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tensorflow/compiler/mlir/lite/tests/pin-ops-with-side-effects.mlir
func.return } // CHECK-LABEL: @tf_if_gets_control_node func.func @tf_if_gets_control_node(%arg0: tensor<1xi1>)->() { "tf.If"(%arg0) {_lower_using_switch_merge = true, _read_only_resource_inputs = [], device = "", else_branch = @noop, is_stateless = false, output_shapes = [#tf_type.shape<>], then_branch = @noop} : (tensor<1xi1>) -> () func.return } // CHECK-NEXT: %[[CONTROL:.*]] = tfl.control_node controls "tf.If" // CHECK-NEXT: return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 17 10:45:19 UTC 2022 - 5.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/if_op.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops.mlir
%8 = "tf.opI"() : () -> tensor<*xf32> %9 = "tf.opJ"() : () -> tensor<*xi8> %10 = "tf.opK"() : () -> tensor<*xi16> %11 = "tf.opL"() : () -> tensor<*xi64> tf_device.replicate([%0, %1, %2] as %input0: tensor<*xi1>, %9 as %input1: tensor<*xi8>, %10 as %input2: tensor<*xi16>, [%3, %4, %5] as %input3: tensor<*xi32>, [%6, %7, %8] as %input4: tensor<*xf32>, %11 as %input5: tensor<*xi64>) {n = 3 : i32} { tf_device.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 23:53:20 UTC 2024 - 7.7K bytes - Viewed (0)