From 39afcb2e9956562fd5f8ead3af50868e305749f3 Mon Sep 17 00:00:00 2001 From: Patryk Elszkowski Date: Fri, 16 Jul 2021 06:48:45 +0200 Subject: [PATCH] use `floating-point` in docs (#6659) * use `floating-point` in docs * Get back capital letter. --- docs/ops/activation/Clamp_1.md | 4 ++-- docs/ops/activation/HSigmoid_5.md | 2 +- docs/ops/activation/HSwish_4.md | 2 +- docs/ops/activation/HardSigmoid_1.md | 2 +- docs/ops/activation/LogSoftmax_5.md | 2 +- docs/ops/activation/Sigmoid_1.md | 4 ++-- docs/ops/arithmetic/Acosh_3.md | 2 +- docs/ops/arithmetic/Atanh_3.md | 2 +- docs/ops/arithmetic/Erf_1.md | 2 +- docs/ops/detection/DeformablePSROIPooling_1.md | 4 ++-- docs/ops/detection/DetectionOutput_1.md | 6 +++--- .../ExperimentalDetectronDetectionOutput_6.md | 10 +++++----- ...erimentalDetectronGenerateProposalsSingleImage_6.md | 6 +++--- .../ExperimentalDetectronPriorGridGenerator_6.md | 2 +- .../ExperimentalDetectronROIFeatureExtractor_6.md | 2 +- docs/ops/detection/PSROIPooling_1.md | 2 +- docs/ops/detection/PriorBoxClustered_1.md | 10 +++++----- docs/ops/detection/PriorBox_1.md | 10 +++++----- docs/ops/detection/Proposal_1.md | 2 +- docs/ops/detection/Proposal_4.md | 2 +- docs/ops/detection/ROIAlign_3.md | 2 +- docs/ops/detection/ROIPooling_1.md | 2 +- docs/ops/detection/RegionYolo_1.md | 4 ++-- docs/ops/generation/Range_4.md | 4 ++-- docs/ops/image/Interpolate_1.md | 2 +- docs/ops/image/Interpolate_4.md | 6 +++--- docs/ops/matrix/MatMul_1.md | 2 +- docs/ops/normalization/GRN_1.md | 4 ++-- docs/ops/normalization/LRN_1.md | 2 +- docs/ops/normalization/MVN_1.md | 2 +- docs/ops/normalization/MVN_6.md | 2 +- docs/ops/pooling/MaxPool_1.md | 2 +- docs/ops/sequence/CTCGreedyDecoderSeqLen_6.md | 4 ++-- docs/ops/sequence/CTCGreedyDecoder_1.md | 2 +- docs/ops/sequence/CTCLoss_4.md | 2 +- docs/ops/sequence/GRUCell_3.md | 2 +- docs/ops/sequence/GRUSequence_5.md | 2 +- docs/ops/sequence/LSTMCell_1.md | 2 +- docs/ops/sequence/LSTMSequence_1.md | 2 +- docs/ops/sequence/RNNCell_3.md | 2 +- docs/ops/sequence/RNNSequence_5.md | 2 +- docs/ops/sort/ExperimentalDetectronTopKROIs_6.md | 2 +- docs/ops/sort/MatrixNMS_8.md | 4 ++-- docs/ops/sort/MulticlassNMS_8.md | 4 ++-- docs/ops/sort/NonMaxSuppression_1.md | 8 ++++---- docs/ops/sort/NonMaxSuppression_3.md | 4 ++-- docs/ops/sort/NonMaxSuppression_4.md | 4 ++-- docs/ops/sort/NonMaxSuppression_5.md | 4 ++-- 48 files changed, 81 insertions(+), 81 deletions(-) diff --git a/docs/ops/activation/Clamp_1.md b/docs/ops/activation/Clamp_1.md index 728ce18a6b0ff9..d168ae8ce5718c 100644 --- a/docs/ops/activation/Clamp_1.md +++ b/docs/ops/activation/Clamp_1.md @@ -23,14 +23,14 @@ clamp( x_{i} )=\min\big( \max\left( x_{i}, min\_value \right), max\_value \big) * *min* * **Description**: *min* is the lower bound of values in the output. - * **Range of values**: arbitrary floating point number + * **Range of values**: arbitrary floating-point number * **Type**: `float` * **Required**: *yes* * *max* * **Description**: *max* is the upper bound of values in the output. - * **Range of values**: arbitrary floating point number + * **Range of values**: arbitrary floating-point number * **Type**: `float` * **Required**: *yes* diff --git a/docs/ops/activation/HSigmoid_5.md b/docs/ops/activation/HSigmoid_5.md index b499444b97648d..2470ccb00da629 100644 --- a/docs/ops/activation/HSigmoid_5.md +++ b/docs/ops/activation/HSigmoid_5.md @@ -27,7 +27,7 @@ The HSigmoid operation is introduced in the following [article](https://arxiv.or **Types** -* *T*: any floating point type. +* *T*: any floating-point type. **Examples** diff --git a/docs/ops/activation/HSwish_4.md b/docs/ops/activation/HSwish_4.md index 4d74c811e1f320..a9ae8168a1d3b2 100644 --- a/docs/ops/activation/HSwish_4.md +++ b/docs/ops/activation/HSwish_4.md @@ -27,7 +27,7 @@ The HSwish operation is introduced in the following [article](https://arxiv.org/ **Types** -* *T*: arbitrary supported floating point type. +* *T*: arbitrary supported floating-point type. **Example** diff --git a/docs/ops/activation/HardSigmoid_1.md b/docs/ops/activation/HardSigmoid_1.md index 04c09dae06e348..03c5c11606ed17 100644 --- a/docs/ops/activation/HardSigmoid_1.md +++ b/docs/ops/activation/HardSigmoid_1.md @@ -30,7 +30,7 @@ For each element from the input tensor calculates corresponding **Types** -* *T*: any floating point type. +* *T*: any floating-point type. **Examples** diff --git a/docs/ops/activation/LogSoftmax_5.md b/docs/ops/activation/LogSoftmax_5.md index 129ccdcea9d42d..60035120417660 100644 --- a/docs/ops/activation/LogSoftmax_5.md +++ b/docs/ops/activation/LogSoftmax_5.md @@ -32,7 +32,7 @@ LogSoftmax(x, axis) = t - Log(ReduceSum(Exp(t), axis)) **Types** -* *T*: any floating point type. +* *T*: any floating-point type. **Mathematical Formulation** diff --git a/docs/ops/activation/Sigmoid_1.md b/docs/ops/activation/Sigmoid_1.md index 7bb97824194798..3206d3953f8c70 100644 --- a/docs/ops/activation/Sigmoid_1.md +++ b/docs/ops/activation/Sigmoid_1.md @@ -20,11 +20,11 @@ sigmoid( x ) = \frac{1}{1+e^{-x}} **Inputs**: -* **1**: Input tensor *x* of any floating point type. **Required.** +* **1**: Input tensor *x* of any floating-point type. **Required.** **Outputs**: -* **1**: Result of Sigmoid function applied to the input tensor *x*. Floating point tensor with shape and type matching the input tensor. +* **1**: Result of Sigmoid function applied to the input tensor *x*. Floating-point tensor with shape and type matching the input tensor. **Example** diff --git a/docs/ops/arithmetic/Acosh_3.md b/docs/ops/arithmetic/Acosh_3.md index 4c6d7b6f6158c4..79fde27fbd3c20 100644 --- a/docs/ops/arithmetic/Acosh_3.md +++ b/docs/ops/arithmetic/Acosh_3.md @@ -20,7 +20,7 @@ **Types** -* *T*: any floating point type. +* *T*: any floating-point type. *Acosh* does the following with the input tensor *a*: diff --git a/docs/ops/arithmetic/Atanh_3.md b/docs/ops/arithmetic/Atanh_3.md index 10ec3ea7713278..c6dc4a5a89cfed 100644 --- a/docs/ops/arithmetic/Atanh_3.md +++ b/docs/ops/arithmetic/Atanh_3.md @@ -20,7 +20,7 @@ **Types** -* *T*: any floating point type. +* *T*: any floating-point type. *Atanh* does the following with the input tensor *a*: diff --git a/docs/ops/arithmetic/Erf_1.md b/docs/ops/arithmetic/Erf_1.md index 9dcb8038114637..6b445dafad29bb 100644 --- a/docs/ops/arithmetic/Erf_1.md +++ b/docs/ops/arithmetic/Erf_1.md @@ -27,7 +27,7 @@ erf(x) = \pi^{-1} \int_{-x}^{x} e^{-t^2} dt **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Examples** diff --git a/docs/ops/detection/DeformablePSROIPooling_1.md b/docs/ops/detection/DeformablePSROIPooling_1.md index 78b9cda49887ce..856b273da8d3da 100644 --- a/docs/ops/detection/DeformablePSROIPooling_1.md +++ b/docs/ops/detection/DeformablePSROIPooling_1.md @@ -66,7 +66,7 @@ This operation is compatible with [MXNet