcp.global
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// CHECK-NOT: tcp.global
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func @duplicate_constants() -> (tensor<3x4xf32>, tensor<3x4xf32>) {
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%0 = constant dense<7.0> : tensor<3x4xf32>
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%1 = constant dense<7.0> : tensor<3x4xf32>
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// CHECK: return %[[TENSOR]]
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return %0, %1 : tensor<3x4xf32>, tensor<3x4xf32>
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}
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// CHECK: }
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// -----
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// CHECK-LABEL: module {
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// Two globals are created.
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// CHECK: tcp.global
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// CHECK: tcp.global
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// CHECK-NOT: tcp.global
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func @multiple_constants() -> (tensor<3x4xf32>, tensor<3x4xf32>) {
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%0 = constant dense<7.0> : tensor<3x4xf32>
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%1 = constant dense<8.0> : tensor<3x4xf32>
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// CHECK: return %[[TENSOR]]
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return %0, %1 : tensor<3x4xf32>, tensor<3x4xf32>
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}
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// CHECK: }
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// -----
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// CHECK-LABEL: module {
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// We don't convert non-tensor globals.
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// CHECK-NOT: tcp.global
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func @non_tensor() {
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%0 = constant 7 : i32
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return
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}
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// CHECK: }
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