diff options
Diffstat (limited to 'tensorflow/contrib/lite/kernels/embedding_lookup.cc')
| -rw-r--r-- | tensorflow/contrib/lite/kernels/embedding_lookup.cc | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/contrib/lite/kernels/embedding_lookup.cc b/tensorflow/contrib/lite/kernels/embedding_lookup.cc index 9410bead5e..b2dff87e62 100644 --- a/tensorflow/contrib/lite/kernels/embedding_lookup.cc +++ b/tensorflow/contrib/lite/kernels/embedding_lookup.cc @@ -29,7 +29,6 @@ limitations under the License. // When indices are out of bound, the ops will not succeed. // -#include <unistd.h> #include <cassert> #include <cmath> #include <cstdio> @@ -94,7 +93,7 @@ TfLiteStatus EvalHybrid(TfLiteContext* context, TfLiteNode* node, const TfLiteTensor* lookup, const TfLiteTensor* value, TfLiteTensor* output) { const int row_size = SizeOfDimension(value, 0); - const double scaling_factor = 1.0 / value->params.scale; + const double scaling_factor = value->params.scale; // col_size after we flatten tensor into 2D. int col_size = 1; @@ -112,8 +111,9 @@ TfLiteStatus EvalHybrid(TfLiteContext* context, TfLiteNode* node, // TODO(alanchiao): refactor scalar multiply into separate function // for ease of adding a neon equivalent if ever necessary. for (int j = 0; j < col_size; j++) { + const int8_t* value_ptr = reinterpret_cast<int8_t*>(value->data.uint8); output->data.f[j + i * col_size] = - value->data.uint8[j + idx * col_size] * scaling_factor; + value_ptr[j + idx * col_size] * scaling_factor; } } } |