DeformablePSROIPooling](https://mxnet.a * *trans_std* * **Description**: *trans_std* is the value that all third input values (offests) are multiplied with to modulate the magnitude of the offsets. - * **Range of values**: floating point number + * **Range of values**: floating-point number * **Type**: `float` * **Default value**: 1 * **Required**: *no* @@ -93,7 +93,7 @@ Batch indices must be in the range of `[0, N_in-1]`. **Types**: -* *T*: Any floating point type. +* *T*: Any floating-point type. **Example** diff --git a/docs/ops/detection/DetectionOutput_1.md b/docs/ops/detection/DetectionOutput_1.md index 95814d42a6b178..1a7eb2851579d6 100644 --- a/docs/ops/detection/DetectionOutput_1.md +++ b/docs/ops/detection/DetectionOutput_1.md @@ -69,14 +69,14 @@ At each feature map cell, *DetectionOutput* predicts the offsets relative to the * *nms_threshold* * **Description**: threshold to be used in the NMS stage - * **Range of values**: floating point values + * **Range of values**: floating-point values * **Type**: float * **Required**: *yes* * *confidence_threshold* * **Description**: only consider detections whose confidences are larger than a threshold. If not provided, consider all boxes. - * **Range of values**: floating point values + * **Range of values**: floating-point values * **Type**: float * **Default value**: 0 * **Required**: *no* @@ -145,7 +145,7 @@ At each feature map cell, *DetectionOutput* predicts the offsets relative to the **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/detection/ExperimentalDetectronDetectionOutput_6.md b/docs/ops/detection/ExperimentalDetectronDetectionOutput_6.md index e849e28e17adee..56e3222e9734dc 100644 --- a/docs/ops/detection/ExperimentalDetectronDetectionOutput_6.md +++ b/docs/ops/detection/ExperimentalDetectronDetectionOutput_6.md @@ -58,7 +58,7 @@ tensor elements. * **Description**: The *score_threshold* attribute specifies a threshold to consider only detections whose score are larger than the threshold. - * **Range of values**: non-negative floating point number + * **Range of values**: non-negative floating-point number * **Type**: float * **Default value**: None * **Required**: *yes* @@ -66,7 +66,7 @@ tensor elements. * *nms_threshold* * **Description**: The *nms_threshold* attribute specifies a threshold to be used in the NMS stage. - * **Range of values**: non-negative floating point number + * **Range of values**: non-negative floating-point number * **Type**: float * **Default value**: None * **Required**: *yes* @@ -109,7 +109,7 @@ tensor elements. * *max_delta_log_wh* * **Description**: The *max_delta_log_wh* attribute specifies maximal delta of logarithms for width and height. - * **Range of values**: floating point number + * **Range of values**: floating-point number * **Type**: float * **Default value**: None * **Required**: *yes* @@ -117,7 +117,7 @@ tensor elements. * *deltas_weights* * **Description**: The *deltas_weights* attribute specifies weights for bounding boxes sizes deltas. - * **Range of values**: a list of non-negative floating point numbers + * **Range of values**: a list of non-negative floating-point numbers * **Type**: float[] * **Default value**: None * **Required**: *yes* @@ -146,7 +146,7 @@ should be the same. **Required.