experiments/STT-tensorflow
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micro: replace ReportError() with TF_LITE_KERNEL_LOG macro

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Replace naked calls to ReportError() with the TF_LITE_KERNEL_LOG
macro to satisfy an internal CI check, even though this file is
not presently included in the build.
This commit is contained in:
Ryan Kuester 2020-12-30 13:26:02 -06:00
parent 88f5e7a3e0
commit c4d0fd2ca1
1 changed files with 7 additions and 7 deletions
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14
tensorflow/lite/micro/kernels/fill.cc
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@ -41,7 +41,8 @@ TfLiteStatus ResizeOutputImpl(TfLiteContext* context, const TfLiteTensor* dims,
T data = GetTensorData<T>(dims)[i];
if (data < 0) {
TfLiteIntArrayFree(output_shape);
context->ReportError(context, "Fill dimensions must be >= 0", dims->type);
TF_LITE_KERNEL_LOG(context, "Fill dimensions must be >= 0",
TfLiteTypeGetName(dims->type));
return kTfLiteError;
}
output_shape->data[i] = data;
@ -57,11 +58,10 @@ TfLiteStatus ResizeOutput(TfLiteContext* context, const TfLiteTensor* dims,
case kTfLiteInt64:
return ResizeOutputImpl<int64_t>(context, dims, output);
default:
context->ReportError(
TF_LITE_KERNEL_LOG(
context,
"Fill only currently supports int32, int64 for input 0, "
"got %d.",
dims->type);
"Fill only currently supports int32, int64 for input 0, got %s.",
TfLiteTypeGetName(dims->type));
return kTfLiteError;
}
}
@ -148,11 +148,11 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
FillString(value, output);
break;
default:
context->ReportError(
TF_LITE_KERNEL_LOG(
context,
"Fill only currently supports int32, int64, float32, bool, string "
"for input 1, got %d.",
value->type);
TfLiteTypeGetName(value->type));
return kTfLiteError;
}
#undef TF_LITE_FILL