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tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
will be transformed into: ```mlir func @my_fn(%arg0: tensor<i32>, %arg1: tensor<i32>) -> (tensor<i32>, tensor<i32>) { %identity = "tf.Identity"(%arg0) : (tensor<i32>) -> tensor<i32> %identity_n:2 = "tf.IdentityN"(%arg1, %identity) : (tensor<i32>, tensor<i32>) -> (tensor<i32>, tensor<i32>) return %identity, %identity_n#0 : tensor<i32>, tensor<i32> } ``` ### `-tf-executor-tpu-v1-island-coarsening`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
TFE_TensorHandle* m = TestMatrixTensorHandle(ctx); TFE_Op* identity = TFE_NewOp(ctx, "Identity", status); TFE_TensorHandle* retvals[1]; int num_retvals = 1; for (auto s : state) { TFE_OpReset(identity, "Identity", nullptr, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(identity, m, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 20:50:20 UTC 2023 - 94.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
} }; // Replaces the Identity op with its input in either of the following scenarios // : 1) The Identity op's input and output have same types/shapes. 2) The result // of Identity op is only used by TF ops. struct RemoveIdentity : public OpRewritePattern<TF::IdentityOp> { using OpRewritePattern<TF::IdentityOp>::OpRewritePattern; LogicalResult matchAndRewrite(TF::IdentityOp identity,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/convert_control_to_data_outputs.mlir
-> (!tf_res, !tf_res, tensor<f32>) { // CHECK: "tf.Identity" %graph:3 = tf_executor.graph { // CHECK: {{.*}}, [[ctrl1:%.*]] = tf_executor.island wraps "tf.Identity" // CHECK: {{.*}}, [[ctrl2:%.*]] = tf_executor.island wraps "tf.Identity" // CHECK: "tf.Identity" %key, %key_control = tf_executor.island wraps "tf.Const"() {value = dense<"">: !tf_str} : () -> !tf_str
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 18:35:00 UTC 2024 - 68.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%0 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<1x3x4x3xi8>) -> tensor<1x3x4x3xi32> %1 = "tf.Sub"(%0, %arg4) : (tensor<1x3x4x3xi32>, tensor<i32>) -> tensor<1x3x4x3xi32> %identity = "tf.Identity"(%arg1) : (tensor<2x3x3x2xi8>) -> tensor<2x3x3x2xi8> %2 = "tf.Cast"(%identity) {Truncate = false} : (tensor<2x3x3x2xi8>) -> tensor<2x3x3x2xi32> %3 = "tf.Sub"(%2, %arg6) : (tensor<2x3x3x2xi32>, tensor<i32>) -> tensor<2x3x3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/jit/deadness_analysis_test.cc
OutputList outputs; CreateSwitchN(root.WithOpName("switchn"), value, constant_7, 3, &outputs); Output id_0 = ops::Identity(root.WithOpName("id_0"), outputs[0]); Output id_1 = ops::Identity(root.WithOpName("id_1"), outputs[1]); Output id_2 = ops::Identity(root.WithOpName("id_2"), outputs[2]); FixupSourceAndSinkEdges(root.graph()); PredicateMapTy predicate_map;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 51.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// CHECK: return %cst : tensor<i32> } func.func @identity(%arg0: tensor<10xi32>, %arg1: tensor<20xi32>, %arg2: tensor<30xi32>) -> (tensor<10xi32>, tensor<20xi32>, tensor<30xi32>, tensor<*xi32>) { %0 = "tf.Identity"(%arg0) : (tensor<10xi32>) -> tensor<10xi32> %1:2 = "tf.IdentityN"(%arg1,%arg2) : (tensor<20xi32>, tensor<30xi32>) -> (tensor<20xi32>, tensor<30xi32>) %2 = "tf.Identity"(%arg0) : (tensor<10xi32>) -> tensor<*xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir
%outputs_32 = "tf.AddV2"(%arg0, %outputs_6) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<*xi32> %outputs_34 = "tf.Identity"(%outputs_32) {device = ""} : (tensor<*xi32>) -> tensor<*xi32> %outputs_36 = "tf.Identity"(%arg1) {device = ""} : (tensor<i32>) -> tensor<*xi32> %outputs_38 = "tf.Mul"(%outputs_16, %arg5) {device = ""} : (tensor<*xf32>, tensor<?xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
%6 = "tf.Identity"(%3) {_xla_compile_device_type = "TPU", _replication_info = "a"} : (tensor<f32>) -> tensor<f32> %7 = "tf.Identity"(%4) {_xla_compile_device_type = "TPU", _replication_info = "b"} : (tensor<f32>) -> tensor<f32> %8 = "tf.Identity"(%5) {_xla_compile_device_type = "TPU", _replication_info = "c"} : (tensor<f32>) -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"Identity", "IdentityN", "Relu", "Relu6", "ReluGrad", "Relu6Grad", "LeakyReluGrad", "Elu", "EluGrad", "Selu", "SeluGrad", "Select", "SelectV2", "Transpose", "ConjugateTranspose", "_UnaryOpsComposition", "CollectiveReduceV2", "CollectiveAssignGroupV2", // The following 5 operations are converted to identity
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0)