From 5d670479c6ea20c510fa46ae1bb45123df75e067 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Tue, 9 Oct 2018 20:51:50 -0700 Subject: Add a more verbose error message. PiperOrigin-RevId: 216471178 --- tensorflow/contrib/lite/kernels/embedding_lookup.cc | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) (limited to 'tensorflow/contrib/lite/kernels/embedding_lookup.cc') diff --git a/tensorflow/contrib/lite/kernels/embedding_lookup.cc b/tensorflow/contrib/lite/kernels/embedding_lookup.cc index fe33f98eb0..1d0c71ad48 100644 --- a/tensorflow/contrib/lite/kernels/embedding_lookup.cc +++ b/tensorflow/contrib/lite/kernels/embedding_lookup.cc @@ -78,7 +78,10 @@ TfLiteStatus EvalFloat(TfLiteContext* context, TfLiteNode* node, for (int i = 0; i < SizeOfDimension(lookup, 0); i++) { int idx = lookup->data.i32[i]; if (idx >= row_size || idx < 0) { - context->ReportError(context, "Embedding Lookup: index out of bounds."); + context->ReportError(context, + "Embedding Lookup: index out of bounds. " + "Got %d, and bounds are [0, %d]", + idx, row_size - 1); return kTfLiteError; } else { memcpy(output->data.raw + i * row_bytes, @@ -104,7 +107,10 @@ TfLiteStatus EvalHybrid(TfLiteContext* context, TfLiteNode* node, for (int i = 0; i < SizeOfDimension(lookup, 0); i++) { int idx = lookup->data.i32[i]; if (idx >= row_size || idx < 0) { - context->ReportError(context, "Embedding Lookup: index out of bounds."); + context->ReportError(context, + "Embedding Lookup: index out of bounds. " + "Got %d, and bounds are [0, %d]", + idx, row_size - 1); return kTfLiteError; } else { // Dequantize embedding values. -- cgit v1.2.3