| // RUN: tf-opt -split-input-file -tf-test-side-effect-analysis -verify-diagnostics %s | FileCheck %s |
| |
| // Tests that the pass tracks control dependencies for reads/writes on the same |
| // resource. |
| |
| // CHECK-LABEL: func @non_aliasing_reads_writes |
| func @non_aliasing_reads_writes( |
| // expected-remark@above {{ID: 13}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<32xf32>) -> (tensor<32xf32>) { |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 11}} |
| // CHECK: tf_executor.island |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Successors: {10}}} |
| %read0 = "tf.ReadVariableOp"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| "tf.AssignVariableOp"(%arg0, %arg2) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {6}}} |
| %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {5}}} |
| %var_handle = "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 3}} |
| %read2 = "tf.ReadVariableOp"(%var_handle) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {8}}} |
| "tf.AssignVariableOp"(%arg1, %read0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {2}}} |
| // expected-remark@above {{Successors: {8}}} |
| "tf.AssignVariableOp"(%arg0, %read2) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {7}}} |
| %read3 = "tf.ReadVariableOp"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {6}}} |
| // expected-remark@above {{Successors: {8}}} |
| tf_executor.yield %read3 : tensor<32xf32> |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Predecessors: {4,5,7}}} |
| } |
| tf_executor.fetch %island#0 : tensor<32xf32> |
| // expected-remark@above {{ID: 10}} |
| // expected-remark@above {{Predecessors: {9}}} |
| } |
| return %graph : tensor<32xf32> |
| // expected-remark@above {{ID: 12}} |
| // expected-remark@above {{Sinks: {11}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for reads/writes on the two |
| // resource handles that refer to the same variable. |
| |
| // CHECK-LABEL: func @aliasing_reads_writes |
| func @aliasing_reads_writes(%arg0: tensor<32xf32>) -> () { |
| // expected-remark@above {{ID: 14}} |
| tf_executor.graph { |
| // expected-remark@above {{ID: 12}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 10}} |
| // expected-remark@above {{Successors: {11}}} |
| %vh0 = "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 0}} |
| %vh1 = "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 1}} |
| %vh1_id:2 = "tf.IdentityN"(%vh1, %arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) |
| // expected-remark@above {{ID: 2}} |
| %read0 = "tf.ReadVariableOp"(%vh0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf.AssignVariableOp"(%vh1_id#0, %arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| // expected-remark@above {{Successors: {5,6}}} |
| %read1 = "tf.ReadVariableOp"(%vh0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| // expected-remark@above {{Successors: {7}}} |
| %read2 = "tf.ReadVariableOp"(%vh1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {4}}} |
| // expected-remark@above {{Successors: {7}}} |
| "tf.AssignVariableOp"(%vh0, %read2) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {5,6}}} |
| // expected-remark@above {{Successors: {8}}} |
| "tf.AssignVariableOp"(%vh1_id#0, %read1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Predecessors: {7}}} |
| // expected-remark@above {{Successors: {9}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Predecessors: {8}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Predecessors: {10}}} |
| } |
| return |
| // expected-remark@above {{ID: 13}} |
| // expected-remark@above {{Sinks: {12}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for side-effecting on unknown |
| // resources. |
| |
| // CHECK-LABEL: func @unknown_side_effecting_op |
| func @unknown_side_effecting_op(%arg0: tensor<32xf32>) -> () { |
| // expected-remark@above {{ID: 14}} |
| tf_executor.graph { |
| // expected-remark@above {{ID: 12}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 10}} |
| // expected-remark@above {{Successors: {11}}} |
| %vh0 = "tf.VarHandleOp"() {container = "c", shared_name = "v0"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 0}} |
| %vh1 = "tf.VarHandleOp"() {container = "c", shared_name = "v1"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 1}} |
| %read0 = "tf.ReadVariableOp"(%vh0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf.AssignVariableOp"(%vh1, %arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {2,3}}} |
| // expected-remark@above {{Successors: {5,6,7}}} |
| %read1 = "tf.ReadVariableOp"(%vh1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| // expected-remark@above {{Successors: {8}}} |
| %read2 = "tf.ReadVariableOp"(%vh1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {4}}} |
| // expected-remark@above {{Successors: {8}}} |
| "tf.AssignVariableOp"(%vh0, %read1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {4}}} |
| // expected-remark@above {{Successors: {9}}} |
| "tf.AssignVariableOp"(%vh1, %read0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Predecessors: {5,6}}} |
| // expected-remark@above {{Successors: {9}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Predecessors: {7,8}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Predecessors: {10}}} |
| } |
| return |
| // expected-remark@above {{ID: 13}} |
| // expected-remark@above {{Sinks: {12}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for read-only ops on unknown |
| // resources. |
| |
| // CHECK-LABEL: func @read_only_unknown_resource |
| func @read_only_unknown_resource(%arg0: tensor<32xf32>) -> () { |
| // expected-remark@above {{ID: 10}} |
| tf_executor.graph { |
| // expected-remark@above {{ID: 8}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Successors: {7}}} |
| %vh0 = "tf._UnknownSideEffectingOp_"() : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2,3}}} |
| %vh1 = "tf.VarHandleOp"() {container = "c", shared_name = "v1"} : () -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| // expected-remark@above {{ID: 1}} |
| %read0 = "tf.ReadVariableOp"(%vh0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {4}}} |
