57 lines
2.2 KiB
C++
57 lines
2.2 KiB
C++
/* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/kernels/stablehlo_elementwise.h"
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#include "tensorflow/lite/core/c/common.h"
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#include "tensorflow/lite/kernels/kernel_util.h"
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namespace tflite {
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namespace ops {
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namespace builtin {
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TfLiteStatus ElementwisePrepare(TfLiteContext* context, TfLiteNode* node) {
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TF_LITE_ENSURE_EQ(context, NumInputs(node), 2);
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TF_LITE_ENSURE_EQ(context, NumOutputs(node), 1);
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const TfLiteTensor* input_tensor1;
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TF_LITE_ENSURE_OK(context,
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GetInputSafe(context, node, kInputTensor1, &input_tensor1));
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const TfLiteTensor* input_tensor2;
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TF_LITE_ENSURE_OK(context,
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GetInputSafe(context, node, kInputTensor2, &input_tensor2));
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// Check the two input tensors have the same type and size.
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TF_LITE_ENSURE_TYPES_EQ(context, input_tensor1->type, input_tensor2->type);
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TF_LITE_ENSURE_EQ(context, input_tensor1->dims->size,
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input_tensor2->dims->size);
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for (int idx = 0; idx < input_tensor1->dims->size; ++idx) {
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TF_LITE_ENSURE_EQ(context, input_tensor1->dims->data[idx],
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input_tensor2->dims->data[idx]);
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}
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TfLiteTensor* output;
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TF_LITE_ENSURE_OK(context,
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GetOutputSafe(context, node, kOutputTensor, &output));
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// We need the copy since ResizeTensor takes ownership of output_size.
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TfLiteIntArray* output_size = TfLiteIntArrayCopy(input_tensor1->dims);
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TF_LITE_ENSURE_STATUS(context->ResizeTensor(context, output, output_size));
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return TfLiteStatus::kTfLiteOk;
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}
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} // namespace builtin
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} // namespace ops
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} // namespace tflite
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