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  /external/tensorflow/tensorflow/core/kernels/
parameterized_truncated_normal_op.h 40 typename TTypes<T>::ConstFlat stddevs,
parameterized_truncated_normal_op_gpu.cu.cc 56 const T* means, bool single_mean, const T* stddevs,
94 const T input_stddev = stddevs[single_stddev ? 0 : batch_id];
238 typename TTypes<T>::ConstFlat stddevs,
248 num_elements, means.data(), means.dimension(0) == 1, stddevs.data(),
249 stddevs.dimension(0) == 1, minvals.data(), minvals.dimension(0) == 1,
parameterized_truncated_normal_op.cc 55 typename TTypes<T>::ConstFlat stddevs,
70 auto DoWork = [samples_per_batch, num_elements, &ctx, &means, &stddevs,
98 T stddev = stddevs((stddevs.dimension(0) == 1) ? 0 : b);
363 "Input stddevs should be a scalar or vector, got shape: ",
402 "Input stddevs should have length 1 or shape[0], got shape: ",
  /external/walt/android/WALT/app/src/main/java/org/chromium/latency/walt/
Utils.java 150 double[] stddevs = new double[steps]; local
154 stddevs[i] = getShiftError(laserT, touchT, touchY, bestShift + shiftStep * i - shiftStep * steps / 2);
156 bestShift = argmin(stddevs) * shiftStep + bestShift - shiftStep * steps / 2;
  /external/tensorflow/tensorflow/contrib/training/python/training/
resample_test.py 211 stddevs = [
219 expected_count, actual_count, delta=(stddevs[i] * tol + abs_delta))
  /external/tensorflow/tensorflow/python/kernel_tests/
parameterized_truncated_normal_op_test.py 205 shape=(int(1e5),), means=0.8, stddevs=0.05, minvals=-1., maxvals=1.)
295 stddevs=1.0,
302 stddevs=1.0,
  /external/tensorflow/tensorflow/python/ops/
random_ops.py 90 stddevs=1.0,
106 stddevs: A 0-D Tensor or Python value of type `dtype`. The standard
123 [shape, means, stddevs, minvals, maxvals]) as name:
126 stddevs_tensor = ops.convert_to_tensor(stddevs, dtype=dtype, name="stddevs")

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