| %read1 = "tf.ReadVariableOp"(%vh1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf.AssignVariableOp"(%vh1, %read0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {2,3}}} |
| // expected-remark@above {{Successors: {5}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {6}}} |
| } |
| return |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Sinks: {8}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass adds control dependencies in nested regions with |
| // tf_device.replicate |
| |
| func @with_replicate( |
| // expected-remark@above {{ID: 12}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg3: tensor<*x!tf_type.resource<tensor<32xf32>>>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 10}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Successors: {9}}} |
| %u0:2 = "tf._UnknownSideEffectingOp_"() : () -> (tensor<32xf32>, tensor<32xf32>) |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {5}}} |
| tf_device.replicate( |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {6}}} |
| [%arg0, %arg1] as %r0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| [%arg2, %arg3] as %r1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| [%u0#0, %u0#1] as %u : tensor<32xf32>) |
| {n = 2 : i32, devices = {CORE_0 = ["/CPU:0", "/GPU:1"]}} { |
| %read0 = "tf.ReadVariableOp"(%r0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 1}} |
| "tf.AssignVariableOp"(%r1, %u) : (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {3}}} |
| %read1 = "tf.ReadVariableOp"(%r1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| tf_device.return |
| // expected-remark@above {{ID: 4}} |
| } |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {5}}} |
| // expected-remark@above {{Successors: {7}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {6}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Predecessors: {8}}} |
| } |
| return |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Sinks: {10}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass does not add control dependencies for a stateless if op. |
| |
| // CHECK-LABEL: func @stateless_if_op |
| func @stateless_if_op( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| %r0 = "tf.ReadVariableOp"(%arg0) : |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %if = "tf.If"(%arg1, %arg1) { |
| // expected-remark@above {{ID: 1}} |
| then_branch = @if_then, else_branch = @if_else, is_stateless = true} |
| : (tensor<i1>, tensor<i1>) -> tensor<i1> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {3}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // CHECK-LABEL: func @if_then |
| func @if_then(%arg0: tensor<i1>) -> tensor<i1> { |
| // expected-remark@above {{ID: 5}} |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 3}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield %arg0 : tensor<i1> |
| // expected-remark@above {{ID: 0}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| return %graph : tensor<i1> |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Sinks: {3}}} |
| } |
| |
| // CHECK-LABEL: func @if_else |
| func @if_else(%arg0: tensor<i1>) -> tensor<i1> { |
| // expected-remark@above {{ID: 5}} |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 3}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield %arg0 : tensor<i1> |
| // expected-remark@above {{ID: 0}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| return %graph : tensor<i1> |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Sinks: {3}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass does not add control dependencies for a stateless |
| // IfRegion op. |
| |
| // CHECK-LABEL: func @stateless_ifregion_op |
| func @stateless_ifregion_op( |
| // expected-remark@above {{ID: 18}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 16}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 14}} |
| // expected-remark@above {{Successors: {15}}} |
| |
| %r0 = "tf.ReadVariableOp"(%arg0) : |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {12}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| |
| %if = "tf.IfRegion"(%arg1) ( |
| // expected-remark@above {{ID: 11}} |
| { // Then region. |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 4}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield %arg1 : tensor<i1> |
| // expected-remark@above {{ID: 1}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| "tf.Yield"(%graph) : (tensor<i1>) -> () |
| // expected-remark@above {{ID: 5}} |
| }, { // Else region |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 9}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Successors: {8}}} |
| tf_executor.yield %arg1 : tensor<i1> |
| // expected-remark@above {{ID: 6}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Predecessors: {7}}} |
| } |
| "tf.Yield"(%graph) : (tensor<i1>) -> () |
| // expected-remark@above {{ID: 10}} |
| } |
| ) { is_stateless = true} : (tensor<i1>) -> tensor<i1> |
| |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 12}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {13}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| |
| tf_executor.yield |
| // expected-remark@above {{ID: 13}} |
| // expected-remark@above {{Predecessors: {12}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 15}} |
| // expected-remark@above {{Predecessors: {14}}} |
| } |
| return |
| // expected-remark@above {{ID: 17}} |
| // expected-remark@above {{Sinks: {16}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass does not add control dependencies a stateless while op. |
| |
| // CHECK-LABEL: func @stateless_if_op |
| func @stateless_if_op( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| %r0 = "tf.ReadVariableOp"(%arg0) : |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %while = "tf.While"(%arg1) { |
| // expected-remark@above {{ID: 1}} |
| body = @while_body, cond = @while_cond, is_stateless = true} |
| : (tensor<i1>) -> tensor<i1> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {3}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // CHECK-LABEL: func @while_body |
| func @while_body(%arg0: tensor<i1>) -> tensor<i1> { |
| // expected-remark@above {{ID: 5}} |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 3}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield %arg0 : tensor<i1> |
