| /external/libbrillo/brillo/streams/ |
| stream.cc | 33 Error::AddTo(error, FROM_HERE, errors::stream::kDomain,
34 errors::stream::kOperationNotSupported,
52 Error::AddTo(error, FROM_HERE, errors::stream::kDomain,
53 errors::stream::kOperationNotSupported,
108 Error::AddTo(error, FROM_HERE, errors::stream::kDomain,
109 errors::stream::kOperationNotSupported,
125 Error::AddTo(error, FROM_HERE, errors::stream::kDomain,
126 errors::stream::kOperationNotSupported,
166 Error::AddTo(error, FROM_HERE, errors::stream::kDomain,
167 errors::stream::kPartialData
[all...] |
| /external/libunwind/tests/ |
| test-proc-info.c | 41 int errors; variable
44 { ++errors; fprintf (stderr, args); return -1; }
102 ++errors;
|
| /external/ltp/testcases/open_posix_testsuite/conformance/interfaces/lio_listio/ |
| 13-1.c | 46 int errors = 0; local
127 errors++;
137 if (errors != 0)
|
| 5-1.c | 49 int errors = 0; local
108 errors++;
112 if (errors) {
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| cross_op.cc | 31 errors::InvalidArgument("Both inputs must be of same shape: ",
35 errors::InvalidArgument("Input must be at least 1D",
40 errors::FailedPrecondition(
|
| image_resize_ops.cc | 256 errors::Unimplemented(
265 errors::InvalidArgument("input must be 4-dimensional",
272 errors::InvalidArgument("input size must be positive, got [",
278 errors::InvalidArgument("output size must be length 2, got ",
281 errors::InvalidArgument("output size must be positive, got [",
363 errors::Unimplemented("ResizeBilinearGrad with align_corners=False is "
376 errors::InvalidArgument("input must be 4-dimensional",
383 errors::InvalidArgument("input size must be positive, got [",
388 errors::InvalidArgument("gradient must be 4-dimensional",
395 errors::InvalidArgument
[all...] |
| matmul_op.cc | 57 errors::InvalidArgument("In[0] is not a matrix"));
59 errors::InvalidArgument("In[1] is not a matrix"));
65 errors::InvalidArgument("Matrix size-compatible: In[0]: ",
|
| matrix_band_part_op.cc | 33 errors::InvalidArgument(
39 errors::InvalidArgument("num_lower must be scalar, got shape ",
44 errors::InvalidArgument("num_upper must be scalar, got shape ",
|
| tile_ops.cc | 27 #include "tensorflow/core/lib/core/errors.h"
45 errors::InvalidArgument("Expected multiples to be 1-D, but got shape ",
48 errors::InvalidArgument(
73 errors::InvalidArgument("Expected multiples[", i,
|
| /external/tensorflow/tensorflow/contrib/image/kernels/ |
| bipartite_match_op.cc | 45 errors::InvalidArgument(
54 errors::InvalidArgument(
67 errors::InvalidArgument("There should be at least ", num_valid_rows,
|
| /external/tensorflow/tensorflow/core/framework/ |
| dataset.h | 86 return errors::Internal("AddScalar: Failed to build Const op.");
105 return errors::Internal("AddVector: Failed to build Const op.");
117 return errors::Internal("AddTensor: Failed to build Const op.");
175 return errors::InvalidArgument("Unable to find FunctionDef for ",
189 return errors::InvalidArgument(
375 return errors::Unimplemented("SaveInternal");
381 return errors::Unimplemented("RestoreInternal");
419 return errors::Unimplemented("DatasetBase::Save");
444 return errors::Unimplemented("AsGraphDefInternal");
518 if (TF_PREDICT_FALSE(errors::IsOutOfRange(s) && !*end_of_sequence))
[all...] |
| device_base.h | 24 #include "tensorflow/core/lib/core/errors.h"
81 done(errors::Internal("Unrecognized device type in CPU-to-device Copy"));
90 done(errors::Internal("Unrecognized device type in device-to-CPU Copy"));
221 return errors::Internal("Device does not implement MakeTensorFromProto()");
|
| /external/tensorflow/tensorflow/core/graph/ |
| control_flow.cc | 23 #include "tensorflow/core/lib/core/errors.h"
79 return errors::InvalidArgument(
93 return errors::InvalidArgument("The Enter node ", out->name(),
100 return errors::InvalidArgument(
|
| /external/tensorflow/tensorflow/core/kernels/batching_util/ |
| adaptive_shared_batch_scheduler.h | 29 #include "tensorflow/core/lib/core/errors.h"
348 return errors::InvalidArgument("num_batch_threads must be positive; was ",
352 return errors::InvalidArgument(
358 return errors::InvalidArgument(
366 return errors::InvalidArgument(
373 return errors::InvalidArgument(
378 return errors::InvalidArgument(
