Internal Change.

PiperOrigin-RevId: 175307445

1 files changed, 65 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/kernel_util.h b/tensorflow/contrib/lite/kernels/kernel_util.h
new file mode 100644
index 0000000000..25556ae456
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/kernel_util.h
@@ -0,0 +1,65 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+#ifndef THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_KERNELS_KERNEL_UTIL_H_
+#define THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_KERNELS_KERNEL_UTIL_H_
+
+#include "tensorflow/contrib/lite/builtin_op_data.h"
+#include "tensorflow/contrib/lite/context.h"
+
+namespace tflite {
+
+inline int NumDimensions(const TfLiteTensor* t) { return t->dims->size; }
+inline int SizeOfDimension(const TfLiteTensor* t, int dim) {
+  return t->dims->data[dim];
+}
+inline TfLiteTensor* GetInput(TfLiteContext* context, TfLiteNode* node,
+                              int index) {
+  return &context->tensors[node->inputs->data[index]];
+}
+inline TfLiteTensor* GetOutput(TfLiteContext* context, TfLiteNode* node,
+                               int index) {
+  return &context->tensors[node->outputs->data[index]];
+}
+inline int NumInputs(const TfLiteNode* node) { return node->inputs->size; }
+inline int NumOutputs(const TfLiteNode* node) { return node->outputs->size; }
+
+inline TfLiteTensor* GetOptionalInputTensor(TfLiteContext* context,
+                                            const TfLiteNode* node, int index) {
+  const bool use_tensor = node->inputs->data[index] != kOptionalTensor;
+  if (use_tensor) {
+    return &context->tensors[node->inputs->data[index]];
+  }
+  return nullptr;
+}
+
+// Calculates the multiplication factor for a quantized convolution (or
+// quantized depthwise convolution) involving the given tensors. Returns an
+// error if the scales of the tensors are not compatible.
+TfLiteStatus GetQuantizedConvolutionMultipler(
+    TfLiteContext* context, TfLiteTensor* input, TfLiteTensor* filter,
+    TfLiteTensor* bias, TfLiteTensor* output, double* multiplier);
+
+// Calculates the useful range of an activation layer given its activation
+// tensor.
+void CalculateActivationRangeUint8(TfLiteFusedActivation activation,
+                                   TfLiteTensor* output, int32_t* act_min,
+                                   int32_t* act_max);
+void CalculateActivationRangeFloat(TfLiteFusedActivation activation,
+                                   float* activation_min,
+                                   float* activation_max);
+
+}  // namespace tflite
+
+#endif  // THIRD_PARTY_TENSORFLOW_CONTRIB_LITE_KERNELS_KERNEL_UTIL_H_