| // expected-remark@above {{ID: 0}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| return %graph : tensor<i1> |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Sinks: {3}}} |
| } |
| |
| // CHECK-LABEL: func @while_cond |
| func @while_cond(%arg0: tensor<i1>) -> tensor<i1> { |
| // expected-remark@above {{ID: 5}} |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 3}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield %arg0 : tensor<i1> |
| // expected-remark@above {{ID: 0}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| return %graph : tensor<i1> |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Sinks: {3}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass does not add control dependencies a stateless WhileRegion |
| // op. |
| |
| // CHECK-LABEL: func @stateless_whileregion_op |
| func @stateless_whileregion_op( |
| // expected-remark@above {{ID: 18}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 16}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 14}} |
| // expected-remark@above {{Successors: {15}}} |
| %r0 = "tf.ReadVariableOp"(%arg0) : |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {12}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| |
| %while = "tf.WhileRegion"(%arg1) ( |
| // expected-remark@above {{ID: 11}} |
| { |
| ^bb0(%carg: tensor<i1>): |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 4}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield %carg : tensor<i1> |
| // expected-remark@above {{ID: 1}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| "tf.Yield"(%graph) : (tensor<i1>) -> () |
| // expected-remark@above {{ID: 5}} |
| }, { |
| ^bb0(%barg: tensor<i1>): |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 9}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Successors: {8}}} |
| tf_executor.yield %barg : tensor<i1> |
| // expected-remark@above {{ID: 6}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Predecessors: {7}}} |
| } |
| "tf.Yield"(%graph) : (tensor<i1>) -> () |
| // expected-remark@above {{ID: 10}} |
| } |
| ) {is_stateless = true} : (tensor<i1>) -> tensor<i1> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 12}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {13}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 13}} |
| // expected-remark@above {{Predecessors: {12}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 15}} |
| // expected-remark@above {{Predecessors: {14}}} |
| } |
| return |
| // expected-remark@above {{ID: 17}} |
| // expected-remark@above {{Sinks: {16}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for variables from an if op's |
| // output. |
| |
| // In this test, the resources computed and used are as follows: |
| // (* = unknown resource id which aliases with everything else) |
| // id0 = arg0 |
| // if-then-branch: [u0, arg0, arg0] |
| // if-else-branch: [arg0, arg0, arg1] |
| // => first result is unknown, second and third is passthrough |
| // if results : [*, arg0, {arg0, arg1}[ |
| // ID #2: read (unknown) -> succ {5, 6) |
| // ID #3: read (arg0) -> succ {5} |
| // ID #4: read({arg0,arg1}) -> succ {5,6} |
| // ID #5: write(arg0) |
| // ID #6: write(arg1) |
| |
| // CHECK-LABEL: func @output_of_if_op |
| func @output_of_if_op( |
| // expected-remark@above {{ID: 12}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 10}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Successors: {9}}} |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 0}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %if:3 = "tf.If"(%arg2, %id0, %arg1) { |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2,3,4}}} |
| then_branch = @if_then, else_branch = @if_else, is_stateless = false} |
| : (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) -> |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| %r0 = "tf.ReadVariableOp"(%if#0) : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {5,6}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r1 = "tf.ReadVariableOp"(%if#1) : |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {5}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r2 = "tf.ReadVariableOp"(%if#2) : |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {5,6}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {2,3,4}}} |
| // expected-remark@above {{Successors: {7}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| "tf.AssignVariableOp"(%arg1, %r0) : |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {2,4}}} |
| // expected-remark@above {{Successors: {7}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {5,6}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Predecessors: {8}}} |
| } |
| return |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Sinks: {10}}} |
| } |
| |
| // CHECK-LABEL: func @if_then |
| func @if_then( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>) -> |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) { |
| %graph:3 = tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island:4 = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %u0 = "tf._UnknownSideEffectingOp_"() : () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 1}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| tf_executor.yield %u0, %id0, %id0 : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| tf_executor.fetch %island#0, %island#1, %island#2 : |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| return %graph#0, %graph#1, %graph#2 : |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| |
| // CHECK-LABEL: func @if_else |
| func @if_else( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>) -> |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) { |
| %graph:3 = tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island:4 = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 0}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %id1 = "tf.Identity"(%arg1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 1}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| tf_executor.yield %id0, %id0, %id1 : |
