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<<81828384858687888990>>

  /external/tensorflow/tensorflow/core/framework/
op_registration_test.cc 53 EXPECT_TRUE(errors::IsAlreadyExists(s));
tensor_slice.cc 18 #include "tensorflow/core/lib/core/errors.h"
61 return errors::InvalidArgument(
67 return errors::InvalidArgument(
245 return errors::Internal("Mismatching ranks: shape = ", shape.DebugString(),
261 return errors::Internal("Extent in dimension ", d,
  /external/tensorflow/tensorflow/core/grappler/utils/
topological_sort.cc 66 return errors::InvalidArgument(
  /external/tensorflow/tensorflow/core/kernels/
adjust_hue_op.cc 58 errors::InvalidArgument("input must be at least 3-D, got shape",
61 errors::InvalidArgument("delta must be scalar: ",
66 errors::InvalidArgument("input must have 3 channels but instead has ",
266 OP_REQUIRES(context, stream, errors::Internal("No GPU stream available."));
adjust_saturation_op.cc 57 errors::InvalidArgument("input must be at least 3-D, got shape",
60 errors::InvalidArgument("scale must be scalar: ",
65 errors::InvalidArgument("input must have 3 channels but instead has ",
232 OP_REQUIRES(context, stream, errors::Internal("No GPU stream available."));
argmax_op.cc 53 errors::InvalidArgument(
63 errors::InvalidArgument("Expected dimension in the range [",
68 errors::InvalidArgument("Reduction axis ", dim, " is empty in shape ",
95 errors::InvalidArgument(
betainc_op.cc 29 #include "tensorflow/core/lib/core/errors.h"
52 errors::InvalidArgument(
58 errors::InvalidArgument(
64 errors::InvalidArgument(
108 ctx->SetStatus(errors::InvalidArgument(
check_numerics_op.cc 89 context->SetStatus(errors::InvalidArgument(message_, " : Tensor had ",
132 errors::Internal("No GPU stream available."), done);
162 errors::Internal("cudaMemcpy from device to host failed"), done);
195 context->SetStatus(errors::InvalidArgument(message_, " : Tensor had ",
conditional_accumulator_base_op.cc 42 ctx->CtxFailureWithWarning(errors::InvalidArgument(
draw_bounding_box_op.cc 23 #include "tensorflow/core/lib/core/errors.h"
40 errors::InvalidArgument("The rank of the images should be 4"));
43 errors::InvalidArgument("The rank of the boxes tensor should be 3"));
45 errors::InvalidArgument("The batch sizes should be the same"));
49 errors::InvalidArgument("Channel depth should be either 1 (GRY), "
identity_reader_op.cc 22 #include "tensorflow/core/lib/core/errors.h"
55 return errors::InvalidArgument("Could not parse state for ", name(), ": ",
matching_files_op.cc 23 #include "tensorflow/core/lib/core/errors.h"
40 errors::InvalidArgument(
mkl_conv_grad_bias_ops.cc 32 #include "tensorflow/core/lib/core/errors.h"
57 errors::InvalidArgument("Invalid data format"));
70 errors::InvalidArgument("Input tensor must be 4-dimensional"));
73 errors::InvalidArgument("input must be 4-dimensional",
82 errors::InvalidArgument("Unknown format ",
mkl_conv_ops.cc 33 #include "tensorflow/core/lib/core/errors.h"
75 errors::InvalidArgument("Invalid data format"));
77 errors::InvalidArgument("Sliding window strides field must "
84 errors::InvalidArgument("Current implementation does not yet support "
104 errors::InvalidArgument("bias must be 1-dimensional: ",
110 errors::InvalidArgument("input must be 4-dimensional",
115 errors::InvalidArgument("filter must be 4-dimensional: ",
122 errors::InvalidArgument("filter too large"));
129 errors::InvalidArgument(
143 errors::InvalidArgument("Input rows too large"))
    [all...]
ops_util.cc 21 #include "tensorflow/core/lib/core/errors.h"
42 return errors::InvalidArgument(
quantize_op.cc 27 #include "tensorflow/core/lib/core/errors.h"
73 errors::InvalidArgument("Mode string must be 'MIN_COMBINED',"
89 errors::InvalidArgument("Round mode string must be "
97 errors::InvalidArgument("Round mode 'HALF_TO_EVEN' "
113 errors::InvalidArgument(
record_yielder.cc 108 s = errors::NotFound("Found no files at ", opts_.file_pattern);
206 shard->status = errors::InvalidArgument("Can't open ", filename);
220 shard->status = errors::Aborted("stopped");
223 } else if (errors::IsOutOfRange(s)) {
self_adjoint_eig_op.cc 24 #include "tensorflow/core/lib/core/errors.h"
62 errors::InvalidArgument("Self Adjoint Eigen decomposition was"
self_adjoint_eig_v2_op_impl.h 24 #include "tensorflow/core/lib/core/errors.h"
70 errors::InvalidArgument("Self-adjoint eigen decomposition was not "
smooth-hinge-loss.h 22 #include "tensorflow/core/lib/core/errors.h"
86 return errors::InvalidArgument(
string_join_op.cc 23 #include "tensorflow/core/lib/core/errors.h"
53 errors::InvalidArgument(
training_op_helpers.cc 27 errors::Internal("Invalid variable reference."));
  /external/tensorflow/tensorflow/core/lib/io/
record_reader.h 121 return errors::InvalidArgument(
recordio_test.cc 17 #include "tensorflow/core/lib/core/errors.h"
81 return errors::DataLoss("read error");
85 return errors::OutOfRange("end of file");
132 } else if (errors::IsOutOfRange(s)) {
171 ASSERT_TRUE(errors::IsOutOfRange(s)) << s;
  /external/tensorflow/tensorflow/core/ops/
array_grad.cc 18 #include "tensorflow/core/lib/core/errors.h"
377 return errors::Unimplemented(
401 return errors::Unimplemented(
436 return errors::Unimplemented(
473 return errors::Unimplemented(

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<<81828384858687888990>>