diff options
Diffstat (limited to 'tensorflow/docs_src/api_guides/python/array_ops.md')
| -rw-r--r-- | tensorflow/docs_src/api_guides/python/array_ops.md | 87 |
1 files changed, 0 insertions, 87 deletions
diff --git a/tensorflow/docs_src/api_guides/python/array_ops.md b/tensorflow/docs_src/api_guides/python/array_ops.md deleted file mode 100644 index ddeea80c56..0000000000 --- a/tensorflow/docs_src/api_guides/python/array_ops.md +++ /dev/null @@ -1,87 +0,0 @@ -# Tensor Transformations - -Note: Functions taking `Tensor` arguments can also take anything accepted by -`tf.convert_to_tensor`. - -[TOC] - -## Casting - -TensorFlow provides several operations that you can use to cast tensor data -types in your graph. - -* `tf.string_to_number` -* `tf.to_double` -* `tf.to_float` -* `tf.to_bfloat16` -* `tf.to_int32` -* `tf.to_int64` -* `tf.cast` -* `tf.bitcast` -* `tf.saturate_cast` - -## Shapes and Shaping - -TensorFlow provides several operations that you can use to determine the shape -of a tensor and change the shape of a tensor. - -* `tf.broadcast_dynamic_shape` -* `tf.broadcast_static_shape` -* `tf.shape` -* `tf.shape_n` -* `tf.size` -* `tf.rank` -* `tf.reshape` -* `tf.squeeze` -* `tf.expand_dims` -* `tf.meshgrid` - -## Slicing and Joining - -TensorFlow provides several operations to slice or extract parts of a tensor, -or join multiple tensors together. - -* `tf.slice` -* `tf.strided_slice` -* `tf.split` -* `tf.tile` -* `tf.pad` -* `tf.concat` -* `tf.stack` -* `tf.parallel_stack` -* `tf.unstack` -* `tf.reverse_sequence` -* `tf.reverse` -* `tf.reverse_v2` -* `tf.transpose` -* `tf.extract_image_patches` -* `tf.space_to_batch_nd` -* `tf.space_to_batch` -* `tf.required_space_to_batch_paddings` -* `tf.batch_to_space_nd` -* `tf.batch_to_space` -* `tf.space_to_depth` -* `tf.depth_to_space` -* `tf.gather` -* `tf.gather_nd` -* `tf.unique_with_counts` -* `tf.scatter_nd` -* `tf.dynamic_partition` -* `tf.dynamic_stitch` -* `tf.boolean_mask` -* `tf.one_hot` -* `tf.sequence_mask` -* `tf.dequantize` -* `tf.quantize_v2` -* `tf.quantized_concat` -* `tf.setdiff1d` - -## Fake quantization -Operations used to help train for better quantization accuracy. - -* `tf.fake_quant_with_min_max_args` -* `tf.fake_quant_with_min_max_args_gradient` -* `tf.fake_quant_with_min_max_vars` -* `tf.fake_quant_with_min_max_vars_gradient` -* `tf.fake_quant_with_min_max_vars_per_channel` -* `tf.fake_quant_with_min_max_vars_per_channel_gradient` |