| // expected-remark@above {{ID: 2}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| tf_executor.fetch %island#0, %island#1, %island#2 : |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| return %graph#0, %graph#1, %graph#2 : |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for variables from an |
| // IfRegion op's output. |
| |
| // CHECK-LABEL: func @output_of_ifregion_op |
| func @output_of_ifregion_op( |
| // expected-remark@above {{ID: 26}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 24}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 22}} |
| // expected-remark@above {{Successors: {23}}} |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 0}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %if:3 = "tf.IfRegion"(%arg2) ( |
| // expected-remark@above {{ID: 15}} |
| // expected-remark@above {{Successors: {16,17,18}}} |
| { |
| %graph:3 = tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island:4 = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| %u0 = "tf._UnknownSideEffectingOp_"() : () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {3}}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %iid0 = "tf.Identity"(%id0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 2}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| tf_executor.yield %u0, %iid0, %iid0 : |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {1}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| tf_executor.fetch %island#0, %island#1, %island#2 : |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| "tf.Yield"(%graph#0, %graph#1, %graph#2) : |
| // expected-remark@above {{ID: 7}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) -> () |
| }, |
| { |
| %graph:3 = tf_executor.graph { |
| // expected-remark@above {{ID: 13}} |
| %island:4 = tf_executor.island { |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Successors: {12}}} |
| %iid0 = "tf.Identity"(%id0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 8}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %iid1 = "tf.Identity"(%arg1) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 9}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| tf_executor.yield %iid0, %iid0, %iid1 : |
| // expected-remark@above {{ID: 10}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| tf_executor.fetch %island#0, %island#1, %island#2 : |
| // expected-remark@above {{ID: 12}} |
| // expected-remark@above {{Predecessors: {11}}} |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| "tf.Yield"(%graph#0, %graph#1, %graph#2) : |
| // expected-remark@above {{ID: 14}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) -> () |
| }) { is_stateless = false} |
| : (tensor<i1>) -> |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| %r0 = "tf.ReadVariableOp"(%if#0) : |
| // expected-remark@above {{ID: 16}} |
| // expected-remark@above {{Predecessors: {15}}} |
| // expected-remark@above {{Successors: {19,20}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r1 = "tf.ReadVariableOp"(%if#1) : |
| // expected-remark@above {{ID: 17}} |
| // expected-remark@above {{Predecessors: {15}}} |
| // expected-remark@above {{Successors: {19}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r2 = "tf.ReadVariableOp"(%if#2) : |
| // expected-remark@above {{ID: 18}} |
| // expected-remark@above {{Predecessors: {15}}} |
| // expected-remark@above {{Successors: {19,20}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 19}} |
| // expected-remark@above {{Predecessors: {16,17,18}}} |
| // expected-remark@above {{Successors: {21}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| "tf.AssignVariableOp"(%arg1, %r0) : |
| // expected-remark@above {{ID: 20}} |
| // expected-remark@above {{Predecessors: {16,18}}} |
| // expected-remark@above {{Successors: {21}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 21}} |
| // expected-remark@above {{Predecessors: {19,20}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 23}} |
| // expected-remark@above {{Predecessors: {22}}} |
| } |
| return |
| // expected-remark@above {{ID: 25}} |
| // expected-remark@above {{Sinks: {24}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for variables from a while |
| // op's output. |
| |
| // Here: |
| // id0 = arg0 |
| // while-inputs = (id0/arg0, arg1, arg1) |
| // while body pass through first and second arg, not last one |
| // while-results = (arg0, arg1, Unknown) |
| // #ID 2: read(arg0) -> succ{5} |
| // #ID 3: read(arg1) -> succ{6} |
| // #ID 4: read(unknown) -> succ{5,6} |
| // #ID 5 : write(arg0) |
| // #ID 6 : write(arg1) |
| |
| |
| // CHECK-LABEL: func @output_of_while_op |
| func @output_of_while_op( |
| // expected-remark@above {{ID: 12}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 10}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Successors: {9}}} |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 0}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %while:4 = "tf.While"(%arg2, %id0, %arg1, %arg1) { |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2,3,4}}} |
| body = @while_body, cond = @while_cond, is_stateless = false} |
| : (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) -> |
| (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| %r0 = "tf.ReadVariableOp"(%while#1) : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {5}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r1 = "tf.ReadVariableOp"(%while#2) : |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {6}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r2 = "tf.ReadVariableOp"(%while#3) : |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {5,6}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {2,4}}} |
| // expected-remark@above {{Successors: {7}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| "tf.AssignVariableOp"(%arg1, %r0) : |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {3,4}}} |
| // expected-remark@above {{Successors: {7}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Predecessors: {5,6}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Predecessors: {8}}} |
| } |
| return |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Sinks: {10}}} |
| } |
| |
| // CHECK-LABEL: func @while_body |
| func @while_body( |
