diff options
Diffstat (limited to 'tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt')
-rw-r--r-- | tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt | 144 |
1 files changed, 144 insertions, 0 deletions
diff --git a/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt new file mode 100644 index 0000000000..d34f9cde5d --- /dev/null +++ b/tensorflow/tools/api/golden/v2/tensorflow.distributions.-exponential.pbtxt @@ -0,0 +1,144 @@ +path: "tensorflow.distributions.Exponential" +tf_class { + is_instance: "<class \'tensorflow.python.ops.distributions.exponential.Exponential\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.gamma.Gamma\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>" + is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>" + is_instance: "<type \'object\'>" + member { + name: "allow_nan_stats" + mtype: "<type \'property\'>" + } + member { + name: "batch_shape" + mtype: "<type \'property\'>" + } + member { + name: "concentration" + mtype: "<type \'property\'>" + } + member { + name: "dtype" + mtype: "<type \'property\'>" + } + member { + name: "event_shape" + mtype: "<type \'property\'>" + } + member { + name: "name" + mtype: "<type \'property\'>" + } + member { + name: "parameters" + mtype: "<type \'property\'>" + } + member { + name: "rate" + mtype: "<type \'property\'>" + } + member { + name: "reparameterization_type" + mtype: "<type \'property\'>" + } + member { + name: "validate_args" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'Exponential\'], " + } + member_method { + name: "batch_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], " + } + member_method { + name: "cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], " + } + member_method { + name: "copy" + argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None" + } + member_method { + name: "covariance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], " + } + member_method { + name: "cross_entropy" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], " + } + member_method { + name: "entropy" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], " + } + member_method { + name: "event_shape_tensor" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], " + } + member_method { + name: "is_scalar_batch" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], " + } + member_method { + name: "is_scalar_event" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], " + } + member_method { + name: "kl_divergence" + argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], " + } + member_method { + name: "log_cdf" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], " + } + member_method { + name: "log_prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], " + } + member_method { + name: "log_survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], " + } + member_method { + name: "mean" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], " + } + member_method { + name: "mode" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], " + } + member_method { + name: "param_shapes" + argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], " + } + member_method { + name: "param_static_shapes" + argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "prob" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], " + } + member_method { + name: "quantile" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], " + } + member_method { + name: "sample" + argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], " + } + member_method { + name: "stddev" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], " + } + member_method { + name: "survival_function" + argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], " + } + member_method { + name: "variance" + argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], " + } +} |