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Results 1 - 3 of 3 for AssignSubVariableOp (0.24 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
// CHECK-NEXT: [[CONST:%.*]] = "tf.Const" %0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<f32>} : () -> tensor<f32> // CHECK-NEXT: "tf.AssignSubVariableOp"([[UNUSED_RESOURCE]], [[CONST]]) // CHECK: "tf_device.cluster" // CHECK-NEXT: "tf.ReadVariableOp"([[USED_RESOURCE]]) // CHECK-NEXT: "tf.NoOp" // CHECK-NEXT: tf_device.return
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/mlir/tensorflow/tests/decompose_resource_ops.mlir
tf_device.return }) : () -> () func.return } // Tests that composite tf.AssignSubVariableOp operation is decomposed using // SubOp. // CHECK-LABEL: func @decompose_assign_sub_variable_op func.func @decompose_assign_sub_variable_op() -> () { "tf_device.cluster"() ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 51.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
); let results = (outs); TF_DerivedOperandTypeAttr dtype = TF_DerivedOperandTypeAttr<1>; } def TF_AssignSubVariableOp : TF_Op<"AssignSubVariableOp", []> { let summary = "Subtracts a value from the current value of a variable."; let description = [{ Any ReadVariableOp with a control dependency on this op is guaranteed to
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)