| // expected-remark@above {{ID: 7}} |
| %pred: tensor<i1>, |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<*x!tf_type.resource<tensor<32xf32>>>) -> |
| (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) { |
| %graph:4 = tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island:5 = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 0}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %u0 = "tf._UnknownSideEffectingOp_"() : () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| tf_executor.yield %pred, %id0, %arg1, %u0 : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| tf_executor.fetch %island#0, %island#1, %island#2, %island#3 : |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| return %graph#0, %graph#1, %graph#2, %graph#3 : |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| |
| // CHECK-LABEL: func @while_cond |
| func @while_cond( |
| // expected-remark@above {{ID: 7}} |
| %pred: tensor<i1>, |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<i1> { |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %const = "tf.Const"() { value = dense<0> : tensor<i1> } : () -> tensor<i1> |
| // expected-remark@above {{ID: 0}} |
| %eq = "tf.Equal"(%pred, %const) : (tensor<i1>, tensor<i1>) -> tensor<i1> |
| // expected-remark@above {{ID: 1}} |
| tf_executor.yield %eq : tensor<i1> |
| // expected-remark@above {{ID: 2}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return %graph : tensor<i1> |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for variables from a |
| // WhileRegion op's output. |
| |
| // CHECK-LABEL: func @output_of_whileregion_op |
| func @output_of_whileregion_op( |
| // expected-remark@above {{ID: 26}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %arg2: tensor<i1>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 24}} |
| // CHECK: tf_executor.island |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 22}} |
| // expected-remark@above {{Successors: {23}}} |
| %id0 = "tf.Identity"(%arg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 0}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %while:4 = "tf.WhileRegion"(%arg2, %id0, %arg1, %arg1) ( |
| // expected-remark@above {{ID: 15}} |
| // expected-remark@above {{Successors: {16,17,18}}} |
| { |
| ^bb0(%pred: tensor<i1>, |
| %carg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %carg2: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %carg3: tensor<*x!tf_type.resource<tensor<32xf32>>>): |
| %graph = tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island:2 = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| %const = "tf.Const"() { value = dense<0> : tensor<i1> } : () -> tensor<i1> |
| // expected-remark@above {{ID: 1}} |
| %eq = "tf.Equal"(%pred, %const) : (tensor<i1>, tensor<i1>) -> tensor<i1> |
| // expected-remark@above {{ID: 2}} |
| tf_executor.yield %eq : tensor<i1> |
| // expected-remark@above {{ID: 3}} |
| } |
| tf_executor.fetch %island#0 : tensor<i1> |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| "tf.Yield"(%graph) : (tensor<i1>) -> () |
| // expected-remark@above {{ID: 7}} |
| }, |
| { |
| ^bb0(%pred: tensor<i1>, |
| %barg0: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %barg1: tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| %barg2: tensor<*x!tf_type.resource<tensor<32xf32>>>): |
| %graph:4 = tf_executor.graph { |
| // expected-remark@above {{ID: 13}} |
| %island:5 = tf_executor.island { |
| // expected-remark@above {{ID: 11}} |
| // expected-remark@above {{Successors: {12}}} |
| %iid0 = "tf.Identity"(%barg0) : (tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| // expected-remark@above {{ID: 8}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| %u0 = "tf._UnknownSideEffectingOp_"() : () |
| // expected-remark@above {{ID: 9}} |
| // expected-remark@above {{Successors: {10}}} |
| -> tensor<*x!tf_type.resource<tensor<32xf32>>> |
| tf_executor.yield %pred, %iid0, %barg1, %u0 : |
| // expected-remark@above {{ID: 10}} |
| // expected-remark@above {{Predecessors: {9}}} |
| tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| tf_executor.fetch %island#0, %island#1, %island#2, %island#3 : |
| // expected-remark@above {{ID: 12}} |
| // expected-remark@above {{Predecessors: {11}}} |
| tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>> |
| } |
| "tf.Yield"(%graph#0, %graph#1, %graph#2, %graph#3) : |
| // expected-remark@above {{ID: 14}} |
| (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) -> () |
| } |
| ) {is_stateless = false} |
| : (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) -> |
| (tensor<i1>, tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>, |
| tensor<*x!tf_type.resource<tensor<32xf32>>>) |
| %r0 = "tf.ReadVariableOp"(%while#1) : |
| // expected-remark@above {{ID: 16}} |
| // expected-remark@above {{Predecessors: {15}}} |
| // expected-remark@above {{Successors: {19}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r1 = "tf.ReadVariableOp"(%while#2) : |
| // expected-remark@above {{ID: 17}} |
| // expected-remark@above {{Predecessors: {15}}} |
| // expected-remark@above {{Successors: {20}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r2 = "tf.ReadVariableOp"(%while#3) : |
| // expected-remark@above {{ID: 18}} |
| // expected-remark@above {{Predecessors: {15}}} |
| // expected-remark@above {{Successors: {19,20}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| "tf.AssignVariableOp"(%arg0, %r0) : |
| // expected-remark@above {{ID: 19}} |
| // expected-remark@above {{Predecessors: {16,18}}} |
| // expected-remark@above {{Successors: {21}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| "tf.AssignVariableOp"(%arg1, %r0) : |
| // expected-remark@above {{ID: 20}} |
| // expected-remark@above {{Predecessors: {17,18}}} |
| // expected-remark@above {{Successors: {21}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 21}} |
| // expected-remark@above {{Predecessors: {19,20}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 23}} |
| // expected-remark@above {{Predecessors: {22}}} |
| } |
| return |
| // expected-remark@above {{ID: 25}} |
| // expected-remark@above {{Sinks: {24}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies based on TF op registry |
