diff options
| -rw-r--r-- | tensorflow/compiler/xla/tests/BUILD | 1 | ||||
| -rw-r--r-- | tensorflow/compiler/xla/tests/exhaustive_f32_elementwise_op_test.cc | 10 |
2 files changed, 6 insertions, 5 deletions
diff --git a/tensorflow/compiler/xla/tests/BUILD b/tensorflow/compiler/xla/tests/BUILD index d0bda45cf8..30e3077edb 100644 --- a/tensorflow/compiler/xla/tests/BUILD +++ b/tensorflow/compiler/xla/tests/BUILD @@ -647,6 +647,7 @@ xla_test( ], shard_count = 48, tags = [ + "broken", "manual", "notap", ], diff --git a/tensorflow/compiler/xla/tests/exhaustive_f32_elementwise_op_test.cc b/tensorflow/compiler/xla/tests/exhaustive_f32_elementwise_op_test.cc index 738f2600d4..51b50d456e 100644 --- a/tensorflow/compiler/xla/tests/exhaustive_f32_elementwise_op_test.cc +++ b/tensorflow/compiler/xla/tests/exhaustive_f32_elementwise_op_test.cc @@ -45,22 +45,22 @@ class ExhaustiveF32ElementwiseOpTest i < known_incorrect_range.second) { // If the operation is known to be buggy on a specific input clamp that // input to 0 under the assumption that the op is at least correct on 0. - input_literal->Set({i - begin}, 0.0f); + input_literal.Set({i - begin}, 0.0f); } else { - input_literal->Set({i - begin}, tensorflow::bit_cast<float, int>(i)); + input_literal.Set({i - begin}, tensorflow::bit_cast<float, int>(i)); } } TF_ASSERT_OK_AND_ASSIGN(std::unique_ptr<GlobalData> input_data, - client_->TransferToServer(*input_literal)); + client_->TransferToServer(input_literal)); - auto input = Parameter(&builder, 0, input_literal->shape(), "input"); + auto input = Parameter(&builder, 0, input_literal.shape(), "input"); enqueue_op(&builder, input); std::vector<float> expected_result; expected_result.reserve(input_size); for (int64 i = 0; i < input_size; i++) { - expected_result.push_back(evaluate_op(input_literal->Get<float>({i}))); + expected_result.push_back(evaluate_op(input_literal.Get<float>({i}))); } ComputeAndCompareR1<float>(&builder, expected_result, {input_data.get()}, |