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Results 1 - 4 of 4 for exp5 (0.66 sec)
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pkg/apis/core/validation/validation_test.go
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed May 29 22:40:29 UTC 2024 - 857.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
By default, this op performs an inclusive cumulative log-sum-exp, which means that the first element of the input is identical to the first element of the output: ```python tf.math.cumulative_logsumexp([a, b, c]) # => [a, log(exp(a) + exp(b)), log(exp(a) + exp(b) + exp(c))] ``` By setting the `exclusive` kwarg to `True`, an exclusive cumulative log-sum-exp is performed instead: ```python
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/tools/internal/stdlib/manifest.go
{"Cos", Func, 0}, {"Cosh", Func, 0}, {"Dim", Func, 0}, {"E", Const, 0}, {"Erf", Func, 0}, {"Erfc", Func, 0}, {"Erfcinv", Func, 10}, {"Erfinv", Func, 10}, {"Exp", Func, 0}, {"Exp2", Func, 0}, {"Expm1", Func, 0}, {"FMA", Func, 14}, {"Float32bits", Func, 0}, {"Float32frombits", Func, 0}, {"Float64bits", Func, 0}, {"Float64frombits", Func, 0},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 02:20:05 UTC 2024 - 534.2K bytes - Viewed (0) -
RELEASE.md
tf.math.invert_permutation. * Add `tf.math.sobol_sample` op. * Add `tf.math.xlog1py`. * Add `tf.math.special.{dawsn,expi,fresnel_cos,fresnel_sin,spence}`. * Add a Modified Discrete Cosine Transform (MDCT) and its inverse to `tf.signal`. * TPU Enhancements:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)