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Make PortableReductionSumVector a template, reducing code duplication.

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PiperOrigin-RevId: 351389401
Change-Id: Id1032673543d6b118e34ec573c5db1ffb1a5ce23
This commit is contained in:
Robert David 2021-01-12 09:45:04 -08:00 committed by TensorFlower Gardener
parent 696cb254a1
commit 61a7ab7203
2 changed files with 12 additions and 45 deletions
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32
tensorflow/lite/kernels/internal/reference/portable_tensor_utils.cc
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@ -726,38 +726,6 @@ void PortableVectorScalarMultiply(const int8_t* vector, const int v_size,
}
}
void PortableReductionSumVector(const float* input_vector, float* output_vector,
int output_size, int reduction_size) {
const float* input_vector_ptr = input_vector;
for (int o = 0; o < output_size; o++) {
for (int r = 0; r < reduction_size; r++) {
output_vector[o] += *input_vector_ptr++;
}
}
}
void PortableReductionSumVector(const int32_t* input_vector,
int32_t* output_vector, int output_size,
int reduction_size) {
const int32_t* input_vector_ptr = input_vector;
for (int o = 0; o < output_size; o++) {
for (int r = 0; r < reduction_size; r++) {
output_vector[o] += *input_vector_ptr++;
}
}
}
void PortableReductionSumVector(const int8_t* input_vector,
int32_t* output_vector, int output_size,
int reduction_size) {
const int8_t* input_vector_ptr = input_vector;
for (int o = 0; o < output_size; o++) {
for (int r = 0; r < reduction_size; r++) {
output_vector[o] += *input_vector_ptr++;
}
}
}
void PortableMeanStddevNormalization(const float* input_vector,
float* output_vector, int v_size,
int n_batch) {

25
tensorflow/lite/kernels/internal/reference/portable_tensor_utils_impl.h
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@ -198,22 +198,21 @@ void PortableSub1Vector(const int16_t* vector, int v_size, int16_t* result);
void PortableVectorScalarMultiply(const int8_t* vector, int v_size, float scale,
float* result);
// Reduce-sum on a float input vector:
// input_vector: float pointer to input vector.
// output_vector: float pointer to vector.
// Reduce-sum on a vector:
// input_vector: pointer to input vector.
// output_vector: pointer to vector.
// output_size: output vector size.
// reduction_size: number of consecutive elements from input vector which are
// added to get one element of output.
void PortableReductionSumVector(const float* input_vector, float* output_vector,
int output_size, int reduction_size);
void PortableReductionSumVector(const int32_t* input_vector,
int32_t* output_vector, int output_size,
int reduction_size);
void PortableReductionSumVector(const int8_t* input_vector,
int32_t* output_vector, int output_size,
int reduction_size);
template <typename IN, typename OUT>
void PortableReductionSumVector(const IN* input_vector, OUT* output_vector,
int output_size, int reduction_size) {
for (int o = 0; o < output_size; o++) {
for (int r = 0; r < reduction_size; r++) {
output_vector[o] += *input_vector++;
}
}
}
// Layer norm for each batch.
void PortableMeanStddevNormalization(const float* input_vector,