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author | 2016-01-14 10:20:12 -0800 | |
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committer | 2016-01-14 18:56:14 -0800 | |
commit | 90644c9db115ee99a2a14ba462d70b822ec0804d (patch) | |
tree | e0416237c9f616bbe4b4bf0e9497496f7639628c | |
parent | 05a172d5941a67210109b532a43c08c32ace3226 (diff) |
Run gendocs
Change: 112164149
-rw-r--r-- | tensorflow/g3doc/api_docs/python/array_ops.md | 2 | ||||
-rw-r--r-- | tensorflow/g3doc/api_docs/python/control_flow_ops.md | 12 | ||||
-rw-r--r-- | tensorflow/g3doc/api_docs/python/image.md | 9 | ||||
-rw-r--r-- | tensorflow/g3doc/api_docs/python/nn.md | 7 |
4 files changed, 18 insertions, 12 deletions
diff --git a/tensorflow/g3doc/api_docs/python/array_ops.md b/tensorflow/g3doc/api_docs/python/array_ops.md index 6f59722d01..ae07a6d0ff 100644 --- a/tensorflow/g3doc/api_docs/python/array_ops.md +++ b/tensorflow/g3doc/api_docs/python/array_ops.md @@ -753,7 +753,7 @@ output[2:, :, 3, :, ...] = input[2:, :, 3, :, ...] * <b>`input`</b>: A `Tensor`. The input to reverse. * <b>`seq_lengths`</b>: A `Tensor` of type `int64`. - 1-D with length `input.dims(0)` and + 1-D with length `input.dims(batch_dim)` and `max(seq_lengths) < input.dims(seq_dim)` * <b>`seq_dim`</b>: An `int`. The dimension which is partially reversed. * <b>`batch_dim`</b>: An optional `int`. Defaults to `0`. diff --git a/tensorflow/g3doc/api_docs/python/control_flow_ops.md b/tensorflow/g3doc/api_docs/python/control_flow_ops.md index 276121b1a0..45cb06b81b 100644 --- a/tensorflow/g3doc/api_docs/python/control_flow_ops.md +++ b/tensorflow/g3doc/api_docs/python/control_flow_ops.md @@ -220,7 +220,7 @@ Returns the truth value of (x == y) element-wise. ##### Args: -* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `complex64`, `quint8`, `qint8`, `qint32`. +* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, `quint8`, `qint8`, `qint32`. * <b>`y`</b>: A `Tensor`. Must have the same type as `x`. * <b>`name`</b>: A name for the operation (optional). @@ -238,7 +238,7 @@ Returns the truth value of (x != y) element-wise. ##### Args: -* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `complex64`, `quint8`, `qint8`, `qint32`. +* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, `quint8`, `qint8`, `qint32`. * <b>`y`</b>: A `Tensor`. Must have the same type as `x`. * <b>`name`</b>: A name for the operation (optional). @@ -256,7 +256,7 @@ Returns the truth value of (x < y) element-wise. ##### Args: -* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`. +* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`. * <b>`y`</b>: A `Tensor`. Must have the same type as `x`. * <b>`name`</b>: A name for the operation (optional). @@ -274,7 +274,7 @@ Returns the truth value of (x <= y) element-wise. ##### Args: -* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`. +* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`. * <b>`y`</b>: A `Tensor`. Must have the same type as `x`. * <b>`name`</b>: A name for the operation (optional). @@ -292,7 +292,7 @@ Returns the truth value of (x > y) element-wise. ##### Args: -* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`. +* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`. * <b>`y`</b>: A `Tensor`. Must have the same type as `x`. * <b>`name`</b>: A name for the operation (optional). @@ -310,7 +310,7 @@ Returns the truth value of (x >= y) element-wise. ##### Args: -* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`. +* <b>`x`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `int64`, `uint8`, `int16`, `int8`. * <b>`y`</b>: A `Tensor`. Must have the same type as `x`. * <b>`name`</b>: A name for the operation (optional). diff --git a/tensorflow/g3doc/api_docs/python/image.md b/tensorflow/g3doc/api_docs/python/image.md index 4b0a148a14..938a3b7ffd 100644 --- a/tensorflow/g3doc/api_docs/python/image.md +++ b/tensorflow/g3doc/api_docs/python/image.md @@ -803,10 +803,11 @@ casting. Note that converting from floating point inputs to integer types may lead to over/underflow problems. Set saturate to `True` to avoid such problem in -problematic conversions. Saturation will clip the output into the allowed -range before performing a potentially dangerous cast (i.e. when casting from -a floating point to an integer type, or when casting from an signed to an -unsigned type). +problematic conversions. If enabled, saturation will clip the output into the +allowed range before performing a potentially dangerous cast (and only before +performing such a cast, i.e., when casting from a floating point to an integer +type, and when casting from a signed to an unsigned type; `saturate` has no +effect on casts between floats, or on casts that increase the type's range). ##### Args: diff --git a/tensorflow/g3doc/api_docs/python/nn.md b/tensorflow/g3doc/api_docs/python/nn.md index 418be25ca3..20efa7c655 100644 --- a/tensorflow/g3doc/api_docs/python/nn.md +++ b/tensorflow/g3doc/api_docs/python/nn.md @@ -692,7 +692,12 @@ and a dog at the same time. For brevity, let `x = logits`, `z = targets`. The logistic loss is - x - x * z + log(1 + exp(-x)) + z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x)) + = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x))) + = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x))) + = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x)) + = (1 - z) * x + log(1 + exp(-x)) + = x - x * z + log(1 + exp(-x)) To ensure stability and avoid overflow, the implementation uses |