** **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. * *T_IND*: `int64` or `int32`. diff --git a/docs/ops/detection/ExperimentalDetectronGenerateProposalsSingleImage_6.md b/docs/ops/detection/ExperimentalDetectronGenerateProposalsSingleImage_6.md index 7cfacbeed58ff0..c822f74de8d344 100644 --- a/docs/ops/detection/ExperimentalDetectronGenerateProposalsSingleImage_6.md +++ b/docs/ops/detection/ExperimentalDetectronGenerateProposalsSingleImage_6.md @@ -23,7 +23,7 @@ is less than *post_nms_count* returns output tensors filled with zeroes. * *min_size* * **Description**: The *min_size* attribute specifies minimum box width and height. - * **Range of values**: non-negative floating point number + * **Range of values**: non-negative floating-point number * **Type**: float * **Default value**: None * **Required**: *yes* @@ -31,7 +31,7 @@ is less than *post_nms_count* returns output tensors filled with zeroes. * *nms_threshold* * **Description**: The *nms_threshold* attribute specifies threshold to be used in the NMS stage. - * **Range of values**: non-negative floating point number + * **Range of values**: non-negative floating-point number * **Type**: float * **Default value**: None * **Required**: *yes* @@ -73,7 +73,7 @@ Height and width for third and fourth inputs should be equal. **Required.** **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/detection/ExperimentalDetectronPriorGridGenerator_6.md b/docs/ops/detection/ExperimentalDetectronPriorGridGenerator_6.md index 54a684d98bb7af..d3e1caa51557ed 100644 --- a/docs/ops/detection/ExperimentalDetectronPriorGridGenerator_6.md +++ b/docs/ops/detection/ExperimentalDetectronPriorGridGenerator_6.md @@ -81,7 +81,7 @@ rest output tensor elements. **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/detection/ExperimentalDetectronROIFeatureExtractor_6.md b/docs/ops/detection/ExperimentalDetectronROIFeatureExtractor_6.md index 8afdfe867fa3c2..effa9472ff330a 100644 --- a/docs/ops/detection/ExperimentalDetectronROIFeatureExtractor_6.md +++ b/docs/ops/detection/ExperimentalDetectronROIFeatureExtractor_6.md @@ -86,7 +86,7 @@ must be the same as for 1 input: `[number_of_ROIs, 4]`. **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/detection/PSROIPooling_1.md b/docs/ops/detection/PSROIPooling_1.md index 7424ba519d9a4e..44d4bca2c8e2c6 100644 --- a/docs/ops/detection/PSROIPooling_1.md +++ b/docs/ops/detection/PSROIPooling_1.md @@ -72,7 +72,7 @@ Batch indices must be in the range of `[0, N-1]`. **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/detection/PriorBoxClustered_1.md b/docs/ops/detection/PriorBoxClustered_1.md index 0950f87ae2ae7b..4f3f380252ed42 100644 --- a/docs/ops/detection/PriorBoxClustered_1.md +++ b/docs/ops/detection/PriorBoxClustered_1.md @@ -11,7 +11,7 @@ * *width (height)* * **Description**: *width (height)* specifies desired boxes widths (heights) in pixels. - * **Range of values**: floating point positive numbers + * **Range of values**: floating-point positive numbers * **Type**: float[] * **Default value**: 1.0 * **Required**: *no* @@ -29,7 +29,7 @@ * *step (step_w, step_h)* * **Description**: *step (step_w, step_h)* is a distance between box centers. For example, *step* equal 85 means that the distance between neighborhood prior boxes centers is 85. If both *step_h* and *step_w* are 0 then they are updated with value of *step*. If after that they are still 0 then they are calculated as input image width(height) divided with first input width(height). - * **Range of values**: floating point positive number + * **Range