| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | exponential_test.py | 29 from tensorflow.python.ops.distributions import exponential as exponential_lib
54 exponential = exponential_lib.Exponential(rate=lam)
56 log_pdf = exponential.log_prob(x)
59 pdf = exponential.prob(x)
71 exponential = exponential_lib.Exponential(rate=rate)
72 log_pdf = exponential.log_prob(0.)
81 exponential = exponential_lib.Exponential(rate=lam)
83 cdf = exponential.cdf(x)
97 exponential = exponential_lib.Exponential(rate=lam)
99 log_survival = exponential.log_survival_function(x)
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | exponential.py | 15 """The Exponential distribution class."""
35 "Exponential",
40 @tf_export(v1=["distributions.Exponential"])
41 class Exponential(gamma.Gamma): class
42 """Exponential distribution.
44 The Exponential distribution is parameterized by an event `rate` parameter.
57 The Exponential distribution is a special case of the Gamma distribution,
61 Exponential(rate) = Gamma(concentration=1., rate)
64 The Exponential distribution uses a `rate` parameter, or "inverse scale",
68 X ~ Exponential(rate=1)
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|
| /external/perfetto/docs/design-docs/ |
| D | heapprofd-sampling.md | 41 then repeatedly draw from the exponential distribution (which is the
43 above 0. The amount of times we had to draw from the exponential
53 exponential draw approach, as for a non-sample, we only need to decrement a
55 from exponential for every sample) is more expensive.
66 We will sample an allocation with probability Exponential(sampling rate) <
70 Because the exponential distribution is memoryless, we can add together
87 sum. This is because the exponential distribution we use is memoryless.
122 estimating the geometric distribution using an exponential distribution, as its
126 Draw sample from exponential distribution with p = 1 / 32000:
163 time, then the memorylessness property of the exponential distribution would
|
| /external/oboe/samples/RhythmGame/third_party/glm/detail/ |
| D | func_exponential.hpp | 4 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
6 /// @defgroup core_func_exponential Exponential functions
31 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
41 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
53 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
63 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
74 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
84 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
96 …gistry/doc/GLSLangSpec.4.20.8.pdf">GLSL 4.20.8 specification, section 8.2 Exponential Functions</a>
|
| /external/webrtc/rtc_base/ |
| D | bit_buffer.h | 23 // and exponential golomb encoded data. For a writable version, use
66 // Reads the exponential golomb encoded value at the current offset.
67 // Exponential golomb values are encoded as:
75 // Reads signed exponential golomb values at the current offset. Signed
76 // exponential golomb values are just the unsigned values mapped to the
129 // Writes the exponential golomb encoded version of the supplied value.
132 // Writes the signed exponential golomb version of the supplied value.
133 // Signed exponential golomb values are just the unsigned values mapped to the
|
| /external/wpa_supplicant_8/wpa_supplicant/ |
| D | autoscan_exponential.c | 2 * WPA Supplicant - auto scan exponential module
59 wpa_printf(MSG_DEBUG, "autoscan exponential: base exponential is %d " in autoscan_exponential_init()
81 wpa_printf(MSG_DEBUG, "autoscan exponential: scan result " in autoscan_exponential_notify_scan()
100 .name = "exponential",
|
| /external/python/python-api-core/google/api_core/ |
| D | retry.py | 15 """Helpers for retrying functions with exponential back-off.
18 exceptions using exponential backoff. Because a exponential sleep algorithm is
22 when using total number of retries and exponential backoff.
126 """Generates sleep intervals based on the exponential back-off algorithm.
128 This implements the `Truncated Exponential Back-off`_ algorithm.
130 .. _Truncated Exponential Back-off:
131 https://cloud.google.com/storage/docs/exponential-backoff
224 """Exponential retry decorator.
226 This class is a decorator used to add exponential back-off retry behavior
|
| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| D | MatrixExponential.h | 59 /** \brief Compute the (3,3)-Padé approximant to the exponential.
76 /** \brief Compute the (5,5)-Padé approximant to the exponential.
94 /** \brief Compute the (7,7)-Padé approximant to the exponential.
115 /** \brief Compute the (9,9)-Padé approximant to the exponential.
137 /** \brief Compute the (13,13)-Padé approximant to the exponential.
162 /** \brief Compute the (17,17)-Padé approximant to the exponential.
200 /** \brief Compute Padé approximant to the exponential.
369 /* Computes the matrix exponential
371 * \param arg argument of matrix exponential (should be plain object)
388 * \brief Proxy for the matrix exponential of some matrix (expression).