| // statefulness flag, for ops not yet defined in ODS. |
| |
| // CHECK-LABEL: func @tf_registry_ops |
| func @tf_registry_ops( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>, %arg1: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf.PrintV2"(%arg0) { output_stream = "stderr", end = "\n" } |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| : (tensor<!tf_type.string>) -> () |
| %merge_summary = "tf.MergeSummary"(%arg0, %arg1) { N = 2 } |
| // expected-remark@above {{ID: 1}} |
| : (tensor<!tf_type.string>, tensor<!tf_type.string>) -> (tensor<!tf_type.string>) |
| "tf.PrintV2"(%merge_summary) { output_stream = "stderr", end = "\n" } |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {3}}} |
| : (tensor<!tf_type.string>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that the pass tracks control dependencies for resource arguments with |
| // aliasing table (unique IDs). |
| |
| // CHECK-LABEL: func @arguments_with_unique_ids |
| func @arguments_with_unique_ids( |
| // expected-remark@above {{ID: 9}} |
| %arg0: tensor<*x!tf_type.resource<tensor<32xf32>>> {tf._resource_arg_unique_id = 0 : i64}, |
| %arg1: tensor<*x!tf_type.resource<tensor<32xf32>>> {tf._resource_arg_unique_id = 0 : i64}, |
| %arg2: tensor<*x!tf_type.resource<tensor<32xf32>>> {tf._resource_arg_unique_id = 33 : i64}) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 7}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Successors: {6}}} |
| %r0 = "tf.ReadVariableOp"(%arg0) : |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {3}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r1 = "tf.ReadVariableOp"(%arg1) : |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {3}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| %r2 = "tf.ReadVariableOp"(%arg2) : |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {4}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>) -> tensor<32xf32> |
| "tf.AssignVariableOp"(%arg1, %r0) : |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {0,1}}} |
| // expected-remark@above {{Successors: {4}}} |
| (tensor<*x!tf_type.resource<tensor<32xf32>>>, tensor<32xf32>) -> () |
| tf_executor.yield |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {2,3}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {5}}} |
| } |
| return |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Sinks: {7}}} |
| } |
| |
| // ----- |
| |
| // Tests interplay of value-based side-effects for non-resource values and |
| // unknown side effects. |
| func @value_based_side_effect_non_resource_to_unknown( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| "tf._InternalTestNonResourceValueSideEffects_"(%arg0) : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests interplay of value-based side-effects for non-resource values and |
| // other known side effects. |
| func @value_based_side_effect_non_resource_to_known( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| %0 = "tf.GeneratorDataset"(%arg0, %arg0, %arg0) {device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", finalize_func = @__func_a, init_func = @__func_b, next_func = @__func_c, next_func.experimental_ints_on_device = true, operand_segment_sizes = dense<[1, 1, 1]> : vector<3xi32>, output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], metadata = ""} : (tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.variant> |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| "tf._InternalTestNonResourceValueSideEffects_"(%arg0) : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {3}}} |
| %1 = "tf.GeneratorDataset"(%arg0, %arg0, %arg0) {device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", finalize_func = @__func_a, init_func = @__func_b, next_func = @__func_c, next_func.experimental_ints_on_device = true, operand_segment_sizes = dense<[1, 1, 1]> : vector<3xi32>, output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], metadata = ""} : (tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.variant> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {1,2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that the analysis correctly handles a sequence of ops using the |
| // `DatasetIterator` resource. |
| func @dataset_op_sequence( |
| // expected-remark@above {{ID: 9}} |
| %arg0: tensor<!tf_type.variant>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 7}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Successors: {6}}} |
| %handle, %deleter = "tf.AnonymousIteratorV2"() {_class = ["loc:@GeneratorDataset_2"], device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string]} : () -> (tensor<!tf_type.resource>, tensor<!tf_type.variant>) |
| // expected-remark@above {{ID: 0}} |
| "tf.MakeIterator"(%arg0, %handle) {_class = ["loc:@GeneratorDataset_2"], device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0"} : (tensor<!tf_type.variant>, tensor<!tf_type.resource>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| %0 = "tf.IteratorGetNext"(%handle) {_class = ["loc:@GeneratorDataset_2"], device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0"} : (tensor<!tf_type.resource>) -> tensor<!tf_type.string> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {3}}} |
| "tf.DeleteIterator"(%handle, %deleter) {device = ""} : (tensor<!tf_type.resource>, tensor<!tf_type.variant>) -> () |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| // expected-remark@above {{Successors: {4}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {5}}} |
| } |
| return |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Sinks: {7}}} |
| } |
| |
| // ----- |
| |
| // Tests `tf.GeneratorDataset` with surrounding ops with unknown side-effects. |
| func @generator_dataset_with_unknown_side_effect_ops( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| %0 = "tf.GeneratorDataset"(%arg0, %arg0, %arg0) {device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", finalize_func = @__func_a, init_func = @__func_b, next_func = @__func_c, next_func.experimental_ints_on_device = true, operand_segment_sizes = dense<[1, 1, 1]> : vector<3xi32>, output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], metadata = ""} : (tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.variant> |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that two resources allocated with identical non-empty `shared_name` |