of values**: floating-point positive number * **Type**: float * **Default value**: 0.0 * **Required**: *no* @@ -37,14 +37,14 @@ * *offset* * **Description**: *offset* is a shift of box respectively to top left corner. For example, *offset* equal 85 means that the shift of neighborhood prior boxes centers is 85. - * **Range of values**: floating point positive number + * **Range of values**: floating-point positive number * **Type**: float * **Required**: *yes* * *variance* * **Description**: *variance* denotes a variance of adjusting bounding boxes. - * **Range of values**: floating point positive numbers + * **Range of values**: floating-point positive numbers * **Type**: float[] * **Default value**: [] * **Required**: *no* @@ -52,7 +52,7 @@ * *img_h (img_w)* * **Description**: *img_h (img_w)* specifies height (width) of input image. These attributes are taken from the second input `image_size` height(width) unless provided explicitly as the value for this attributes. - * **Range of values**: floating point positive number + * **Range of values**: floating-point positive number * **Type**: float * **Default value**: 0 * **Required**: *no* diff --git a/docs/ops/detection/PriorBox_1.md b/docs/ops/detection/PriorBox_1.md index 1fead6099fcbb3..57cd936a8f988f 100644 --- a/docs/ops/detection/PriorBox_1.md +++ b/docs/ops/detection/PriorBox_1.md @@ -46,7 +46,7 @@ * *min_size (max_size)* * **Description**: *min_size (max_size)* is the minimum (maximum) box size (in pixels). - * **Range of values**: positive floating point numbers + * **Range of values**: positive floating-point numbers * **Type**: `float[]` * **Default value**: [] * **Required**: *no* @@ -82,7 +82,7 @@ * *step* * **Description**: *step* is a distance between box centers. - * **Range of values**: floating point non-negative number + * **Range of values**: floating-point non-negative number * **Type**: `float` * **Default value**: 0 * **Required**: *no* @@ -90,14 +90,14 @@ * *offset* * **Description**: *offset* is a shift of box respectively to top left corner. - * **Range of values**: floating point non-negative number + * **Range of values**: floating-point non-negative number * **Type**: `float` * **Required**: *yes* * *variance* * **Description**: *variance* denotes a variance of adjusting bounding boxes. The attribute could contain 0, 1 or 4 elements. - * **Range of values**: floating point positive numbers + * **Range of values**: floating-point positive numbers * **Type**: `float[]` * **Default value**: [] * **Required**: *no* @@ -149,7 +149,7 @@ **Types** * *T_INT*: any supported integer type. -* *T_OUT*: supported floating point type. +* *T_OUT*: supported floating-point type. **Example** diff --git a/docs/ops/detection/Proposal_1.md b/docs/ops/detection/Proposal_1.md index 42392c0f81179e..ce8cb3ad82a744 100644 --- a/docs/ops/detection/Proposal_1.md +++ b/docs/ops/detection/Proposal_1.md @@ -141,7 +141,7 @@ **Types** -* *T*: floating point type. +* *T*: floating-point type. **Example** diff --git a/docs/ops/detection/Proposal_4.md b/docs/ops/detection/Proposal_4.md index dbc55f7afbb206..630c16f79f3c56 100644 --- a/docs/ops/detection/Proposal_4.md +++ b/docs/ops/detection/Proposal_4.md @@ -152,7 +152,7 @@ the second optional tensor of shape `[batch_size * post_nms_topn]` with probabil **Types** -* *T*: floating point type. +* *T*: floating-point type. **Example** diff --git