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|
| /external/mesa3d/.gitlab-ci/ |
| D | deqp-lima-fails.txt | 42 dEQP-GLES2.functional.shaders.random.exponential.fragment.11,Fail
43 dEQP-GLES2.functional.shaders.random.exponential.fragment.12,Fail
44 dEQP-GLES2.functional.shaders.random.exponential.fragment.14,Fail
45 dEQP-GLES2.functional.shaders.random.exponential.fragment.37,Fail
46 dEQP-GLES2.functional.shaders.random.exponential.fragment.5,Fail
47 dEQP-GLES2.functional.shaders.random.exponential.fragment.74,Fail
|
| /external/icu/icu4c/source/data/locales/ |
| D | gd.txt | 30 exponential{"E"}
47 exponential{"اس"}
64 exponential{"×۱۰^"}
81 exponential{"E"}
98 exponential{"E"}
115 exponential{"E"}
132 exponential{"E"}
149 exponential{"E"}
167 exponential{"E"}
347 exponential{"E"}
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|
| /external/libbrillo/brillo/ |
| D | backoff_entry.h | 13 // Provides the core logic needed for randomized exponential back-off
24 // exponential back-off rules.
50 // is the first delay once we start exponential backoff.
68 // be rejected at the present time due to exponential back-off policy.
101 // Timestamp calculated by the exponential back-off algorithm at which we are
|
| /external/icu/icu4c/source/i18n/ |
| D | double-conversion-double-to-string.h | 120 // The exponent_character is used in exponential representations. It is
136 // max_leading_padding_zeroes before returning the number in exponential
143 // returning an exponential representation. A zero added by the
150 // The min_exponent_width is used for exponential representations.
185 // Lower case 'e' for exponential values.
195 // exponential representation.
226 // - the longest exponential representation. (A negative number with
279 // Computes a representation in exponential format with requested_digits
281 // If requested_digits equals -1, then the shortest exponential representation
315 // either in exponential or decimal format, depending on
[all …]
|
| /external/icu/libicu/cts_headers/ |
| D | double-conversion-double-to-string.h | 120 // The exponent_character is used in exponential representations. It is
136 // max_leading_padding_zeroes before returning the number in exponential
143 // returning an exponential representation. A zero added by the
150 // The min_exponent_width is used for exponential representations.
185 // Lower case 'e' for exponential values.
195 // exponential representation.
226 // - the longest exponential representation. (A negative number with
279 // Computes a representation in exponential format with requested_digits
281 // If requested_digits equals -1, then the shortest exponential representation
315 // either in exponential or decimal format, depending on
[all …]
|
| /external/cldr/seed/main/ |
| D | scn.xml | 563 <exponential draft="unconfirmed">↑↑↑</exponential>
578 <exponential draft="unconfirmed">↑↑↑</exponential>
592 <exponential draft="unconfirmed">↑↑↑</exponential>
605 <exponential draft="unconfirmed">↑↑↑</exponential>
620 <exponential draft="unconfirmed">↑↑↑</exponential>
635 <exponential draft="unconfirmed">↑↑↑</exponential>
650 <exponential draft="unconfirmed">↑↑↑</exponential>
665 <exponential draft="unconfirmed">↑↑↑</exponential>
680 <exponential draft="unconfirmed">↑↑↑</exponential>
710 <exponential draft="unconfirmed">↑↑↑</exponential>
[all …]
|
| /external/eigen/unsupported/Eigen/ |
| D | MatrixFunctions | 35 * - \ref matrixbase_exp "MatrixBase::exp()", for computing the matrix exponential
116 Compute the matrix exponential.
122 \param[in] M matrix whose exponential is to be computed.
123 \returns expression representing the matrix exponential of \p M.
125 The matrix exponential of \f$ M \f$ is defined by
127 The matrix exponential can be used to solve linear ordinary
132 The matrix exponential is different from applying the exp function to all the entries in the matrix.
139 The matrix exponential is computed using the scaling-and-squaring
141 rescaled, then the exponential of the reduced matrix is computed
148 scaling and squaring method for the matrix exponential revisited,"
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|
| /external/tensorflow/tensorflow/python/keras/ |
| D | activations.py | 99 """Exponential Linear Unit.
101 The exponential linear unit (ELU) with `alpha > 0` is:
135 The exponential linear unit (ELU) activation function: `x` if `x > 0` and
140 [Fast and Accurate Deep Network Learning by Exponential Linear Units
149 """Scaled Exponential Linear Unit (SELU).
151 The Scaled Exponential Linear Unit (SELU) activation function is defined as:
186 The scaled exponential unit activation: `scale * elu(x, alpha)`.
410 @keras_export('keras.activations.exponential')
412 def exponential(x): function
413 """Exponential activation function.