| // attributes are dependent. That means, `%handle1` and `%handle2` point to |
| // the same resources and the second `InitializeTableV2` op depends on the |
| // first one. |
| func @resources_allocated_with_same_nonempty_shared_name( |
| // expected-remark@above {{ID: 9}} |
| %key: tensor<!tf_type.string>, |
| %value: tensor<i64>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 7}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Successors: {6}}} |
| %handle1 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "some_name", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource> |
| // expected-remark@above {{ID: 0}} |
| %handle2 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "some_name", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource> |
| // expected-remark@above {{ID: 1}} |
| "tf.InitializeTableV2"(%handle1, %key, %value) : (tensor<!tf_type.resource>, tensor<!tf_type.string>, tensor<i64>) -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {3}}} |
| "tf.InitializeTableV2"(%handle2, %key, %value) : (tensor<!tf_type.resource>, tensor<!tf_type.string>, tensor<i64>) -> () |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| // expected-remark@above {{Successors: {4}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {5}}} |
| } |
| return |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Sinks: {7}}} |
| } |
| |
| // ----- |
| |
| // Tests two side-effecting ops operating on resources passed as function |
| // parameters. The expectation is that the ops are treated as independent (as |
| // no `tf._resource_arg_unique_id` attributes are present). |
| func @side_effecting_ops_with_different_resources( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<!tf_type.resource>, |
| %arg1: tensor<!tf_type.resource>, |
| %arg2: tensor<f32>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %0 = "tf.StackPushV2"(%arg0, %arg2) {device = "", swap_memory = false} : (tensor<!tf_type.resource>, tensor<f32>) -> tensor<f32> |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| %1 = "tf.StackPushV2"(%arg1, %arg2) {device = "", swap_memory = false} : (tensor<!tf_type.resource>, tensor<f32>) -> tensor<f32> |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0,1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests two side-effecting ops operating on resources that are allocated in the |
| // same function. The expectation is that the ops are treated as independent |
| // (as the involved resource allocators have the `UniqueResourceAllocation` |
| // trait). |
| func @side_effecting_ops_with_different_resources_and_allocations( |
| // expected-remark@above {{ID: 9}} |
| %arg0: tensor<i32>, |
| %arg1: tensor<f32>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 7}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Successors: {6}}} |
| %stack_handle1 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource> |
| // expected-remark@above {{ID: 0}} |
| %stack_handle2 = "tf.StackV2"(%arg0) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource> |
| // expected-remark@above {{ID: 1}} |
| %0 = "tf.StackPushV2"(%stack_handle1, %arg1) {device = "", swap_memory = false} : (tensor<!tf_type.resource>, tensor<f32>) -> tensor<f32> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {4}}} |
| %1 = "tf.StackPushV2"(%stack_handle2, %arg1) {device = "", swap_memory = false} : (tensor<!tf_type.resource>, tensor<f32>) -> tensor<f32> |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {2,3}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Predecessors: {5}}} |
| } |
| return |
| // expected-remark@above {{ID: 8}} |
| // expected-remark@above {{Sinks: {7}}} |
| } |
| |
| // ----- |
| |
| // Tests that we create a dependency for op instances with |
| // `TPUEmbeddingSideEffect` with same device ordinal. |
| func @embedding_effect_same_device( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0) {table_ids = [1, 2], device_ordinal = 1} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0) {table_ids = [1, 2], device_ordinal = 1} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests that we treat different op instances with `TPUEmbeddingSideEffect` as |
| // independent if they have different device ordinals. |
| func @embedding_effect_different_devices( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0) {table_ids = [1, 2], device_ordinal = 1} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0) {table_ids = [1, 2], device_ordinal = 2} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0,1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests that we create dependencies between ops with `TPUEmbeddingSideEffect` |
| // and unknown side-effecting ops. |
| func @mixed_embedding_and_unknown_effects( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2]} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2]} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that we don't create dependencies between ops `EnqueueTPUEmbedding` |
| // ops and other embedding ops that don't have a device ordinal. |
| func @mixed_embedding_and_unknown_effects( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>, |
| %arg1: tensor<8xf32>, |
| %arg2: tensor<8xf32>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2], device_ordinal = 1} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {3}}} |
| "tf.LoadTPUEmbeddingAdagradParameters"(%arg1, %arg2) {config = "", num_shards = 1 : i64, shard_id = 0 : i64, table_id = -1 : i64, table_name = "table1"} : (tensor<8xf32>, tensor<8xf32>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {3}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2], device_ordinal = 2} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {0,1,2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that we create a dependency between two ops with the same op-based |
| // write effect. |