a/docs/ops/detection/ROIAlign_3.md b/docs/ops/detection/ROIAlign_3.md index 83a72f760285d2..13c049f2f7ebfc 100644 --- a/docs/ops/detection/ROIAlign_3.md +++ b/docs/ops/detection/ROIAlign_3.md @@ -69,7 +69,7 @@ The box height and width are calculated the following way: `roi_width = max(spat **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. * *IND_T*: any supported integer type. diff --git a/docs/ops/detection/ROIPooling_1.md b/docs/ops/detection/ROIPooling_1.md index 31593d73ead2a4..65da4d44e6d40a 100644 --- a/docs/ops/detection/ROIPooling_1.md +++ b/docs/ops/detection/ROIPooling_1.md @@ -64,7 +64,7 @@ Batch indices must be in the range of `[0, N-1]`. **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/detection/RegionYolo_1.md b/docs/ops/detection/RegionYolo_1.md index 776d4b8af1b460..f669593151d4cc 100644 --- a/docs/ops/detection/RegionYolo_1.md +++ b/docs/ops/detection/RegionYolo_1.md @@ -13,7 +13,7 @@ * *anchors* * **Description**: *anchors* codes a flattened list of pairs `[width, height]` that codes prior box sizes. This attribute is not used in output computation, but it is required for post-processing to restore real box coordinates. - * **Range of values**: list of any length of positive floating point number + * **Range of values**: list of any length of positive floating-point number * **Type**: `float[]` * **Default value**: None * **Required**: *no* @@ -83,7 +83,7 @@ `output.shape = [data.shape[0], ..., data.shape[axis-1], flat_dim, data.shape[end_axis + 1], ...]` **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** diff --git a/docs/ops/generation/Range_4.md b/docs/ops/generation/Range_4.md index df4ebb2a9e530b..0c36bac7cfd489 100644 --- a/docs/ops/generation/Range_4.md +++ b/docs/ops/generation/Range_4.md @@ -51,7 +51,7 @@ the i-th element is calculated by the following formula: val[i+1]=val[i]+step. \f] -The calculations are done after casting all values to `accumulate_type(output_type)`. `accumulate_type` is a type that have better or equal accuracy for accumulation than `output_type` on current hardware, e.g. `fp64` for `fp16`. The number of elements is calculated in the floating point type according to the following formula: +The calculations are done after casting all values to `accumulate_type(output_type)`. `accumulate_type` is a type that have better or equal accuracy for accumulation than `output_type` on current hardware, e.g. `fp64` for `fp16`. The number of elements is calculated in the floating-point type according to the following formula: \f[ max(ceil((end − start) / step), 0) @@ -103,7 +103,7 @@ This is aligned with PyTorch's operation `torch.arange`, to align with tensorflo ``` -*Example 3: floating point* +*Example 3: floating-point* ```xml diff --git a/docs/ops/image/Interpolate_1.md b/docs/ops/image/Interpolate_1.md index 7f742abc534052..e4f998faf4e389 100644 --- a/docs/ops/image/Interpolate_1.md +++ b/docs/ops/image/Interpolate_1.md @@ -60,7 +60,7 @@ This is a scalar that specifies padding for each spatial dimension. **Inputs** -* **1**: `data` - Input tensor with data for interpolation. Type of elements is any supported floating point type. **Required.** +* **1**: `data` - Input tensor with data for interpolation. Type of elements is any supported floating-point type. **Required.** * **2**: `target_spatial_shape` - 1D tensor describing output shape for spatial axes. Number of elements matches the number of indices in *axes* attribute, the order matches as well. **Required.