| // RUN: tf-opt %s | tf-opt | FileCheck %s --dump-input=fail |
| |
| module attributes {tf_saved_model.semantics} { |
| |
| // Representation for constants: (immutable) global tensor. |
| // CHECK: tf_saved_model.global_tensor |
| "tf_saved_model.global_tensor"() { |
| tf_saved_model.exported_names = ["some_const"], |
| sym_name = "some_constant", |
| type = tensor<1x64xf32>, |
| value = dense<42.0> : tensor<1x64xf32> |
| } : () -> () |
| |
| // Representation for variables: mutable global tensor. |
| // CHECK: tf_saved_model.global_tensor |
| "tf_saved_model.global_tensor"() { |
| is_mutable, |
| tf_saved_model.exported_names = ["some_var", "some.other.name"], |
| sym_name = "some_variable", |
| type = tensor<?x64xf32>, |
| value = dense<42.0> : tensor<1x64xf32> |
| } : () -> () |
| |
| // Representation for functions: func's with attributes. |
| // CHECK: func @__concrete_function_run_computation |
| func @__concrete_function_run_computation( |
| %arg0: tensor<f32> {tf_saved_model.index_path = [0, "foo"]}, |
| %arg1: tensor<1x64xf32> {tf_saved_model.bound_input = @some_constant}, |
| %arg2: tensor<!tf.resource<tensor<?x64xf32>>> {tf_saved_model.bound_input = @some_variable} |
| ) -> ( |
| tensor<f32> {tf_saved_model.index_path = [0, "bar"]} |
| ) attributes { tf_saved_model.exported_names = ["some_func"] } |
| { |
| "some_dialect.some_call"() {callee = @f} : () -> () |
| return %arg0 : tensor<f32> |
| } |
| |
| func @f() { |
| return |
| } |
| |
| } |
