/external/tensorflow/tensorflow/python/keras/ |
D | metrics.py | 432 return math_ops.div_no_nan(self.total, self.count) 584 relative_errors = math_ops.div_no_nan( 1319 result = math_ops.div_no_nan(self.true_positives, 1444 result = math_ops.div_no_nan(self.true_positives, 1616 specificities = math_ops.div_no_nan( 1618 sensitivities = math_ops.div_no_nan( 1691 sensitivities = math_ops.div_no_nan( 1693 specificities = math_ops.div_no_nan( 1761 recalls = math_ops.div_no_nan( 1763 precisions = math_ops.div_no_nan( [all …]
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/external/tensorflow/tensorflow/python/framework/experimental/ |
D | math_ops.py | 55 def div_no_nan(a, b, name=None): function 57 return _math_ops.div_no_nan(ctx, a, b, name)
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D | unified_api_test.py | 361 return unified_math_ops.div_no_nan(a, b) 385 result = unified_math_ops.div_no_nan(a, b)
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/external/tensorflow/tensorflow/core/kernels/ |
D | cwise_op_div.cc | 27 REGISTER5(BinaryOp, CPU, "DivNoNan", functor::div_no_nan, Eigen::half, float, 46 REGISTER5(BinaryOp, GPU, "DivNoNan", functor::div_no_nan, Eigen::half, float,
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D | cwise_op_gpu_div.cu.cc | 29 DEFINE_BINARY5(div_no_nan, Eigen::half, float, double, complex64, complex128);
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D | cwise_ops.h | 1031 struct div_no_nan : base<T, Eigen::internal::div_no_nan_op<T>> {};
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/external/tensorflow/tensorflow/python/ops/ |
D | metrics_impl.py | 228 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( 789 prec_slope = math_ops.div_no_nan( 796 math_ops.div_no_nan( 801 math_ops.div_no_nan( 1085 per_class_accuracy = math_ops.div_no_nan( 1094 update_op = math_ops.div_no_nan( 1406 compute_mean = lambda _, t, c: math_ops.div_no_nan( # pylint: disable=g-long-lambda 1412 update_op = math_ops.div_no_nan(
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D | image_grad.py | 167 return math_ops.div_no_nan(1.0, x)
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D | image_grad_test_base.py | 613 s = 1 - math_ops.div_no_nan(b, r) 614 h = 60 * math_ops.div_no_nan(g - b, r - b)
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D | math_grad.py | 1478 math_ops.reduce_sum(math_ops.div_no_nan(grad, y), rx), sx), 1481 grad * math_ops.div_no_nan(math_ops.div_no_nan(-x, y), y), 1944 return math_ops.div_no_nan( 1993 return [math_ops.div_no_nan(out, x), None]
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D | math_grad_test.py | 435 outputs = math_ops.div_no_nan(inputs, 1 + math_ops.abs(inputs)) 449 outputs = math_ops.div_no_nan(x, y)
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D | math_ops.py | 740 return gen_math_ops.div_no_nan( 1411 def div_no_nan(x, y, name=None): function 1426 return gen_math_ops.div_no_nan(x, y, name=name) 4884 return gen_math_ops.div_no_nan(one, x, name=scope)
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D | math_ops_test.py | 606 tf_result = math_ops.div_no_nan(nums, divs)
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/external/tensorflow/tensorflow/python/ops/ragged/ |
D | ragged_tensor_test_ops.py | 89 math_ops.div_no_nan,
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D | ragged_dispatch.py | 372 math_ops.div_no_nan,
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/external/tensorflow/tensorflow/python/ops/losses/ |
D | losses_impl.py | 88 return math_ops.div_no_nan(total_loss, num_present, name="value") 577 term1 = 2.0 * math_ops.div_no_nan( 583 term2 = 2.0 * math_ops.div_no_nan(
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | losses_utils.py | 247 return math_ops.div_no_nan(total_loss, num_present, name='value')
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/external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/ |
D | map_vectorization_test.py | 164 ("DivNoNan", math_ops.div_no_nan),
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | math_test.py | 182 math_ops.div_no_nan,
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D | pfor.py | 2822 @RegisterPForWithArgs("DivNoNan", math_ops.div_no_nan)
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/ |
D | lower_tf.mlir | 63 // CHECK-LABEL: func @div_no_nan 65 func @div_no_nan(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> {
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/external/tensorflow/tensorflow/compiler/tests/ |
D | binary_ops_test.py | 701 gen_math_ops.div_no_nan,
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.pbtxt | 1172 name: "div_no_nan"
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/external/tensorflow/tensorflow/compiler/jit/tests/ |
D | keras_imagenet_main_graph_mode.pbtxt | 44803 name: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp" 44816 name: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp_1" 44861 name: "metrics_2/sparse_categorical_accuracy/div_no_nan" 44863 input: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp" 44864 input: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp_1" 44938 input: "metrics_2/sparse_categorical_accuracy/div_no_nan"
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D | keras_imagenet_main.pbtxt | 48695 name: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp_1" 48708 name: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp" 48790 name: "metrics_2/sparse_categorical_accuracy/div_no_nan" 48792 input: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp" 48793 input: "metrics_2/sparse_categorical_accuracy/div_no_nan/ReadVariableOp_1" 48845 input: "metrics_2/sparse_categorical_accuracy/div_no_nan"
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