| func @same_op_based_write_effect( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %0 = "tf.GeneratorDataset"(%arg0, %arg0, %arg0) {device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", finalize_func = @__func_a, init_func = @__func_b, next_func = @__func_c, next_func.experimental_ints_on_device = true, operand_segment_sizes = dense<[1, 1, 1]> : vector<3xi32>, output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], metadata = ""} : (tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.variant> |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| %1 = "tf.GeneratorDataset"(%arg0, %arg0, %arg0) {device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", finalize_func = @__func_a, init_func = @__func_b, next_func = @__func_c, next_func.experimental_ints_on_device = true, operand_segment_sizes = dense<[1, 1, 1]> : vector<3xi32>, output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], metadata = ""} : (tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.variant> |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests that we treat ops with different op-based side effects as independent. |
| func @different_op_based_side_effects( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2], device_ordinal = 1} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {3}}} |
| %0 = "tf.GeneratorDataset"(%arg0, %arg0, %arg0) {device = "/job:tpu_host_worker/replica:0/task:0/device:CPU:0", finalize_func = @__func_a, init_func = @__func_b, next_func = @__func_c, next_func.experimental_ints_on_device = true, operand_segment_sizes = dense<[1, 1, 1]> : vector<3xi32>, output_shapes = [#tf_type.shape<>], output_types = [!tf_type.string], metadata = ""} : (tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>) -> tensor<!tf_type.variant> |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {3}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2], device_ordinal = 5} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {0,1,2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that we don't create dependencies between ops with different op-based |
| // and value-based side effects. |
| !tf_res = type tensor<*x!tf_type.resource<tensor<f32>>> |
| func @mixed_op_based_value_based_side_effects( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>, |
| %arg1: !tf_res, |
| %arg2: tensor<f32>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| "tf.AssignVariableOp"(%arg1, %arg2) : (!tf_res, tensor<f32>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| "tf.EnqueueTPUEmbeddingRaggedTensorBatch"(%arg0){table_ids = [1, 2]} : (tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {3}}} |
| "tf.ReadVariableOp"(%arg1) : (!tf_res) -> tensor<f32> |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {1,2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that we create dependencies between ops with `TF_SendRecvSideEffect`. |
| !tf_res = type tensor<*x!tf_type.resource<tensor<f32>>> |
| func @send_recv_effect( |
| // expected-remark@above {{ID: 8}} |
| %arg0: tensor<!tf_type.string>, |
| %arg1: tensor<i64>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 6}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Successors: {5}}} |
| %0 = "tf._XlaRecvAtHostV2"(%arg0, %arg1) {_xla_has_host_transfer = true, key = "host_compute_channel_0_args"} : (tensor<!tf_type.string>, tensor<i64>) -> tensor<f32> |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {2}}} |
| %const = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32> |
| // expected-remark@above {{ID: 1}} |
| "tf._XlaSendFromHostV2"(%const, %arg0, %arg1) {_xla_has_host_transfer = true, key = "host_compute_channel_0_retvals"} : (tensor<f32>, tensor<!tf_type.string>, tensor<i64>) -> () |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {3}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Predecessors: {2}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 5}} |
| // expected-remark@above {{Predecessors: {4}}} |
| } |
| return |
| // expected-remark@above {{ID: 7}} |
| // expected-remark@above {{Sinks: {6}}} |
| } |
| |
| // ----- |
| |
| // Tests that we create a dependency between ops with |
| // `TF_TPUCompileExecuteSideEffect`. |
| func @tpu_compile_execute_effect( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<!tf_type.string>, |
| %arg1: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf.TPUExecute"(%arg0, %arg0) : (tensor<!tf_type.string>, tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| "tf.TPUExecute"(%arg1, %arg1) : (tensor<!tf_type.string>, tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests that we create a dependency between different ops with |
| // `TF_TPUCompileExecuteSideEffect`. |
| func @tpu_compile_execute_effect( |
| // expected-remark@above {{ID: 7}} |
| %arg0: tensor<!tf_type.string>, |
| %arg1: tensor<!tf_type.string>) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| %0:2 = "tf._TPUCompileMlir"() { metadata = "...", mlir_module = "..." } : () -> (tensor<!tf_type.string>, tensor<!tf_type.string>) |
| // expected-remark@above {{ID: 0}} |
| // expected-remark@above {{Successors: {1}}} |
| "tf.TPUExecute"(%arg0, %arg0) : (tensor<!tf_type.string>, tensor<!tf_type.string>) -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Predecessors: {0}}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
| |
| // ----- |
| |
| // Tests that `_TPUDeviceOrdinalPlaceholder` is side-effect-free. |
| func @device_ordinal_placeholder_side_effect_free( |
| // expected-remark@above {{ID: 7}} |
| ) { |
| tf_executor.graph { |
| // expected-remark@above {{ID: 5}} |
| %island = tf_executor.island { |
| // expected-remark@above {{ID: 3}} |
| // expected-remark@above {{Successors: {4}}} |
| "tf._TPUDeviceOrdinalPlaceholder"() : () -> tensor<i64> |
| // expected-remark@above {{ID: 0}} |
| "tf._UnknownSideEffectingOp_"() : () -> () |
| // expected-remark@above {{ID: 1}} |
| // expected-remark@above {{Successors: {2}}} |
| tf_executor.yield |
| // expected-remark@above {{ID: 2}} |
| // expected-remark@above {{Predecessors: {1}}} |
| } |
| tf_executor.fetch %island : !tf_executor.control |
| // expected-remark@above {{ID: 4}} |
| // expected-remark@above {{Predecessors: {3}}} |
| } |
| return |
| // expected-remark@above {{ID: 6}} |
| // expected-remark@above {{Sinks: {5}}} |
| } |