** diff --git a/docs/ops/image/Interpolate_4.md b/docs/ops/image/Interpolate_4.md index 375691e1d87a87..6e5b6e8f818431 100644 --- a/docs/ops/image/Interpolate_4.md +++ b/docs/ops/image/Interpolate_4.md @@ -80,8 +80,8 @@ * *cube_coeff* * **Description**: *cube_coeff* specifies the parameter *a* for cubic interpolation (see, e.g. [article](https://ieeexplore.ieee.org/document/1163711/)). *cube_coeff* is used only when `mode == cubic`. - * **Range of values**: floating point number - * **Type**: any of supported floating point type + * **Range of values**: floating-point number + * **Type**: any of supported floating-point type * **Default value**: `-0.75` * **Required**: *no* @@ -102,7 +102,7 @@ **Types** * *T*: any supported numeric type. * *T_SIZE*: any supported integer type. -* *T_SCALES*: any supported floating point type. +* *T_SCALES*: any supported floating-point type. * *T_AXES*: any supported integer type. diff --git a/docs/ops/matrix/MatMul_1.md b/docs/ops/matrix/MatMul_1.md index 5b39d55b9e4766..2299ea01f96ed8 100644 --- a/docs/ops/matrix/MatMul_1.md +++ b/docs/ops/matrix/MatMul_1.md @@ -67,7 +67,7 @@ Two attributes, `transpose_a` and `transpose_b` specify embedded transposition f **Types**: -* *T*: any supported floating point or integer type. +* *T*: any supported floating-point or integer type. **Example** diff --git a/docs/ops/normalization/GRN_1.md b/docs/ops/normalization/GRN_1.md index 7248caa41ef577..0ea7cf3c30b300 100644 --- a/docs/ops/normalization/GRN_1.md +++ b/docs/ops/normalization/GRN_1.md @@ -17,13 +17,13 @@ * *bias* * **Description**: *bias* is added to the variance. - * **Range of values**: a non-negative floating point value + * **Range of values**: a non-negative floating-point value * **Type**: `float` * **Required**: *yes* **Inputs** -* **1**: Input tensor with element of any floating point type and `2 <= rank <=4`. **Required.** +* **1**: Input tensor with element of any floating-point type and `2 <= rank <=4`. **Required.** **Outputs** diff --git a/docs/ops/normalization/LRN_1.md b/docs/ops/normalization/LRN_1.md index 0cc8d07d618f2c..d5a92f8e64a415 100644 --- a/docs/ops/normalization/LRN_1.md +++ b/docs/ops/normalization/LRN_1.md @@ -68,7 +68,7 @@ output = data / (bias + (alpha / size ** len(axes)) * sqr_sum) ** beta * **1**: Output tensor of type *T* and the same shape as the `data` input tensor. **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. * *T_IND*: any supported integer type. **Example** diff --git a/docs/ops/normalization/MVN_1.md b/docs/ops/normalization/MVN_1.md index cd28c217960697..ef8a37204dd82f 100644 --- a/docs/ops/normalization/MVN_1.md +++ b/docs/ops/normalization/MVN_1.md @@ -48,7 +48,7 @@ o_{i}=\frac{o_{i}}{\sum \sqrt {o_{k}^2}+\epsilon} **Inputs** -* **1**: 4D or 5D input tensor of any floating point type. **Required.** +* **1**: 4D or 5D input tensor of any floating-point type. **Required.