Merge pull request from ddavis-2015:FloorDiv-pr2

PiperOrigin-RevId: 352003292
Change-Id: I888ae62e4f75f61b4260929d657e043deabac18b
This commit is contained in:
TensorFlower Gardener 2021-01-15 07:26:23 -08:00
commit f18495306f
4 changed files with 41 additions and 8 deletions
tensorflow/lite/kernels

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@ -41,12 +41,6 @@ struct OpData {
bool requires_broadcast;
};
template <typename T>
T FloorDiv(T input1, T input2) {
return std::floor(std::divides<double>()(static_cast<double>(input1),
static_cast<double>(input2)));
}
void* Init(TfLiteContext* context, const char* buffer, size_t length) {
auto* data = new OpData;
data->requires_broadcast = false;
@ -118,12 +112,13 @@ TfLiteStatus EvalImpl(TfLiteContext* context, bool requires_broadcast,
reference_ops::BroadcastBinaryFunction4DSlow<T, T, T>(
GetTensorShape(input1), GetTensorData<T>(input1),
GetTensorShape(input2), denominator_data, GetTensorShape(output),
GetTensorData<T>(output), FloorDiv<T>);
GetTensorData<T>(output), reference_ops::FloorDiv<T>);
} else {
reference_ops::BinaryFunction<T, T, T>(
GetTensorShape(input1), GetTensorData<T>(input1),
GetTensorShape(input2), GetTensorData<T>(input2),
GetTensorShape(output), GetTensorData<T>(output), FloorDiv<T>);
GetTensorShape(output), GetTensorData<T>(output),
reference_ops::FloorDiv<T>);
}
return kTfLiteOk;

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@ -469,6 +469,7 @@ cc_library(
"reference/exp.h",
"reference/fill.h",
"reference/floor.h",
"reference/floor_div.h",
"reference/floor_mod.h",
"reference/fully_connected.h",
"reference/hard_swish.h",
@ -583,6 +584,7 @@ cc_library(
"reference/exp.h",
"reference/fill.h",
"reference/floor.h",
"reference/floor_div.h",
"reference/floor_mod.h",
"reference/fully_connected.h",
"reference/hard_swish.h",

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@ -0,0 +1,35 @@
/* Copyright 2020 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 TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FLOOR_DIV_H_
#define TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FLOOR_DIV_H_
#include <cmath>
#include <functional>
#include "tensorflow/lite/kernels/internal/types.h"
namespace tflite {
namespace reference_ops {
template <typename T>
T FloorDiv(T input1, T input2) {
return std::floor(std::divides<double>()(static_cast<double>(input1),
static_cast<double>(input2)));
}
} // namespace reference_ops
} // namespace tflite
#endif // TENSORFLOW_LITE_KERNELS_INTERNAL_REFERENCE_FLOOR_DIV_H_

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@ -48,6 +48,7 @@ limitations under the License.
#include "tensorflow/lite/kernels/internal/reference/exp.h"
#include "tensorflow/lite/kernels/internal/reference/fill.h"
#include "tensorflow/lite/kernels/internal/reference/floor.h"
#include "tensorflow/lite/kernels/internal/reference/floor_div.h"
#include "tensorflow/lite/kernels/internal/reference/floor_mod.h"
#include "tensorflow/lite/kernels/internal/reference/fully_connected.h"
#include "tensorflow/lite/kernels/internal/reference/hard_swish.h"