| /external/tensorflow/tensorflow/python/kernel_tests/nn_ops/ |
| D | softplus_op_test.py | 15 """Tests for Softplus and SoftplusGrad."""
38 softplus = nn_ops.softplus(np_features)
39 tf_softplus = self.evaluate(softplus)
42 self.assertShapeEqual(np_softplus, softplus)
77 y = nn_ops.softplus(x, name="softplus")
84 print("softplus (float) gradient err = ", err)
94 y = nn_ops.softplus(x, name="softplus")
102 print("softplus (float) gradient of gradient err = ", err)
112 y = nn_ops.softplus(x, name="softplus")
121 print("softplus (float) third-order gradient err = ", err)
[all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | softplus_op.h | 32 struct Softplus { struct
33 // Computes Softplus activation.
41 // true softplus(x). Offset of 2 from machine epsilon checked in operator()
43 // softplus implemented with numpy's log1p and numpy's logaddexp. in operator()
46 // Value above which exp(x) may overflow, but softplus(x) == x in operator()
49 // Value below which exp(x) may underflow, but softplus(x) == exp(x) in operator()
54 features, // softplus(x) ~= x for x large in operator()
55 too_small.select(features_exp, // softplus(x) ~= exp(x) for x small in operator()
65 // gradients: gradients backpropagated to the Softplus op.
66 // features: inputs that where passed to the Softplus op.
[all …]
|
| D | softplus_op.cc | 40 functor::Softplus<Device, T> functor; in Operate()
81 Name("Softplus").Device(DEVICE_CPU).TypeConstraint<type>("T"), \
96 void Softplus<GPUDevice, T>::operator()( \
99 extern template struct Softplus<GPUDevice, T>;
119 Name("Softplus").Device(DEVICE_GPU).TypeConstraint<type>("T"), \
|
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | Softplus.pbtxt | 2 name: "Softplus"
30 name: "Softplus"
60 name: "Softplus"
91 name: "Softplus"
122 name: "Softplus"
|
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | Softplus.pbtxt | 2 name: "Softplus"
30 name: "Softplus"
60 name: "Softplus"
91 name: "Softplus"
122 name: "Softplus"
|
| /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."
|
| D | api_def_Softplus.pbtxt | 2 graph_op_name: "Softplus"
|
| /external/tensorflow/tensorflow/python/tools/ |
| D | print_selective_registration_header_test.py | 168 ["Softplus", "SoftplusOp<CPUDevice, float>"]]"""
173 ('Softplus', 'SoftplusOp<CPUDevice, float>'),
177 ops_list = '[["Softplus", "SoftplusOp<CPUDevice, float>"]]'
181 ('Softplus', 'SoftplusOp<CPUDevice, float>'),
194 ops_list = '[["Softplus", ""]]'
198 ('Softplus', None),
202 ops_list = '[["Softplus", "SoftplusOp<CPUDevice, float>"]]'
208 ('Softplus', 'SoftplusOp<CPUDevice, float>'),
|
| /external/tensorflow/tensorflow/core/kernels/mlir_generated/ |
| D | gpu_op_softplus.cc | 21 GENERATE_AND_REGISTER_UNARY_GPU_KERNEL(Softplus, DT_HALF);
22 GENERATE_AND_REGISTER_UNARY_GPU_KERNEL(Softplus, DT_FLOAT);
23 GENERATE_AND_REGISTER_UNARY_GPU_KERNEL(Softplus, DT_DOUBLE);
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | unary_ops.cc | 96 static xla::XlaOp Softplus(xla::XlaBuilder* b, xla::XlaOp features) { in Softplus() function
101 // Value above which exp(x) may overflow, but softplus(x) == x in Softplus()
104 // Value below which exp(x) may underflow, but softplus(x) == exp(x) in Softplus()
114 XLAJIT_MAKE_UNARY(Softplus, Softplus(b, x));
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | bernoulli.py | 152 nn.softplus(-self.logits)) # pylint: disable=invalid-unary-operand-type
180 delta_probs0 = nn.softplus(-b.logits) - nn.softplus(-a.logits)
181 delta_probs1 = nn.softplus(b.logits) - nn.softplus(a.logits)
|
| D | gamma.py | 288 """`Gamma` with softplus of `concentration` and `rate`."""
