diff options
author | 2018-09-27 15:32:38 -0700 | |
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committer | 2018-09-27 15:40:56 -0700 | |
commit | bdab0b3c111bbe1c9656fa2228f1a4d28df5a7bf (patch) | |
tree | decbb27adcafeaadeebbfac3d72774a8397c3042 /tensorflow/c/c_api_experimental.cc | |
parent | a3291ab1f2cb9ea2c4e4b3b9b26ad1a1866dfc50 (diff) |
Added an experimental API for user to set an internal error status.
See
https://github.com/apple/swift/pull/19588/files#diff-923cd5ac82727b31d446c23641b3d749
for an example usage.
Also removed an experimental API that's no longer needed.
PiperOrigin-RevId: 214847132
Diffstat (limited to 'tensorflow/c/c_api_experimental.cc')
-rw-r--r-- | tensorflow/c/c_api_experimental.cc | 34 |
1 files changed, 3 insertions, 31 deletions
diff --git a/tensorflow/c/c_api_experimental.cc b/tensorflow/c/c_api_experimental.cc index f316e4ba67..d4b78138e9 100644 --- a/tensorflow/c/c_api_experimental.cc +++ b/tensorflow/c/c_api_experimental.cc @@ -8738,35 +8738,7 @@ void TFE_TensorHandlePrintDebugString(TFE_TensorHandle* handle) { TF_DeleteStatus(status); } -TFE_TensorHandle* TFE_RunConstOp(TFE_Context* ctx) { - // Intentionally LOG into INFO below for ease of debugging. - VLOG(1) << "TFE_RunConstOp called"; - - auto* status = TF_NewStatus(); - auto* op = TFE_NewOp(ctx, "Const", status); - CheckOk(status); - TFE_OpSetAttrType(op, "dtype", TF_FLOAT); - - auto* tensor = - TF_AllocateTensor(TF_FLOAT, /*shape.data()*/ nullptr, /*shape.size()*/ 0, - TF_DataTypeSize(TF_FLOAT) * 1); - auto* ptr = reinterpret_cast<char*>(TF_TensorData(tensor)); - *reinterpret_cast<float*>(ptr) = 17.0; - - TFE_OpSetAttrTensor(op, "value", tensor, status); - CheckOk(status); - TF_DeleteTensor(tensor); - VLOG(1) << "New op created"; - - TFE_TensorHandle* retval; - int num_retvals = 1; - TFE_Execute(op, &retval, &num_retvals, status); - CheckOk(status); - CHECK_EQ(num_retvals, 1); - VLOG(1) << "Op executed"; - - TFE_DeleteOp(op); - TF_DeleteStatus(status); - - return retval; +TF_CAPI_EXPORT extern void TF_MakeInternalErrorStatus(TF_Status* status, + const char* errMsg) { + status->status = tensorflow::errors::Internal(errMsg); } |