| /external/ltp/testcases/network/multicast/mc_member/ |
| mc_member_test.c | 13 static int errors; variable
91 errors++;
104 if (errors)
133 errors++;
167 errors++;
|
| /external/python/cpython3/Tools/i18n/ |
| makelocalealias.py | 109 errors = check(data)
111 if errors:
118 errors = 0
123 errors += 1
124 return errors
|
| /external/skia/src/sksl/ |
| SkSLSectionAndParameterHelper.h | 41 SectionAndParameterHelper(const Program& program, ErrorReporter& errors) {
59 errors.error(s->fOffset,
64 errors.error(s->fOffset,
68 errors.error(s->fOffset,
73 errors.error(s->fOffset,
|
| /external/skqp/src/sksl/ |
| SkSLSectionAndParameterHelper.h | 41 SectionAndParameterHelper(const Program& program, ErrorReporter& errors) {
59 errors.error(s->fOffset,
64 errors.error(s->fOffset,
68 errors.error(s->fOffset,
73 errors.error(s->fOffset,
|
| /external/syslinux/gpxe/src/util/ |
| symcheck.pl | 165 my $errors = 0;
179 $errors += @nonexistent;
186 $errors += @multiples;
190 print "$errors error(s), $warnings warning(s)\n";
191 exit ( $errors ? 1 : 0 );
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| conv_ops.cc | 189 errors::InvalidArgument("Invalid data format"));
196 errors::InvalidArgument("Sliding window strides field must "
203 errors::Unimplemented("Current implementation does not yet support "
207 errors::InvalidArgument("Dilations field must "
212 errors::Unimplemented("Current implementation does not support "
217 errors::Unimplemented("Dilation values must be positive; ", i,
230 errors::InvalidArgument("input must be ", num_dims(), "-dimensional",
234 errors::InvalidArgument("filter must be ", num_dims(),
243 errors::InvalidArgument(
340 errors::InvalidArgument("Invalid data format"))
[all...] |
| depthtospace_op.cc | 30 errors::InvalidArgument("Invalid data format"));
33 errors::InvalidArgument("Unsupported data format ",
40 errors::InvalidArgument("Block size should be > 1: ", block_size_));
48 errors::InvalidArgument("Input rank should be ", kRequiredDims,
128 errors::InvalidArgument(
|
| /external/tensorflow/tensorflow/contrib/kafka/python/kernel_tests/ |
| kafka_test.py | 24 from tensorflow.python.framework import errors
62 with self.assertRaises(errors.OutOfRangeError):
69 with self.assertRaises(errors.OutOfRangeError):
82 with self.assertRaises(errors.OutOfRangeError):
96 with self.assertRaises(errors.OutOfRangeError):
|
| /external/tensorflow/tensorflow/contrib/tpu/ops/ |
| tpu_embedding_ops.cc | 86 return errors::InvalidArgument("Malformed tpu_embedding_config.");
93 return errors::InvalidArgument("Table id >= num_tables");
158 return errors::InvalidArgument("Malformed tpu_embedding_config.");
165 return errors::InvalidArgument("Table id >= num_tables");
245 return errors::InvalidArgument("Malformed tpu_embedding_config.");
|
| /external/tensorflow/tensorflow/core/kernels/ |
| generate_vocab_remapping_op.cc | 25 #include "tensorflow/core/lib/core/errors.h"
54 errors::InvalidArgument(
62 errors::InvalidArgument("new vocab filename cannot be empty."));
78 errors::InvalidArgument("lookup table size must be larger than "
86 errors::InvalidArgument(
93 errors::InvalidArgument("new vocab filename cannot be empty."));
|
| histogram_op.cc | 85 errors::InvalidArgument("value_range should be a vector."));
87 errors::InvalidArgument(
90 errors::InvalidArgument("nbins should be a scalar."));
98 errors::InvalidArgument("value_range should satisfy value_range[0] < "
103 errors::InvalidArgument("nbins should be a positive number, but got '",
|
| quantized_pooling_ops.cc | 27 #include "tensorflow/core/lib/core/errors.h"
43 errors::InvalidArgument("Sliding window ksize field must "
47 errors::InvalidArgument("Sliding window strides field must "
51 errors::Unimplemented(
67 errors::Unimplemented("Non-spatial pooling is not "
71 errors::InvalidArgument("tensor_in must be 4-dimensional"));
|
| sparse_xent_op.cc | 42 return errors::InvalidArgument(
60 errors::InvalidArgument("logits must be 2-D, but got shape ",
63 errors::InvalidArgument("labels must be 1-D, but got shape ",
66 errors::InvalidArgument(
72 errors::InvalidArgument(
|
| batch_norm_op.cc | 55 errors::InvalidArgument("input must be 4-dimensional",
58 errors::InvalidArgument("mean must be 1-dimensional",
61 errors::InvalidArgument("var must be 1-dimensional",
64 errors::InvalidArgument("beta must be 1-dimensional",
67 errors::InvalidArgument("gamma must be 1-dimensional",
105 errors::InvalidArgument("input must be 4-dimensional",