385 return errors::InvalidArgument(
391 return errors::InvalidArgument(
425 return errors::InvalidArgument("max_batch_size must be positive; was "
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| conv_ops_using_gemm.cc | 299 errors::InvalidArgument("Im2Col patch too large for buffer"));
437 errors::InvalidArgument("Invalid data format"));
439 errors::InvalidArgument(
442 errors::InvalidArgument("Sliding window strides field must "
448 errors::InvalidArgument("Current implementation does not yet support "
464 errors::InvalidArgument("input must be 4-dimensional",
467 errors::InvalidArgument("filter must be 4-dimensional: ",
474 errors::InvalidArgument("filter too large"));
481 errors::InvalidArgument(
494 errors::InvalidArgument("Input rows too large"))
[all...] |
| cross_op.cc | 48 errors::InvalidArgument("Both inputs must be of same shape: ",
52 errors::InvalidArgument("Input must be at least 1D",
62 errors::FailedPrecondition(
|
| diag_op_gpu.cu.cc | 56 return errors::Internal("DiagOp got input size too large.");
70 return errors::Internal(
110 return errors::Internal(
|
| mfcc_op.cc | 45 errors::InvalidArgument("spectrogram must be 3-dimensional",
49 errors::InvalidArgument(
64 errors::InvalidArgument(
|
| quantized_bias_add_op.cc | 26 #include "tensorflow/core/lib/core/errors.h"
47 errors::InvalidArgument("Input tensor must be at least 2D: ",
50 errors::InvalidArgument("Biases must be 1D: ",
55 errors::InvalidArgument(
|
| sparse_tensor_dense_matmul_op.cc | 53 errors::InvalidArgument("Tensor 'b' is not a matrix"));
56 errors::InvalidArgument("Tensor 'a_shape' is not a vector"));
60 errors::InvalidArgument("Tensor 'a_shape' must have 2 elements"));
63 errors::InvalidArgument("Tensor 'a_values' is not a vector"));
66 errors::InvalidArgument("Tensor 'a_indices' is not a matrix"));
70 errors::InvalidArgument("Number of rows of a_indices does not "
75 errors::InvalidArgument("Number of columns of a_indices does not match "
88 errors::InvalidArgument(
110 errors::InvalidArgument("Cannot use GPU for > 2^31 entry inputs"));
112 errors::InvalidArgument
[all...] |
| tensor_array.h | 31 #include "tensorflow/core/lib/core/errors.h"
46 return errors::InvalidArgument(
74 return errors::InvalidArgument(
365 return errors::InvalidArgument("TensorArray ", handle_.vec<string>()(1),
446 return errors::InvalidArgument(
463 return errors::InvalidArgument(
470 return errors::InvalidArgument(
482 return errors::InvalidArgument("TensorArray ", handle_.vec<string>()(1),
488 return errors::InvalidArgument("TensorArray ", handle_.vec<string>()(1),
499 return errors::InvalidArgument
[all...] |
| /external/tensorflow/tensorflow/go/genop/internal/ |
| api_def_map.go | 28 "errors"
72 return nil, errors.New(C.GoString(C.TF_Message(status)))
93 return errors.New(C.GoString(C.TF_Message(status)))
109 return nil, errors.New(C.GoString(C.TF_Message(status)))
|
| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| round_weights.cc | 46 return errors::InvalidArgument("No 'dtype' attribute for Const node ",
50 return errors::InvalidArgument("No 'value' attribute for Const node ",
56 return errors::InvalidArgument("Decoding Tensor failed for node",
|
| /frameworks/base/test-runner/tests/src/android/test/suitebuilder/ |
| UnitTestSuiteBuilderTest.java | 70 private Set<String> errors = new HashSet<String>(); field in class:UnitTestSuiteBuilderTest.SuiteExecutionRecorder
74 errors.add(testName(test));
97 return errors.contains(testName);
|
| /prebuilts/go/darwin-x86/src/crypto/tls/ |
| key_agreement.go | 16 "errors"
23 var errClientKeyExchange = errors.New("tls: invalid ClientKeyExchange message")
24 var errServerKeyExchange = errors.New("tls: invalid ServerKeyExchange message")
49 return nil, errors.New("tls: certificate private key does not implement crypto.Decrypter")
66 return errors.New("tls: unexpected ServerKeyExchange")
118 return nil, crypto.Hash(0), errors.New("tls: unsupported hash function used by peer")
151 return 0, errors.New("tls: unknown signature algorithm")
164 return 0, errors.New("tls: client doesn't support any common hash functions")
213 return nil, errors.New("tls: no supported elliptic curves offered")
230 return nil, errors.New("tls: preferredCurves includes unsupported curve"
[all...] |
