| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| D | rnn_cells.py | 139 sigmoid = math_ops.sigmoid
161 multiply(c, sigmoid(add(f, forget_bias_tensor))),
162 multiply(sigmoid(i), self._activation(j)))
163 new_h = multiply(self._activation(new_c), sigmoid(o))
299 sigmoid = math_ops.sigmoid
321 sigmoid(f + self._forget_bias + self._w_f_diag * c_prev) * c_prev +
322 sigmoid(i + self._w_i_diag * c_prev) * self._activation(j))
325 sigmoid(f + self._forget_bias) * c_prev +
326 sigmoid(i) * self._activation(j))
333 m = sigmoid(o + self._w_o_diag * c) * self._activation(c)
[all …]
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| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| D | rnn_cell.py | 244 sigmoid = math_ops.sigmoid
294 f_act = sigmoid(f + self._forget_bias + w_f_diag * c_prev)
296 f_act = sigmoid(f + self._forget_bias)
304 m = sigmoid(o + w_o_diag * c) * self._activation(c)
306 m = sigmoid(o) * self._activation(c)
407 sigmoid = math_ops.sigmoid
450 sigmoid(f + self._forget_bias + w_f_diag * c_prev) * c_prev +
451 sigmoid(i + w_i_diag * c_prev) * tanh(j))
453 c = (sigmoid(f + self._forget_bias) * c_prev + sigmoid(i) * tanh(j))
461 m = sigmoid(o + w_o_diag * c) * tanh(c)
[all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | cwise_op_sigmoid.cc | 20 REGISTER5(UnaryOp, CPU, "Sigmoid", functor::sigmoid, float, Eigen::half, double,
23 REGISTER3(UnaryOp, GPU, "Sigmoid", functor::sigmoid, float, Eigen::half,
27 REGISTER(UnaryOp, SYCL, "Sigmoid", functor::sigmoid, float);
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| D | cwise_op_gpu_sigmoid.cu.cc | 23 DEFINE_UNARY3(sigmoid, Eigen::half, float, double);
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| /external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
| D | rnn_cell.py | 416 sigmoid = math_ops.sigmoid
479 sigmoid(f + self._w_f_diag * c_prev) * c_prev +
480 sigmoid(i + self._w_i_diag * c_prev) * self._activation(j))
482 c = (sigmoid(f) * c_prev + sigmoid(i) * self._activation(j))
489 m = sigmoid(o + self._w_o_diag * c) * self._activation(c)
491 m = sigmoid(o) * self._activation(c)
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SigmoidGrad.pbtxt | 4 summary: "Computes the gradient of the sigmoid of `x` wrt its input."
6 Specifically, `grad = dy * y * (1 - y)`, where `y = sigmoid(x)`, and
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| D | api_def_Sigmoid.pbtxt | 3 summary: "Computes sigmoid of `x` element-wise."
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | lstm.py | 72 in_gate = math_ops.sigmoid(in_gate)
73 forget_gate = math_ops.sigmoid(forget_gate)
74 out_gate = math_ops.sigmoid(out_gate)
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | bernoulli.py | 155 return (-self.logits * (math_ops.sigmoid(self.logits) - 1) +
186 return (math_ops.sigmoid(a.logits) * delta_probs0
187 + math_ops.sigmoid(-a.logits) * delta_probs1)
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| /external/tensorflow/tensorflow/contrib/specs/python/ |
| D | specs_ops.py | 81 Cs = Fun(layers.conv2d, activation_fn=math_ops.sigmoid)
90 Fs = Fun(layers.fully_connected, activation_fn=math_ops.sigmoid)
119 Sig = Fun(math_ops.sigmoid)
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| /external/tensorflow/tensorflow/python/ops/ |
| D | rnn_cell_impl.py | 584 value = math_ops.sigmoid(gate_inputs)
758 sigmoid = math_ops.sigmoid
779 new_c = add(multiply(c, sigmoid(add(f, forget_bias_tensor))),
780 multiply(sigmoid(i), self._activation(j)))
781 new_h = multiply(self._activation(new_c), sigmoid(o))
1005 sigmoid = math_ops.sigmoid
1026 c = (sigmoid(f + self._forget_bias + self._w_f_diag * c_prev) * c_prev +
1027 sigmoid(i + self._w_i_diag * c_prev) * self._activation(j))
1029 c = (sigmoid(f + self._forget_bias) * c_prev + sigmoid(i) *
1037 m = sigmoid(o + self._w_o_diag * c) * self._activation(c)
[all …]
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| D | nn.py | 32 from tensorflow.python.ops.math_ops import sigmoid
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| /external/tensorflow/tensorflow/python/keras/ |
| D | activations.py | 181 def sigmoid(x): function
190 return nn.sigmoid(x)
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| D | activations_test.py | 123 sigmoid = np.vectorize(ref_sigmoid)
126 f = keras.backend.function([x], [keras.activations.sigmoid(x)])
129 expected = sigmoid(test_values)
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| /external/tensorflow/tensorflow/contrib/specs/ |
| D | README.md | 25 represents a fully connected layer followed by a sigmoid, whereas `Ft`
34 Nonlinearities (suffixes for C/F, so Cs = convolutional layer + sigmoid):
36 - `s` = sigmoid
51 - `Sig` = tf.nn.sigmoid
191 Sig = Import("import tensorflow as tf; f = tf.nn.sigmoid")
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | negative_binomial.py | 170 math_ops.sigmoid(-self.logits))
200 return self._mean() / math_ops.sigmoid(-self.logits)
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| D | logistic.py | 202 return math_ops.sigmoid(self._z(x))
208 return math_ops.sigmoid(-self._z(x))
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| /external/tensorflow/tensorflow/contrib/labeled_tensor/ |
| D | __init__.py | 76 sigmoid = _core.sigmoid variable
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| /external/libopus/src/ |
| D | mlp.h | 41 int sigmoid; member
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| /external/eigen/unsupported/test/ |
| D | cxx11_tensor_math.cpp | 34 Tensor<float, 1> vec2 = vec1.sigmoid(); in test_sigmoid()
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| /external/tensorflow/tensorflow/contrib/keras/api/keras/activations/ |
| D | __init__.py | 27 from tensorflow.python.keras.activations import sigmoid
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| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| D | distillation_loss.py | 43 return math_ops.sigmoid(logits)
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| D | sigmoid.py | 50 return math_ops.sigmoid(x)
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| /external/tensorflow/tensorflow/contrib/rnn/kernels/ |
| D | gru_ops.h | 101 r.device(d) = (r_u_bar.slice(ru_r_offset(), cell_extents())).sigmoid(); in operator()
102 u.device(d) = (r_u_bar.slice(ru_u_offset(), cell_extents())).sigmoid(); in operator()
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| D | sigmoid_test.py | 24 from tensorflow.contrib.distributions.python.ops.bijectors.sigmoid import Sigmoid
|