diff options
Diffstat (limited to 'tensorflow/contrib/lite/kernels/internal/kernel_utils.cc')
| -rw-r--r-- | tensorflow/contrib/lite/kernels/internal/kernel_utils.cc | 23 |
1 files changed, 9 insertions, 14 deletions
diff --git a/tensorflow/contrib/lite/kernels/internal/kernel_utils.cc b/tensorflow/contrib/lite/kernels/internal/kernel_utils.cc index 36c25388e8..200f2f1515 100644 --- a/tensorflow/contrib/lite/kernels/internal/kernel_utils.cc +++ b/tensorflow/contrib/lite/kernels/internal/kernel_utils.cc @@ -255,14 +255,6 @@ void LstmStep( output_state_ptr); } -// TODO(alanchiao): move this to tensor_utils. -void VectorMultiply(const int8_t* vector, const int v_size, const float scale, - float* result) { - for (int i = 0; i < v_size; ++i) { - *result++ = scale * *vector++; - } -} - void LstmStep( const float* input_ptr_batch, const int8_t* input_to_input_weights_ptr, float input_to_input_weights_scale, @@ -415,8 +407,9 @@ void LstmStep( // For each batch and cell: update input gate. if (!use_cifg) { if (use_peephole && !is_cell_state_all_zeros) { - VectorMultiply(cell_to_input_weights_ptr, n_cell, - 1. / cell_to_input_weights_scale, recovered_cell_weights); + tensor_utils::VectorScalarMultiply(cell_to_input_weights_ptr, n_cell, + cell_to_input_weights_scale, + recovered_cell_weights); tensor_utils::VectorBatchVectorCwiseProductAccumulate( recovered_cell_weights, n_cell, cell_state_ptr, n_batch, input_gate_scratch); @@ -427,8 +420,9 @@ void LstmStep( // For each batch and cell: update forget gate. if (use_peephole && !is_cell_state_all_zeros) { - VectorMultiply(cell_to_forget_weights_ptr, n_cell, - 1. / cell_to_forget_weights_scale, recovered_cell_weights); + tensor_utils::VectorScalarMultiply(cell_to_forget_weights_ptr, n_cell, + cell_to_forget_weights_scale, + recovered_cell_weights); tensor_utils::VectorBatchVectorCwiseProductAccumulate( recovered_cell_weights, n_cell, cell_state_ptr, n_batch, forget_gate_scratch); @@ -459,8 +453,9 @@ void LstmStep( tensor_utils::IsZeroVector(cell_state_ptr, n_batch * n_cell); // For each batch and cell: update the output gate. if (use_peephole && !is_cell_state_all_zeros) { - VectorMultiply(cell_to_output_weights_ptr, n_cell, - 1. / cell_to_output_weights_scale, recovered_cell_weights); + tensor_utils::VectorScalarMultiply(cell_to_output_weights_ptr, n_cell, + cell_to_output_weights_scale, + recovered_cell_weights); tensor_utils::VectorBatchVectorCwiseProductAccumulate( recovered_cell_weights, n_cell, cell_state_ptr, n_batch, output_gate_scratch); |