108 errors::InvalidArgument("mean must be 1-dimensional",
111 errors::InvalidArgument("var must be 1-dimensional",
114 errors::InvalidArgument("gamma must be 1-dimensional",
117 errors::InvalidArgument("out_backprop must be 4-dimensional"
[all...] |
| edit_distance_op.cc | 44 return errors::InvalidArgument(
48 return errors::InvalidArgument(
52 return errors::InvalidArgument(
56 return errors::InvalidArgument(
60 return errors::InvalidArgument(
64 return errors::InvalidArgument(
68 return errors::InvalidArgument(
74 return errors::InvalidArgument(
79 return errors::InvalidArgument(
85 return errors::InvalidArgument
[all...] |
| /external/tensorflow/tensorflow/core/util/ |
| tensor_slice_writer.h | 27 #include "tensorflow/core/lib/core/errors.h"
103 return errors::Internal("Incompatible tensor shape and slice: ", "shape = ",
117 return errors::Internal(
122 return errors::Internal(
155 return errors::Internal("Error writing Tensor. Possible size overflow.");
170 return errors::InvalidArgument(
|
| /external/tensorflow/tensorflow/python/estimator/inputs/queues/ |
| feeding_queue_runner.py | 24 from tensorflow.python.framework import errors
51 `(tf.errors.OutOfRangeError, tf.errors.CancelledError)`.
59 errors.OutOfRangeError, errors.CancelledError)
80 coord: Optional `Coordinator` object for reporting errors and checking
95 except (errors.OutOfRangeError, errors.CancelledError):
104 # Intentionally ignore errors from close_op.
117 # Make sure we account for all terminations: normal or errors
[all...] |
| /external/tensorflow/tensorflow/tools/compatibility/ |
| tf_upgrade_test.py | 40 count, report, errors = (
43 return count, report, errors, out_file.getvalue()
112 _, unused_report, errors, new_text = self._upgrade(text)
114 self.assertEqual(errors, ["test.py:1: tf.reverse requires manual check."])
118 _, unused_report, errors, new_text = self._upgrade(input)
|
| /external/vulkan-validation-layers/libs/vkjson/ |
| vkjson.h | 129 std::string* errors);
138 std::string* errors);
144 std::string* errors);
158 std::string* errors) {
159 return VkJsonDeviceFromJson(json, properties, errors);
|
| /frameworks/native/vulkan/vkjson/ |
| vkjson.h | 129 std::string* errors);
138 std::string* errors);
144 std::string* errors);
158 std::string* errors) {
159 return VkJsonDeviceFromJson(json, properties, errors);
|
| /system/extras/libfec/ |
| fec_process.cpp | 27 size_t errors; member in struct:process_info
38 p->rc = p->func(p->f, p->buf, p->count, p->offset, &p->errors);
94 info[i].errors = 0;
129 f->errors += p->errors;
|
| /external/tensorflow/tensorflow/core/kernels/data/ |
| captured_function.cc | 53 return errors::Internal("No return value for index ", i, ".");
70 return errors::InvalidArgument("Return value ", index,
73 return errors::InvalidArgument("Expected type ",
78 return errors::Internal("Attempted to set return value ", index,
113 return errors::InvalidArgument("Argument ", index, " is out of range.");
115 return errors::Internal("Attempted to get argument ", index,
147 return errors::InvalidArgument("Argument ", index, " is out of range.");
149 return errors::Internal("Attempted to get argument ", index,
175 return errors::Internal("Failed to instantiate function body.");
182 return errors::Internal
[all...] |
| /frameworks/base/tests/Compatibility/src/com/android/compatibilitytest/ |
| AppCompatibility.java | 156 List<String> errors = mAppErrors.get(packageName); local
157 for (int i = 0; i < MAX_NUM_CRASH_SNIPPET && i < errors.size(); i++) {
158 String err = errors.get(i);
163 if (errors.size() > MAX_NUM_CRASH_SNIPPET) {
164 message.append(String.format("\n... %d more errors omitted ...",
165 errors.size() - MAX_NUM_CRASH_SNIPPET));
258 * Launches and activity and queries for errors.
283 List<String> errors; local
285 errors = mAppErrors.get(pkgName);
287 errors = new ArrayList<>()
[all...] |
| /prebuilts/go/darwin-x86/src/os/ |
| exec_unix.go | 10 "errors"
53 var errFinished = errors.New("os: process already finished")
57 return errors.New("os: process already released")
60 return errors.New("os: process not initialized")
69 return errors.New("os: unsupported signal type")
|
| /prebuilts/go/linux-x86/src/os/ |
| exec_unix.go | 10 "errors"
53 var errFinished = errors.New("os: process already finished")
57 return errors.New("os: process already released")
60 return errors.New("os: process not initialized")
69 return errors.New("os: unsupported signal type")
|
