| // RUN: tf-opt -tf-saved-model-inline-global-tensors -split-input-file %s | FileCheck %s --dump-input=fail |
| |
| module attributes {tf_saved_model.semantics} { |
| |
| // Test case: Simple case of inlining. |
| |
| // CHECK-NOT: tf_saved_model.global_tensor |
| "tf_saved_model.global_tensor"() { sym_name = "c", type = tensor<f32>, value = dense<1.0> : tensor<f32> } : () -> () |
| |
| // CHECK: func @f() |
| func @f(%arg0: tensor<f32> {tf_saved_model.bound_input = @c}) |
| attributes {tf_saved_model.exported_names = ["f"]} { |
| // CHECK: "tf.Const"() {value = dense<1.000000e+00> : tensor<f32>} |
| return |
| } |
| |
| } |
| |
| // ----- |
| |
| module attributes {tf_saved_model.semantics} { |
| |
| // Test case: Do not inline mutable global tensors. |
| |
| // CHECK: tf_saved_model.global_tensor |
| "tf_saved_model.global_tensor"() { is_mutable, sym_name = "v", type = tensor<f32>, value = dense<1.0> : tensor<f32> } : () -> () |
| |
| // CHECK: func @f(%arg0: tensor<!tf.resource<tensor<f32>>> {tf_saved_model.bound_input = @v}) |
| func @f(%arg0: tensor<!tf.resource<tensor<f32>>> {tf_saved_model.bound_input = @v}) |
| attributes {tf_saved_model.exported_names = ["f"]} { |
| // CHECK-NOT: tf.Const |
| return |
| } |
| |
| } |
| |
| // ----- |
| |
| module attributes {tf_saved_model.semantics} { |
| |
| // Test case: Sanity check handling of non-bound inputs. |
| // The pass shouldn't do anything in this case. |
| |
| // CHECK: func @f(%arg0: tensor<f32> {tf_saved_model.index_path = [0]}) |
| func @f(%arg0: tensor<f32> {tf_saved_model.index_path = [0]}) |
| attributes {tf_saved_model.exported_names = ["f"]} { |
| // CHECK-NOT: tf.Const |
| return |
| } |
| |
| } |
| |
| // TODO: have an arg that isn't a bound input. |
