Implement sin operator

PiperOrigin-RevId: 196062186

1 files changed, 67 insertions, 0 deletions

diff --git a/tensorflow/contrib/lite/kernels/elementwise.cc b/tensorflow/contrib/lite/kernels/elementwise.cc
new file mode 100644
index 0000000000..6588256df7
--- /dev/null
+++ b/tensorflow/contrib/lite/kernels/elementwise.cc
@@ -0,0 +1,67 @@
+/* Copyright 2018 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.
+==============================================================================*/
+
+#include <cmath>
+#include "tensorflow/contrib/lite/context.h"
+#include "tensorflow/contrib/lite/kernels/internal/tensor.h"
+#include "tensorflow/contrib/lite/kernels/kernel_util.h"
+
+namespace tflite {
+namespace ops {
+namespace builtin {
+namespace elementwise {
+
+TfLiteStatus SinPrepare(TfLiteContext* context, TfLiteNode* node) {
+  TF_LITE_ENSURE_EQ(context, NumInputs(node), 1);
+  TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
+  TfLiteTensor* input = GetInput(context, node, 0);
+  TfLiteTensor* output = GetOutput(context, node, 0);
+  TF_LITE_ENSURE_EQ(context, input->type, output->type);
+  // Quantized float is not supported yet.
+  TF_LITE_ENSURE_EQ(context, input->type, kTfLiteFloat32);
+  return context->ResizeTensor(context, output,
+                               TfLiteIntArrayCopy(input->dims));
+}
+
+TfLiteStatus SinEval(TfLiteContext* context, TfLiteNode* node) {
+  TfLiteTensor* input = GetInput(context, node, 0);
+  TfLiteTensor* output = GetOutput(context, node, 0);
+  switch (input->type) {
+    case kTfLiteFloat32: {
+      size_t elements = NumElements(input);
+      float* in = GetTensorData<float>(input);
+      float* in_end = in + elements;
+      float* out = output->data.f;
+      for (; in < in_end; in++, out++) *out = std::sin(*in);
+      return kTfLiteOk;
+    }
+    default: {
+      context->ReportError(context, "Only float32 is supported currently");
+      return kTfLiteError;
+    }
+  }
+}
+
+}  // namespace elementwise
+
+TfLiteRegistration* Register_SIN() {
+  static TfLiteRegistration r = {nullptr, nullptr, elementwise::SinPrepare,
+                                 elementwise::SinEval};
+  return &r;
+}
+
+}  // namespace builtin
+}  // namespace ops
+}  // namespace tflite