[all …]
|
| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| D | concat_test.cc | 564 exponential.138 = f32[4]{0} exponential(negate.137) in XLA_TEST_F()
565 log-plus-one.139 = f32[4]{0} log-plus-one(exponential.138) in XLA_TEST_F()
587 exponential.228 = f32[4]{0} exponential(negate.227) in XLA_TEST_F()
588 log-plus-one.229 = f32[4]{0} log-plus-one(exponential.228) in XLA_TEST_F()
610 exponential.318 = f32[4]{0} exponential(negate.317) in XLA_TEST_F()
611 log-plus-one.319 = f32[4]{0} log-plus-one(exponential.318) in XLA_TEST_F()
633 exponential.408 = f32[4]{0} exponential(negate.407) in XLA_TEST_F()
634 log-plus-one.409 = f32[4]{0} log-plus-one(exponential.408) in XLA_TEST_F()
656 exponential.498 = f32[4]{0} exponential(negate.497) in XLA_TEST_F()
657 log-plus-one.499 = f32[4]{0} log-plus-one(exponential.498) in XLA_TEST_F()
[all …]
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_Exp.pbtxt | 3 summary: "Computes exponential of x element-wise. \\\\(y = e^x\\\\)."
5 This function computes the exponential of every element in the input tensor.
18 For complex numbers, the exponential value is calculated as follows:
|
| /external/deqp/external/openglcts/data/mustpass/gles/aosp_mustpass/3.2.2.x/ |
| D | gles2-master.txt | 4825 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_float_vertex
4826 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_float_fragment
4827 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_float_vertex
4828 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_float_fragment
4829 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec2_vertex
4830 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec2_fragment
4831 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_vec2_vertex
4832 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_vec2_fragment
4833 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec3_vertex
4834 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec3_fragment
[all …]
|
| /external/deqp/external/openglcts/data/mustpass/gles/aosp_mustpass/3.2.2.x/src/ |
| D | gles2-master.txt | 4825 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_float_vertex
4826 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_float_fragment
4827 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_float_vertex
4828 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_float_fragment
4829 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec2_vertex
4830 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec2_fragment
4831 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_vec2_vertex
4832 dEQP-GLES2.functional.shaders.operator.exponential.pow.highp_vec2_fragment
4833 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec3_vertex
4834 dEQP-GLES2.functional.shaders.operator.exponential.pow.mediump_vec3_fragment
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|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.distributions.-exponential.pbtxt | 1 path: "tensorflow.distributions.Exponential"
3 is_instance: "<class \'tensorflow.python.ops.distributions.exponential.Exponential\'>"
50 …stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Exponential\'], "
|
| /external/tensorflow/tensorflow/compiler/mlir/xla/tests/translate/ |
| D | if_conditional.hlotxt | 15 …%exponential.14 = f32[] exponential(%get-tuple-element.13), metadata={op_type="Exp" op_name="cond/…
16 ROOT %tuple.15 = (f32[]) tuple(%exponential.14), metadata={op_name="XLA_Retvals"}
41 // CHECK: [[R8:%.+]] = "mhlo.exponential"([[R7]])
|
| /external/oboe/apps/OboeTester/app/src/main/java/com/google/sample/oboe/manualtest/ |
| D | ExponentialTaper.java | 20 * Maps integer range info to a double value along an exponential scale.
64 public double exponentialToLinear(double exponential) { in exponentialToLinear() argument
65 return Math.log((exponential + offset) / a) / (b * Math.log(ROOT)); in exponentialToLinear()
|
| /external/rust/crates/regex/ |
| D | PERFORMANCE.md | 13 exponential time.
27 exponential behavior doesn't mean we are immune from large constant factors
237 ## Excessive counting can lead to exponential state blow up in the DFA
242 Wait, didn't I say that this crate guards against exponential worst cases?
244 an exponential blow up in the number of states. This crate specifically guards
245 against exponential blow up by doing two things:
260 In effect, this crate will detect exponential state blow up and fall back to
|
| /external/virglrenderer/ci/previous_results/archived/gl_host_amdgpu/deqp_gles2/ |
| D | results.txt | 3224 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_float_fragmen…
3225 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_float_vertex …
3226 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_vec2_fragment…
3227 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_vec2_vertex P…
3228 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_vec3_fragment…
3229 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_vec3_vertex P…
3230 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_vec4_fragment…
3231 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp2_vec4_vertex P…
3232 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp_float_fragment…
3233 dEQP-GLES2.functional.shaders.constant_expressions.builtin_functions.exponential.exp_float_vertex P…
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|