experiments/STT-tensorflow
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clang-format + fix missing header that caused a build-error after clang-formatting.

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This commit is contained in:
Advait Jain 2020-12-08 22:04:16 -08:00
parent 6b24408403
commit d2fd64fcfb
4 changed files with 7 additions and 6 deletions
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3
tensorflow/lite/micro/kernels/svdf.cc
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@ -13,6 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License. limitations under the License.
==============================================================================*/ ==============================================================================*/
#include "tensorflow/lite/micro/kernels/svdf.h"
#include <math.h> #include <math.h>
#include "tensorflow/lite/c/builtin_op_data.h" #include "tensorflow/lite/c/builtin_op_data.h"
@ -24,7 +26,6 @@ limitations under the License.
#include "tensorflow/lite/kernels/op_macros.h" #include "tensorflow/lite/kernels/op_macros.h"
#include "tensorflow/lite/micro/kernels/activation_utils.h" #include "tensorflow/lite/micro/kernels/activation_utils.h"
#include "tensorflow/lite/micro/kernels/kernel_util.h" #include "tensorflow/lite/micro/kernels/kernel_util.h"
#include "tensorflow/lite/micro/kernels/svdf.h"
#include "tensorflow/lite/micro/micro_utils.h" #include "tensorflow/lite/micro/micro_utils.h"
namespace tflite { namespace tflite {

2
tensorflow/lite/micro/kernels/svdf.h
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@ -15,6 +15,7 @@ limitations under the License.
#ifndef TENSORFLOW_LITE_MICRO_KERNELS_SVDF_H_ #ifndef TENSORFLOW_LITE_MICRO_KERNELS_SVDF_H_
#define TENSORFLOW_LITE_MICRO_KERNELS_SVDF_H_ #define TENSORFLOW_LITE_MICRO_KERNELS_SVDF_H_
#include "tensorflow/lite/c/builtin_op_data.h"
#include "tensorflow/lite/c/common.h" #include "tensorflow/lite/c/common.h"
namespace tflite { namespace tflite {
@ -34,7 +35,6 @@ struct OpData {
int output_zero_point; int output_zero_point;
}; };
// TensorflowLite Micro-specific reference implementation for Integer SVDF. // TensorflowLite Micro-specific reference implementation for Integer SVDF.
void EvalIntegerSvdfReference(TfLiteContext* context, TfLiteNode* node, void EvalIntegerSvdfReference(TfLiteContext* context, TfLiteNode* node,
const TfLiteEvalTensor* input_tensor, const TfLiteEvalTensor* input_tensor,

1
tensorflow/lite/micro/kernels/svdf_common.cc
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@ -12,7 +12,6 @@
#include "tensorflow/lite/micro/kernels/svdf.h" #include "tensorflow/lite/micro/kernels/svdf.h"
#include "tensorflow/lite/micro/micro_utils.h" #include "tensorflow/lite/micro/micro_utils.h"
namespace tflite { namespace tflite {
void EvalIntegerSvdfReference(TfLiteContext* context, TfLiteNode* node, void EvalIntegerSvdfReference(TfLiteContext* context, TfLiteNode* node,

7
tensorflow/lite/micro/kernels/xtensa/svdf.cc
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@ -13,6 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License. limitations under the License.
==============================================================================*/ ==============================================================================*/
#include "tensorflow/lite/micro/kernels/svdf.h"
#include <math.h> #include <math.h>
#include <xtensa/tie/xt_hifi2.h> #include <xtensa/tie/xt_hifi2.h>
@ -25,7 +27,6 @@ limitations under the License.
#include "tensorflow/lite/kernels/op_macros.h" #include "tensorflow/lite/kernels/op_macros.h"
#include "tensorflow/lite/micro/kernels/activation_utils.h" #include "tensorflow/lite/micro/kernels/activation_utils.h"
#include "tensorflow/lite/micro/kernels/kernel_util.h" #include "tensorflow/lite/micro/kernels/kernel_util.h"
#include "tensorflow/lite/micro/kernels/svdf.h"
#include "tensorflow/lite/micro/kernels/xtensa/fixedpoint_utils.h" #include "tensorflow/lite/micro/kernels/xtensa/fixedpoint_utils.h"
namespace tflite { namespace tflite {
@ -398,8 +399,8 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
EvalIntegerSVDF(context, node, input, weights_feature, weights_time, bias, EvalIntegerSVDF(context, node, input, weights_feature, weights_time, bias,
params, activation_state, output, data); params, activation_state, output, data);
#else #else
EvalIntegerSvdfReference(context, node, input, weights_feature, weights_time, bias, EvalIntegerSvdfReference(context, node, input, weights_feature, weights_time,
params, activation_state, output, data); bias, params, activation_state, output, data);
#endif #endif
return kTfLiteOk; return kTfLiteOk;
} }