** **Outputs** diff --git a/docs/ops/normalization/MVN_6.md b/docs/ops/normalization/MVN_6.md index caf540b89a5d7c..9de691458c462d 100644 --- a/docs/ops/normalization/MVN_6.md +++ b/docs/ops/normalization/MVN_6.md @@ -63,7 +63,7 @@ o_{i}=\frac{o_{i}}{\sqrt {\sum {o_{k}^2}}+\epsilon} **Types** -* *T*: any floating point type. +* *T*: any floating-point type. * *T_IND*: `int64` or `int32`. diff --git a/docs/ops/pooling/MaxPool_1.md b/docs/ops/pooling/MaxPool_1.md index b21c24af59367d..182df220b5260c 100644 --- a/docs/ops/pooling/MaxPool_1.md +++ b/docs/ops/pooling/MaxPool_1.md @@ -70,7 +70,7 @@ **Types** -* *T*: floating point or integer type. +* *T*: floating-point or integer type. **Mathematical Formulation** Output shape calculation based on `auto_pad` and `rounding_type`: diff --git a/docs/ops/sequence/CTCGreedyDecoderSeqLen_6.md b/docs/ops/sequence/CTCGreedyDecoderSeqLen_6.md index bcad850c665acb..1ff17376926927 100644 --- a/docs/ops/sequence/CTCGreedyDecoderSeqLen_6.md +++ b/docs/ops/sequence/CTCGreedyDecoderSeqLen_6.md @@ -19,7 +19,7 @@ Decoding is done in two steps: Sequences in the batch can have different length. The lengths of sequences are coded in the second input integer tensor `sequence_length`. -The main difference between [CTCGreedyDecoder](CTCGreedyDecoder_1.md) and CTCGreedyDecoderSeqLen is in the second input. CTCGreedyDecoder uses 2D input floating point tensor with sequence masks for each sequence in the batch while CTCGreedyDecoderSeqLen uses 1D integer tensor with sequence lengths. +The main difference between [CTCGreedyDecoder](CTCGreedyDecoder_1.md) and CTCGreedyDecoderSeqLen is in the second input. CTCGreedyDecoder uses 2D input floating-point tensor with sequence masks for each sequence in the batch while CTCGreedyDecoderSeqLen uses 1D integer tensor with sequence lengths. **Attributes** @@ -63,7 +63,7 @@ The main difference between [CTCGreedyDecoder](CTCGreedyDecoder_1.md) and CTCGre **Types** -* *T_F*: any supported floating point type. +* *T_F*: any supported floating-point type. * *T_I*: `int32` or `int64`. diff --git a/docs/ops/sequence/CTCGreedyDecoder_1.md b/docs/ops/sequence/CTCGreedyDecoder_1.md index 20bcc449a564c6..ca90cdcae6c715 100644 --- a/docs/ops/sequence/CTCGreedyDecoder_1.md +++ b/docs/ops/sequence/CTCGreedyDecoder_1.md @@ -37,7 +37,7 @@ Sequences in the batch can have different length. The lengths of sequences are c * **1**: Output tensor of type *T_F* and shape `[N, T, 1, 1]` which is filled with integer elements containing final sequence class indices. A final sequence can be shorter that the size `T` of the tensor, all elements that do not code sequence classes are filled with `-1`. **Types** -* *T_F*: any supported floating point type. +* *T_F*: any supported floating-point type. **Example** diff --git a/docs/ops/sequence/CTCLoss_4.md b/docs/ops/sequence/CTCLoss_4.md index efb30c2f109ae1..66a2b30167fbc3 100644 --- a/docs/ops/sequence/CTCLoss_4.md +++ b/docs/ops/sequence/CTCLoss_4.md @@ -96,7 +96,7 @@ Having log-probabilities for aligned paths, log of summed up probabilities for t **Types** -* *T_F*: any supported floating point type. +* *T_F*: any supported floating-point type. * *T1*, *T2*: `int32` or `int64`. diff --git a/docs/ops/sequence/GRUCell_3.md b/docs/ops/sequence/GRUCell_3.md index 3b5d2256d0af8a..0c5f40a69168ca 100644 --- a/docs/ops/sequence/GRUCell_3.md +++ b/docs/ops/sequence/GRUCell_3.md @@ -65,7 +65,7 @@ **Types** -* *T*: any supported floating point type. +* *T*: any supported floating-point type. **Example** ```xml diff --git a/docs/ops/sequence/GRUSequence_5.md b/docs/ops/sequence/GRUSequence_5.md index a18df16bbdcfb9..c090933cb449fd 100644 --- a/docs/ops/sequence/GRUSequence_5.md +++ b/docs/ops/sequence/GRUSequence_5.md @@ -81,7 +81,7 @@ A single cell in the sequence is implemented in the same way as in