mirror of https://github.com/llvm/torch-mlir
26 lines
1.5 KiB
MLIR
26 lines
1.5 KiB
MLIR
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// RUN: npcomp-opt %s -aten-layer-name -aten-op-report |& FileCheck %s
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// CHECK-LABEL: "L0-_convolution-0": {
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// CHECK-NEXT: "activation_in": 32768,
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// CHECK-NEXT: "activation_out": 65536,
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// CHECK-NEXT: "ops:+": 65536,
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// CHECK-NEXT: "ops:MAC": 6422528,
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// CHECK-NEXT: "parameters_in": 1584,
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// CHECK-NEXT: "reads": 34352,
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// CHECK-NEXT: "writes": 65536
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module {
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func @graph(%arg0: tensor<1x2x128x128xf32>, %arg1: tensor<16x2x7x7xf32>, %arg2: tensor<16xf32>) -> tensor<1x16x64x64xf32> {
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%0 = "aten.constant"() {type = "List[i32]", value = dense<2> : vector<2xi64>} : () -> !aten.list<i32>
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%1 = "aten.constant"() {type = "List[i32]", value = dense<3> : vector<2xi64>} : () -> !aten.list<i32>
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%2 = "aten.constant"() {type = "List[i32]", value = dense<1> : vector<2xi64>} : () -> !aten.list<i32>
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%3 = "aten.constant"() {type = "bool", value = 0 : i1} : () -> i1
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%4 = "aten.constant"() {type = "List[i32]", value = dense<0> : vector<2xi64>} : () -> !aten.list<i32>
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%5 = "aten.constant"() {type = "i32", value = 1 : i32} : () -> i32
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%6 = "aten.constant"() {type = "bool", value = 0 : i1} : () -> i1
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%7 = "aten.constant"() {type = "bool", value = 0 : i1} : () -> i1
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%8 = "aten.constant"() {type = "bool", value = 1 : i1} : () -> i1
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%9 = "aten._convolution"(%arg0, %arg1, %arg2, %0, %1, %2) : (tensor<1x2x128x128xf32>, tensor<16x2x7x7xf32>, tensor<16xf32>, !aten.list<i32>, !aten.list<i32>, !aten.list<i32>) -> tensor<1x16x64x64xf32>
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"std.return"(%9) : (tensor<1x16x64x64xf32>) -> ()
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}
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}
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