Searched refs:l1_norm (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/python/ops/linalg/ |
| D | linalg_impl.py | 262 l1_norm = math_ops.reduce_max(
266 const = lambda x: constant_op.constant(x, l1_norm.dtype)
271 math_ops.less(l1_norm, const(vals[0])), cases[0], cases[1])
274 math_ops.less(l1_norm, const(vals[0])), cases[0],
281 math_ops.log(l1_norm / maxnorm) / math_ops.log(const(2.0))), 0)
297 math_ops.log(l1_norm / maxnorm) / math_ops.log(const(2.0))), 0)
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | matrix_exponential_op_test.py | 239 l1_norm = np.max(np.sum(np.abs(matrix), axis=matrix.ndim-2))
240 matrix /= l1_norm
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| /external/webrtc/webrtc/modules/audio_processing/aec/ |
| D | aec_core.c | 761 int64_t l1_norm = 0; in UpdateDelayMetrics() local
790 l1_norm += abs(i - median) * self->delay_histogram[i]; in UpdateDelayMetrics()
792 self->delay_std = (int)((l1_norm + self->num_delay_values / 2) / in UpdateDelayMetrics()
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