Searched refs:softplus (Results 1 – 25 of 38) sorted by relevance
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | softplus_op_test.py | 42 softplus = nn_ops.softplus(np_features)
43 tf_softplus = self.evaluate(softplus)
46 self.assertShapeEqual(np_softplus, softplus)
81 y = nn_ops.softplus(x, name="softplus")
98 y = nn_ops.softplus(x, name="softplus")
116 y = nn_ops.softplus(x, name="softplus")
134 nn_ops.softplus(constant_op.constant(42)).eval()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SoftplusGrad.pbtxt | 7 The backpropagated gradients to the corresponding softplus operation.
13 The features passed as input to the corresponding softplus operation.
22 summary: "Computes softplus gradients for a softplus operation."
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| D | api_def_Softplus.pbtxt | 3 summary: "Computes softplus: `log(exp(features) + 1)`."
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | bernoulli.py | 156 nn.softplus(-self.logits))
184 delta_probs0 = nn.softplus(-b.logits) - nn.softplus(-a.logits)
185 delta_probs1 = nn.softplus(b.logits) - nn.softplus(a.logits)
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| D | gamma.py | 308 concentration=nn.softplus(concentration,
310 rate=nn.softplus(rate, name="softplus_rate"),
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| D | beta.py | 372 concentration1=nn.softplus(concentration1,
374 concentration0=nn.softplus(concentration0,
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| D | exponential.py | 162 rate=nn.softplus(rate, name="softplus_rate"),
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| D | laplace.py | 238 scale=nn.softplus(scale, name="softplus_scale"),
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| D | normal.py | 267 scale=nn.softplus(scale, name="softplus_scale"),
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| D | student_t.py | 391 scale=nn.softplus(scale, name="softplus_scale"),
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| /external/tensorflow/tensorflow/core/api_def/python_api/ |
| D | api_def_Softplus.pbtxt | 4 name: "math.softplus"
7 name: "nn.softplus"
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| /external/tensorflow/tensorflow/python/keras/ |
| D | activations.py | 197 def softplus(x): function
214 return nn.softplus(x)
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| D | activations_test.py | 119 def softplus(x): function
123 f = backend.function([x], [activations.softplus(x)])
126 expected = softplus(test_values)
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| D | losses.py | 1585 return x + nn.softplus(-2. * x) - math_ops.cast(math_ops.log(2.), x.dtype)
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.activations.pbtxt | 48 name: "softplus"
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.activations.pbtxt | 52 name: "softplus"
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| D | tensorflow.nn.pbtxt | 300 name: "softplus"
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| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | util_test.py | 928 softplus = nn_ops.softplus(np_features)
929 softplus_inverse = du.softplus_inverse(softplus)
931 softplus, softplus_inverse])
943 self.assertShapeEqual(np_softplus, softplus)
989 y = nn_ops.softplus(x, name="softplus")
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| D | exponential_test.py | 189 self.evaluate(nn_ops.softplus(lam)), self.evaluate(exponential.rate))
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| D | beta_test.py | 356 self.evaluate(nn_ops.softplus(a)), self.evaluate(dist.concentration1))
358 self.evaluate(nn_ops.softplus(b)), self.evaluate(dist.concentration0))
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| D | gamma_test.py | 367 self.evaluate(nn_ops.softplus(alpha_v)),
370 self.evaluate(nn_ops.softplus(beta_v)), self.evaluate(gamma.rate))
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| D | laplace_test.py | 353 self.evaluate(nn_ops.softplus(scale_v)), self.evaluate(laplace.scale))
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| D | student_t_test.py | 500 self.evaluate(nn_ops.softplus(sigma)), self.evaluate(student.scale))
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| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/ |
| D | map_vectorization_test.py | 125 ("Softplus", nn.softplus),
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | math_test.py | 139 nn.softplus,
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