Home
last modified time | relevance | path

Searched refs:div_no_nan (Results 1 – 22 of 22) sorted by relevance

/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/
Dloss.py120 crossent = math_ops.div_no_nan(crossent, total_size)
125 crossent = math_ops.div_no_nan(crossent, total_count)
132 crossent = math_ops.div_no_nan(crossent, total_size)
139 crossent = math_ops.div_no_nan(crossent, total_count)
/external/tensorflow/tensorflow/python/keras/
Dmetrics.py343 return math_ops.div_no_nan(self.total, self.count)
500 relative_errors = math_ops.div_no_nan(
1180 result = math_ops.div_no_nan(self.true_positives,
1306 result = math_ops.div_no_nan(self.true_positives,
1452 specificities = math_ops.div_no_nan(
1462 return math_ops.div_no_nan(
1533 sensitivities = math_ops.div_no_nan(
1543 return math_ops.div_no_nan(
1751 prec_slope = math_ops.div_no_nan(
1757 math_ops.div_no_nan(
[all …]
/external/tensorflow/tensorflow/core/kernels/
Dcwise_op_div.cc27 REGISTER5(BinaryOp, CPU, "DivNoNan", functor::div_no_nan, Eigen::half, float,
37 REGISTER2(BinaryOp, GPU, "DivNoNan", functor::div_no_nan, float, double);
Dcwise_op_gpu_div.cu.cc24 DEFINE_BINARY2(div_no_nan, float, double);
Dcwise_ops.h914 struct div_no_nan : base<T, Eigen::internal::div_no_nan_op<T>> {};
/external/tensorflow/tensorflow/contrib/losses/python/losses/
Dloss_ops.py81 return math_ops.div_no_nan(total_loss, num_present, name="value")
587 term1 = 2.0 * math_ops.div_no_nan(
591 term2 = 2.0 * math_ops.div_no_nan(
/external/tensorflow/tensorflow/python/ops/
Dmetrics_impl.py228 return math_ops.div_no_nan(numerator, denominator, name=name)
383 return math_ops.div_no_nan(t, math_ops.maximum(c, 0), name='value')
387 update_op = math_ops.div_no_nan(
761 prec_slope = math_ops.div_no_nan(
768 math_ops.div_no_nan(
773 math_ops.div_no_nan(
1057 per_class_accuracy = math_ops.div_no_nan(
1066 update_op = math_ops.div_no_nan(
1378 compute_mean = lambda _, t, c: math_ops.div_no_nan( # pylint: disable=g-long-lambda
1384 update_op = math_ops.div_no_nan(
Dmath_grad.py982 math_ops.reduce_sum(math_ops.div_no_nan(grad, y), rx), sx),
985 grad * math_ops.div_no_nan(math_ops.divide(-x, y), y), ry),
1044 math_ops.reduce_sum(math_ops.div_no_nan(grad, y), rx), sx),
1047 grad * math_ops.div_no_nan(math_ops.div_no_nan(-x, y), y),
Dmath_grad_test.py262 outputs = math_ops.div_no_nan(inputs, 1 + math_ops.abs(inputs))
276 outputs = math_ops.div_no_nan(x, y)
Dmath_ops.py1061 def div_no_nan(x, y, name=None): function
1080 return gen_math_ops.div_no_nan(x, y, name=name)
Dmath_ops_test.py557 tf_result = math_ops.div_no_nan(nums, divs).eval()
/external/tensorflow/tensorflow/python/ops/losses/
Dlosses_impl.py93 return math_ops.div_no_nan(total_loss, num_present, name="value")
576 term1 = 2.0 * math_ops.div_no_nan(
582 term2 = 2.0 * math_ops.div_no_nan(
/external/tensorflow/tensorflow/contrib/rate/
Drate.py144 return math_ops.div_no_nan(self.numer,
/external/tensorflow/tensorflow/python/keras/utils/
Dlosses_utils.py162 return math_ops.div_no_nan(total_loss, num_present, name='value')
/external/tensorflow/tensorflow/contrib/metrics/python/ops/
Dmetric_ops.py3223 batch_mean_prediction = math_ops.div_no_nan(
3225 delta_mean_prediction = math_ops.div_no_nan(
3233 batch_mean_label = math_ops.div_no_nan(
3235 delta_mean_label = math_ops.div_no_nan(
3898 math_ops.div_no_nan(
/external/tensorflow/tensorflow/python/ops/parallel_for/
Dmath_test.py162 math_ops.div_no_nan,
Dpfor.py2096 @RegisterPForWithArgs("DivNoNan", math_ops.div_no_nan)
/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/
Dmap_vectorization_test.py154 ("DivNoNan", math_ops.div_no_nan),
/external/tensorflow/tensorflow/python/ops/ragged/
Dragged_dispatch.py366 math_ops.div_no_nan,
Dragged_dispatch_test.py100 math_ops.div_no_nan,
/external/tensorflow/tensorflow/compiler/tests/
Dbinary_ops_test.py616 self._testBinary(gen_math_ops.div_no_nan, nums, divs, expected=np_result)
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.pbtxt1128 name: "div_no_nan"