| /external/tensorflow/tensorflow/python/keras/_impl/keras/utils/ |
| io_utils_test.py | 84 model.add(keras.layers.Dense(1, activation='sigmoid'))
|
| /external/libopus/silk/x86/ |
| VAD_sse.c | 228 /* Scale the sigmoid output based on power levels */
271 /* quality = sigmoid( 0.25 * ( SNR_dB - 16 ) ); */
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| negative_binomial.py | 161 math_ops.sigmoid(-self.logits))
191 return self._mean() / math_ops.sigmoid(-self.logits)
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| logistic.py | 195 return math_ops.sigmoid(self._z(x))
201 return math_ops.sigmoid(-self._z(x))
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| /external/tensorflow/tensorflow/contrib/rnn/ops/ |
| gru_ops.cc | 83 r = sigmoid(r_bar)
84 u = sigmoid(u_bar)
|
| lstm_ops.cc | 74 i = sigmoid(cs_prev * wci + i)
75 f = sigmoid(cs_prev * wcf + f)
81 o = sigmoid(cs * wco + o)
|
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| gru_ops.py | 120 r = sigmoid(r_bar)
121 u = sigmoid(u_bar)
|
| /external/tensorflow/tensorflow/cc/gradients/ |
| math_grad_test.cc | 76 SIGMOID,
156 case SIGMOID:
157 y = Sigmoid(scope_, x);
398 TEST_F(CWiseUnaryGradTest, Sigmoid) {
400 TestCWiseGrad<float, float>(SIGMOID, x_fn);
407 TestCWiseGrad<complex64, complex64>(SIGMOID, x_fn);
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| /external/tensorflow/tensorflow/python/ops/ |
| rnn_cell_impl.py | 438 value = math_ops.sigmoid(gate_inputs)
568 sigmoid = math_ops.sigmoid
589 new_c = add(multiply(c, sigmoid(add(f, forget_bias_tensor))),
590 multiply(sigmoid(i), self._activation(j)))
591 new_h = multiply(self._activation(new_c), sigmoid(o))
776 sigmoid = math_ops.sigmoid
797 c = (sigmoid(f + self._forget_bias + self._w_f_diag * c_prev) * c_prev +
798 sigmoid(i + self._w_i_diag * c_prev) * self._activation(j)
[all...] |
| /external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
| losses_impl.py | 410 L = - real_weights * log(sigmoid(D(x)))
411 - generated_weights * log(1 - sigmoid(D(G(z))))
440 # -log((1 - label_smoothing) - sigmoid(D(x)))
445 # -log(- sigmoid(D(G(x))))
475 L = log(sigmoid(D(x))) + log(1 - sigmoid(D(G(z))))
568 L = -log(sigmoid(D(G(z))))
[all...] |
| /external/tensorflow/tensorflow/contrib/seq2seq/python/ops/ |
| attention_wrapper.py | 693 Takes in unnormalized attention scores, adds pre-sigmoid noise to encourage
694 the model to make discrete attention decisions, passes them through a sigmoid
706 sigmoid_noise: Standard deviation of pre-sigmoid noise. Setting this larger
714 seed: (optional) Random seed for pre-sigmoid noise.
720 # Optionally add pre-sigmoid noise to the scores
727 # When mode is hard, use a hard sigmoid
730 p_choose_i = math_ops.sigmoid(score)
771 through a sigmoid, a learnable scalar bias parameter is applied after the
772 score function and before the sigmoid. Otherwise, it is equivalent to
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dnn.py | 63 "sigmoid": nn.sigmoid
102 "sigmoid".
331 name of the op may also be provided, e.g., "relu", "tanh", or "sigmoid".
611 the op may also be provided, e.g., "relu", "tanh", or "sigmoid".
[all...] |
| logistic_regressor_test.py | 57 predictions = math_ops.sigmoid(logits)
|
| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| TensorFunctors.h | 59 * \brief Template functor to compute the sigmoid of a scalar
60 * \sa class CwiseUnaryOp, ArrayBase::sigmoid()
|
| /external/libopus/silk/ |
| VAD.c | 247 /* Scale the sigmoid output based on power levels */
290 /* quality = sigmoid( 0.25 * ( SNR_dB - 16 ) ); */
|
| /external/libopus/silk/float/ |
| SigProc_FLP.h | 149 /* sigmoid function */
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
| tensor_utils_impl.h | 102 // Apply sigmoid to elements of a vector.
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/reference/ |
| portable_tensor_utils.h | 70 // Apply sigmoid to elements of a vector.
|
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/ |
| tensor_utils.h | 82 // Apply sigmoid to elements of a vector.
|
| /external/tensorflow/tensorflow/contrib/lite/schema/ |
| schema_v0.fbs | 66 SIGMOID = 10,
|
| schema_v1.fbs | 71 SIGMOID = 10,
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| upgrade_schema_test.py | 86 "builtin_code": "SIGMOID"
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| /external/tensorflow/tensorflow/contrib/lite/testing/ |
| BUILD | 45 "sigmoid.zip",
|
| /external/tensorflow/tensorflow/core/kernels/ |
| cwise_ops_gradients.h | 49 // Gradient for the sigmoid function
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| metrics_test.py | 126 outputs = keras.layers.Dense(1, activation='sigmoid')(inputs)
|
