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  /external/tensorflow/tensorflow/lite/kernels/
if.cc 21 namespace tflite { namespace
200 } // namespace tflite
kernel_util.cc 24 namespace tflite { namespace
231 } // namespace tflite
kernel_util_test.cc 21 namespace tflite { namespace
364 } // namespace tflite
367 ::tflite::LogToStderr();
lsh_projection.cc 68 namespace tflite { namespace
203 } // namespace tflite
mfcc.cc 27 namespace tflite { namespace
154 } // namespace tflite
mul.cc 25 namespace tflite { namespace
116 tflite::ArithmeticParams op_params; \
163 tflite::ArithmeticParams op_params;
204 tflite::ArithmeticParams op_params; \
218 tflite::ArithmeticParams op_params; \
301 } // namespace tflite
mul_test.cc 21 namespace tflite { namespace
295 } // namespace tflite
298 ::tflite::LogToStderr();
one_hot.cc 21 namespace tflite { namespace
199 } // namespace tflite
pad.cc 25 namespace tflite { namespace
152 tflite::PadParams op_params; \
307 } // namespace tflite
pad_test.cc 22 namespace tflite { namespace
786 } // namespace tflite
    [all...]
reduce_test.cc 21 namespace tflite { namespace
    [all...]
slice.cc 26 namespace tflite { namespace
172 // The dimensions in the kernel used to be in reverse-order, and TFLite
179 tflite::SliceParams op_params; \
242 } // namespace tflite
space_to_batch_nd.cc 25 namespace tflite { namespace
117 tflite::SpaceToBatchParams op_params; \
200 } // namespace tflite
sparse_to_dense.cc 30 namespace tflite { namespace
93 // Note because TfLite will reverse the dimensions, so pad zeros upfront.
275 } // namespace tflite
sub_test.cc 21 namespace tflite { namespace
419 } // namespace tflite
421 ::tflite::LogToStderr();
test_util.cc 20 namespace tflite { namespace
172 } // namespace tflite
  /external/tensorflow/tensorflow/lite/kernels/internal/
depthwiseconv_float_test.cc 28 namespace tflite { namespace
157 } // namespace tflite
log_quantized_test.cc 34 namespace tflite { namespace
64 double double_result = tflite::TfLiteRound(float_log_sum_of_exps *
135 tflite::log_x_for_x_greater_than_or_equal_to_1_impl<OutputIntegerBits,
309 } // namespace tflite
logsoftmax_quantized_test.cc 34 namespace tflite { namespace
163 tflite::PreprocessLogSoftmaxScalingExp(
170 const int diff_min = -tflite::CalculateInputRadius(kScaledDiffIntegerBits,
214 tflite::PreprocessLogSoftmaxScalingExp(
221 const int diff_min = -tflite::CalculateInputRadius(kScaledDiffIntegerBits,
340 } // namespace tflite
softmax_quantized_test.cc 32 namespace tflite { namespace
115 tflite::PreprocessSoftmaxScaling(beta, input_scale, kScaledDiffIntegerBits,
120 const int diff_min = -tflite::CalculateInputRadius(kScaledDiffIntegerBits,
236 } // namespace tflite
  /external/tensorflow/tensorflow/lite/kernels/internal/optimized/
multithreaded_conv.h 35 namespace tflite { namespace
175 } // namespace tflite
  /external/tensorflow/tensorflow/lite/kernels/internal/reference/
depthwiseconv_float.h 22 namespace tflite { namespace
98 } // end namespace tflite
fully_connected.h 24 namespace tflite { namespace
324 } // namespace tflite
  /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/
conv.h 20 namespace tflite { namespace
126 } // namespace tflite
depthwise_conv.h 20 namespace tflite { namespace
123 } // namespace tflite

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