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tensorflow/compiler/mlir/tensorflow/tests/xla_call_module_serialization.mlir
return %arg2 : tensor<?xi32> } // CHECK-LABEL: func @main // CHECK-SAME: %[[ARG0:.*]]: tensor<10xi32>, %[[ARG1:.*]]: tensor<10xi32> func.func @main(%arg0: tensor<10xi32>, %arg1: tensor<10xi32>) -> tensor<10xi32> { // CHECK: %[[RESULT:.*]] = "tf.XlaCallModule"(%[[ARG0]], %[[ARG1]]) // CHECK-SAME: Sout = [#tf_type.shape<?>] // CHECK-SAME: dim_args_spec = [] // CHECK-NOT: _entry_function
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 26 03:48:35 UTC 2023 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nhwc.mlir
%arg0: tensor<1x64x28x28xf32>, %arg1: tensor<64xf32> ) -> tensor<1x64x28x28xf32> { // CHECK: %[[ARG_PERM:.*]] = "tf.Const"() // CHECK-SAME: <{value = dense<[0, 2, 3, 1]> : tensor<4xi64>}> // CHECK: %[[ARG_TRANSPOSE:[0-9]*]] = "tf.Transpose"(%arg0, %[[ARG_PERM]]) // CHECK: "tf.FusedBatchNormV3" // CHECK-SAME: (%[[ARG_TRANSPOSE]], %arg1, %arg1, %arg1, %arg1) // CHECK-SAME: data_format = "NHWC"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/add.mlir
func.func @main(%arg0: tensor<f32>, %arg1: tensor<f32>) -> tensor<f32> { %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<f32>, tensor<f32>) -> tensor<f32> func.return %0 : tensor<f32> } } // CHECK-LABEL: HloModule main // CHECK: ENTRY %main.{{[0-9]+}} ([[ARG0:.*]]: f32[], [[ARG1:.*]]: f32[]) -> (f32[]) { // CHECK-NEXT: %[[ARG0]] = f32[] parameter(0) // CHECK-NEXT: %[[ARG1]] = f32[] parameter(1)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 23 18:56:13 UTC 2022 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-resource-read-for-write.mlir
// CHECK-SAME: ([[ARG0:%.*]]: tensor<i32>, [[ARG1:%.*]]: tensor<f32>, [[ARG2:%.*]]: tensor<*x!tf_type.resource<tensor<i32>>>) func.func @write_only_resource(%arg0: tensor<i32>, %arg1: tensor<f32>, %arg2: tensor<*x!tf_type.resource<tensor<i32>>>) { // CHECK-NEXT: [[READ:%.*]] = "tf.ReadVariableOp"([[ARG2]]) // CHECK-NEXT: [[CLUSTER:%.*]]:2 = "tf_device.cluster_func"([[ARG0]], [[ARG1]], [[READ]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 16:54:40 UTC 2024 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @testValidIfRegionOpWithMultipleResults(%arg0: tensor<i1>, %arg1: tensor<2xf32>) -> tensor<2xf32> { %0, %1, %2 = "tf.IfRegion"(%arg0) ({ %t0 = "tf.Abs"(%arg1) : (tensor<2xf32>) -> tensor<2xf32> %t1 = "tf.Acos"(%arg1) : (tensor<2xf32>) -> tensor<2xf32> %t2 = "tf.Acosh"(%arg1) : (tensor<2xf32>) -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/fold-broadcast.mlir
func.func @broadcast_mul0(%arg0: tensor<5x7xf32>, %arg1: tensor<7xf32>) -> tensor<5x7xf32> { %cst = arith.constant dense<[5, 7]> : tensor<2xi32> %0 = "tf.BroadcastTo"(%arg1, %cst) : (tensor<7xf32>, tensor<2xi32>) -> tensor<5x7xf32> %1 = "tf.Mul"(%arg0, %0) : (tensor<5x7xf32>, tensor<5x7xf32>) -> tensor<5x7xf32> func.return %1 : tensor<5x7xf32> // CHECK: %[[V0:.*]] = "tf.Mul"(%arg0, %arg1) : (tensor<5x7xf32>, tensor<7xf32>) -> tensor<5x7xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/canonicalize.td
(TF_LessEqualOp:$dest $arg0, $arg1), [], [(CopyAttrs $src, $dest)]>; def LogicalNotOfGreaterEqual : Pat< (TF_LogicalNotOp:$src (TF_GreaterEqualOp $arg0, $arg1)), (TF_LessOp:$dest $arg0, $arg1), [], [(CopyAttrs $src, $dest)]>; def LogicalNotOfLess : Pat<( TF_LogicalNotOp:$src (TF_LessOp $arg0, $arg1)), (TF_GreaterEqualOp:$dest $arg0, $arg1), [], [(CopyAttrs $src, $dest)]>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:42:28 UTC 2023 - 17K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_main_function.mlir
// CHECK: func private @mul1(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> attributes {tf.entry_function = {inputs = "mul1_y:0,mul1_x:0", outputs = "PartitionedCall:0"}} // CHECK: %[[MUL_0:.*]] = "tf.Mul"(%arg1, %arg0) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> // CHECK: return %[[MUL_0]] : tensor<1xf32> // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 15.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tfrt_ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 06:13:11 UTC 2024 - 1.3K bytes - Viewed (0) -
src/cmd/compile/internal/test/testdata/short_test.go
} func testOr(t *testing.T, arg1, arg2, wantRes bool) { testShortCircuit(t, "OR", arg1, arg2, or_ssa, !arg1, wantRes) } func testShortCircuit(t *testing.T, opName string, arg1, arg2 bool, fn func(bool, bool) bool, wantRightCall, wantRes bool) { rightCalled = false got := fn(arg1, arg2) if rightCalled != wantRightCall { t.Errorf("failed for %t %s %t; rightCalled=%t want=%t", arg1, opName, arg2, rightCalled, wantRightCall) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Dec 23 06:40:04 UTC 2020 - 1.5K bytes - Viewed (0)