diff options
author | A. Unique TensorFlower <gardener@tensorflow.org> | 2018-05-11 19:38:48 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-05-11 19:41:29 -0700 |
commit | 52e2698ac969a0f82c6ce901f80f04818ca8ac4e (patch) | |
tree | 5b89fa879c61cac2f3b64d5edbf405ad616edde5 /tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc | |
parent | 84b5938aaee991d6909e16e56c66bf88e8843fbb (diff) |
Making GetInput from kernel_util.h return a pointer to const data.
PiperOrigin-RevId: 196340200
Diffstat (limited to 'tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc')
-rw-r--r-- | tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc b/tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc index 6c770e7f71..d3be36993c 100644 --- a/tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc +++ b/tensorflow/contrib/lite/kernels/embedding_lookup_sparse.cc @@ -81,19 +81,19 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { TF_LITE_ENSURE_EQ(context, NumInputs(node), 5); TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1); - TfLiteTensor* ids = GetInput(context, node, 0); + const TfLiteTensor* ids = GetInput(context, node, 0); TF_LITE_ENSURE_EQ(context, NumDimensions(ids), 1); TF_LITE_ENSURE_EQ(context, ids->type, kTfLiteInt32); - TfLiteTensor* indices = GetInput(context, node, 1); + const TfLiteTensor* indices = GetInput(context, node, 1); TF_LITE_ENSURE_EQ(context, NumDimensions(indices), 2); TF_LITE_ENSURE_EQ(context, indices->type, kTfLiteInt32); - TfLiteTensor* shape = GetInput(context, node, 2); + const TfLiteTensor* shape = GetInput(context, node, 2); TF_LITE_ENSURE_EQ(context, NumDimensions(shape), 1); TF_LITE_ENSURE_EQ(context, shape->type, kTfLiteInt32); - TfLiteTensor* weights = GetInput(context, node, 3); + const TfLiteTensor* weights = GetInput(context, node, 3); TF_LITE_ENSURE_EQ(context, NumDimensions(weights), 1); TF_LITE_ENSURE_EQ(context, weights->type, kTfLiteFloat32); @@ -102,7 +102,7 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { TF_LITE_ENSURE_EQ(context, SizeOfDimension(indices, 0), SizeOfDimension(weights, 0)); - TfLiteTensor* value = GetInput(context, node, 4); + const TfLiteTensor* value = GetInput(context, node, 4); TF_LITE_ENSURE(context, NumDimensions(value) >= 2); // Mark the output as a dynamic tensor. @@ -139,11 +139,11 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { auto* params = reinterpret_cast<TfLiteEmbeddingLookupSparseParams*>(node->builtin_data); TfLiteTensor* output = GetOutput(context, node, 0); - TfLiteTensor* ids = GetInput(context, node, 0); - TfLiteTensor* indices = GetInput(context, node, 1); - TfLiteTensor* dense_shape = GetInput(context, node, 2); - TfLiteTensor* weights = GetInput(context, node, 3); - TfLiteTensor* value = GetInput(context, node, 4); + const TfLiteTensor* ids = GetInput(context, node, 0); + const TfLiteTensor* indices = GetInput(context, node, 1); + const TfLiteTensor* dense_shape = GetInput(context, node, 2); + const TfLiteTensor* weights = GetInput(context, node, 3); + const TfLiteTensor* value = GetInput(context, node, 4); const int lookup_rank = SizeOfDimension(indices, 1); const int embedding_rank = NumDimensions(value); |