292 "Use `tfd.Gamma(tf.nn.softplus(concentration), "
293 "tf.nn.softplus(rate))` instead.",
304 concentration=nn.softplus(concentration,
306 rate=nn.softplus(rate, name="softplus_rate"),
|
| D | exponential.py | 144 """Exponential with softplus transform on `rate`."""
148 "Use `tfd.Exponential(tf.nn.softplus(rate)).",
158 rate=nn.softplus(rate, name="softplus_rate"),
|
| D | beta.py | 351 """Beta with softplus transform of `concentration1` and `concentration0`."""
355 "Use `tfd.Beta(tf.nn.softplus(concentration1), "
356 "tf.nn.softplus(concentration2))` instead.",
368 concentration1=nn.softplus(concentration1,
370 concentration0=nn.softplus(concentration0,
|
| D | laplace.py | 217 """Laplace with softplus applied to `scale`."""
221 "Use `tfd.Laplace(loc, tf.nn.softplus(scale)) "
234 scale=nn.softplus(scale, name="softplus_scale"),
|
| /external/tensorflow/tensorflow/core/api_def/java_api/ |
| D | api_def_Softplus.pbtxt | 2 graph_op_name: "Softplus"
4 name: "math.Softplus"
|
| /external/tensorflow/tensorflow/lite/testing/op_tests/ |
| D | softplus.py | 24 """Make a set of tests to do softplus."""
38 out = tf.math.softplus(input_tensor)
|
| /external/tensorflow/tensorflow/lite/experimental/mlir/testing/op_tests/ |
| D | softplus.py | 28 """Make a set of tests to do softplus."""
42 out = tf.math.softplus(input_tensor)
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | activations.py | 200 @keras_export('keras.activations.softplus')
202 def softplus(x): function
203 """Softplus activation function, `softplus(x) = log(exp(x) + 1)`.
208 >>> b = tf.keras.activations.softplus(a)
217 The softplus activation: `log(exp(x) + 1)`.
219 return math_ops.softplus(x)
|
| /external/tensorflow/tensorflow/core/kernels/mkl/ |
| D | mkl_fused_mish_op.cc | 51 // mish(x) = x . tanh(softplus(x)) in Compute_Scalar()
52 // y = softplus(x) = ln(1+e^x) in Compute_Scalar()
|
| /external/pytorch/torch/nn/modules/ |
| D | __init__.py | 27 Softplus,
309 "Softplus",
|
| /external/libopus/dnn/training_tf2/ |
| D | decode_rdovae.py | 89 quant_scale = tf.math.softplus(quant_embed[:,:,:nbits])
90 dead_zone = tf.math.softplus(quant_embed[:, :, nbits : 2 * nbits])
|
| D | encode_rdovae.py | 111 quant_scale = tf.math.softplus(quant_embed[:,:,:nbits])
112 dead_zone = tf.math.softplus(quant_embed[:, :, nbits : 2 * nbits])
|
| /external/tensorflow/tensorflow/core/api_def/python_api/ |
| D | api_def_Softplus.pbtxt | 2 graph_op_name: "Softplus"
|
| /external/tensorflow/tensorflow/compiler/mlir/tfrt/python_tests/regression_tests/ |
| D | broadcasting_1.mlir | 13 …%11 = "tf.Softplus"(%10) { device = "/job:localhost/replica:0/task:0/device:CPU:0" } : (tensor<?xf…
20 …%18 = "tf.Softplus"(%17) { device = "/job:localhost/replica:0/task:0/device:CPU:0" } : (tensor<?xf…
|