| /external/python/cpython2/Lib/unittest/ |
| result.py | 33 failures and errors that occurred among those test runs. The collections
43 self.errors = []
116 self.errors.append((test, self._exc_info_to_string(err, test)))
146 return len(self.failures) == len(self.errors) == 0
191 return ("<%s run=%i errors=%i failures=%i>" %
192 (util.strclass(self.__class__), self.testsRun, len(self.errors),
|
| runner.py | 108 self.printErrorList('ERROR', self.errors)
111 def printErrorList(self, flavour, errors):
112 for test, err in errors:
122 It prints out the names of tests as they are run, errors as they
179 failed, errored = map(len, (result.failures, result.errors))
183 infos.append("errors=%d" % errored)
|
| /external/python/cpython3/Lib/distutils/ |
| dep_util.py | 8 from distutils.errors import DistutilsFileError
|
| /external/python/cpython3/Lib/distutils/tests/ |
| test_spawn.py | 9 from distutils.errors import DistutilsExecError
|
| /external/strace/ |
| count.c | 43 unsigned int calls, errors; member in struct:call_counts
67 cc->errors++;
171 "calls", "errors", "syscall");
187 error_cum += counts[i].errors;
210 cc->calls, cc->errors, sysent[idx].sys_name);
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| arg_op.cc | 43 errors::InvalidArgument(
|
| batch_norm_op.cc | 35 errors::InvalidArgument("Invalid data format: ", data_format_str));
38 errors::InvalidArgument(
112 errors::InvalidArgument("Invalid data format: ", data_format_str));
115 errors::InvalidArgument(
|
| retval_op.cc | 39 errors::InvalidArgument(
|
| stack_ops.cc | 67 return errors::InvalidArgument(
87 return errors::InvalidArgument(
107 errors::InvalidArgument(
197 errors::InvalidArgument("Stack pop on uninitialized stack"));
|
| /external/tensorflow/tensorflow/compiler/tf2xla/ |
| literal_util.cc | 52 return errors::InvalidArgument(
|
| shape_util.cc | 30 return errors::InvalidArgument("XLA shape ",
|
| type_util.cc | 19 #include "tensorflow/core/lib/core/errors.h"
74 return errors::InvalidArgument(
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
| batch_features.h | 59 return errors::FailedPrecondition("Not initialized yet.");
|
| /external/tensorflow/tensorflow/contrib/coder/kernels/ |
| range_coder_ops_util.cc | 25 using tensorflow::errors::InvalidArgument;
|
| /external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
| range_dataset_op_test.py | 28 from tensorflow.python.framework import errors
59 with self.assertRaises(errors.OutOfRangeError):
137 with self.assertRaises(errors.OutOfRangeError):
152 with self.assertRaises(errors.OutOfRangeError):
|
| /external/tensorflow/tensorflow/contrib/saved_model/cc/saved_model/ |
| signature_def_utils.cc | 18 #include "tensorflow/core/lib/core/errors.h"
31 return errors::NotFound("Could not find ", description, " for key: ", key);
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| costmodel_manager.cc | 62 return errors::InvalidArgument("The cost model graph doesn't exist.");
|
| graph_runner.cc | 61 return errors::Internal("Send of a dead tensor");
67 return errors::Internal("Send of an already sent tensor");
81 status = errors::Internal("Did not find key ", key);
109 return errors::NotFound("Cannot find a device for GraphRunner.");
|
| shape_refiner.cc | 30 #include "tensorflow/core/lib/core/errors.h"
79 return errors::Internal(
99 return errors::Internal(
224 return errors::FailedPrecondition(
249 return errors::InvalidArgument(
283 return errors::Internal("Could not find context for ", node->name());
287 return errors::InvalidArgument(
330 return errors::FailedPrecondition(
393 return errors::InvalidArgument(
479 return errors::FailedPrecondition("Node does not have context.")
[all...] |
| threadpool_device.cc | 78 return errors::InvalidArgument("Cannot parse tensor from proto: ",
|
| /external/tensorflow/tensorflow/core/distributed_runtime/ |
| master_interface.h | 21 #include "tensorflow/core/lib/core/errors.h"
46 return errors::Unimplemented("Partial run not implemented for this master");
|
| /external/tensorflow/tensorflow/core/distributed_runtime/rpc/ |
| grpc_testlib_ops.cc | 33 ctx->SetStatus(errors::Internal(errmsg_));
|
| rpc_rendezvous_mgr_test.cc | 20 #include "tensorflow/core/lib/core/errors.h"
115 rendez->StartAbort(errors::Aborted(""));
121 EXPECT_TRUE(errors::IsAborted(rendez->Recv(key, args, &val, &val_dead)));
135 EXPECT_TRUE(errors::IsAborted(rendez->Recv(key, args, &val, &val_dead)));
153 EXPECT_TRUE(errors::IsAborted(rendez->Recv(key, args, &val, &val_dead)));
|
| /external/tensorflow/tensorflow/core/framework/ |
| fake_input.cc | 23 #include "tensorflow/core/lib/core/errors.h"
106 return errors::InvalidArgument(
133 return errors::InvalidArgument("Could not infer length of input '",
155 return errors::InvalidArgument("Could not infer type for input '",
161 return errors::InvalidArgument("No type or type_attr field in arg '",
|
| op.cc | 22 #include "tensorflow/core/lib/core/errors.h"
94 errors::NotFound("Op type not registered '", op_type_name,
116 return errors::AlreadyExists(
199 s = errors::AlreadyExists("Op with name ", op_reg_data->op_def.name());
239 return errors::NotFound("Op type not registered '", op_type_name,
|
