298 строки
9.4 KiB
ReStructuredText
298 строки
9.4 KiB
ReStructuredText
.. Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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.. http://www.apache.org/licenses/LICENSE-2.0
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.. Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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NNVM Core Tensor Operators
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==========================
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This page contains the list of core tensor operator primitives pre-defined in NNVM.
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The core tensor operator primitives(``nnvm.top``) covers typical workloads in deep learning.
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They can represent workloads in front-end frameworks, and provide basic building blocks for optimization.
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Since deep learning is a fast evolving field and it is that possible to have operators that are not in here.
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NNVM is designed for this problem and can easily new operators without changing the core library.
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.. note::
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Each operator node in the graph IR contains the following two kinds of parameters.
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- inputs: positional list of input tensors
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- attrs: attributes about operator(e.g. kernel_size in conv2d)
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This document lists both inputs and attributes in the parameter field. You can distinguish them by the marked type. The inputs are of type Tensor, while the rest parameters are attributes.
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To construct the graph with NNVM python API, a user can pass in the input Tensors as positional arguments, and attributes as keyword arguments.
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Overview of Operators
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---------------------
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**Level 1: Basic Operators**
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This level enables fully connected multi-layer perceptron.
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.. autosummary::
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:nosignatures:
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nnvm.symbol.dense
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nnvm.symbol.relu
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nnvm.symbol.prelu
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nnvm.symbol.tanh
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nnvm.symbol.sigmoid
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nnvm.symbol.exp
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nnvm.symbol.log
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nnvm.symbol.sqrt
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nnvm.symbol.logical_and
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nnvm.symbol.logical_or
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nnvm.symbol.logical_not
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nnvm.symbol.elemwise_add
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nnvm.symbol.elemwise_sub
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nnvm.symbol.elemwise_mul
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nnvm.symbol.elemwise_div
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nnvm.symbol.elemwise_sum
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nnvm.symbol.elemwise_mod
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nnvm.symbol.elemwise_pow
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nnvm.symbol.flatten
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nnvm.symbol.concatenate
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nnvm.symbol.expand_dims
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nnvm.symbol.squeeze
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nnvm.symbol.split
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nnvm.symbol.dropout
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nnvm.symbol.batch_norm
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nnvm.symbol.softmax
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nnvm.symbol.log_softmax
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nnvm.symbol.pad
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nnvm.symbol.block_grad
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nnvm.symbol.matmul
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nnvm.symbol.resize
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nnvm.symbol.upsampling
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nnvm.symbol.take
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nnvm.symbol.l2_normalize
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nnvm.symbol.flip
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nnvm.symbol.lrn
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nnvm.symbol.where
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nnvm.symbol.gather_nd
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**Level 2: Convolutions**
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This level enables typical convnet models.
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.. autosummary::
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:nosignatures:
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nnvm.symbol.conv2d
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nnvm.symbol.conv2d_transpose
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nnvm.symbol.max_pool2d
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nnvm.symbol.avg_pool2d
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nnvm.symbol.global_max_pool2d
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nnvm.symbol.global_avg_pool2d
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**Level 3: Additional Tensor Ops**
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.. autosummary::
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:nosignatures:
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nnvm.symbol.reshape
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nnvm.symbol.copy
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nnvm.symbol.negative
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nnvm.symbol.floor
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nnvm.symbol.ceil
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nnvm.symbol.round
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nnvm.symbol.trunc
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nnvm.symbol.abs
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nnvm.symbol.leaky_relu
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nnvm.symbol.__add_scalar__
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nnvm.symbol.__sub_scalar__
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nnvm.symbol.__rsub_scalar__
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nnvm.symbol.__mul_scalar__
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nnvm.symbol.__div_scalar__
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nnvm.symbol.__rdiv_scalar__
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nnvm.symbol.__pow_scalar__
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nnvm.symbol.__rpow_scalar__
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nnvm.symbol.__lshift_scalar__
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nnvm.symbol.__rshift_scalar__
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**Level 4: Broadcast and Reductions**
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.. autosummary::
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:nosignatures:
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nnvm.symbol.transpose
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nnvm.symbol.broadcast_to
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nnvm.symbol.sum
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nnvm.symbol.min
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nnvm.symbol.max
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nnvm.symbol.mean
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nnvm.symbol.prod
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nnvm.symbol.broadcast_add
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nnvm.symbol.broadcast_sub
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nnvm.symbol.broadcast_mul
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nnvm.symbol.broadcast_div
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nnvm.symbol.clip
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nnvm.symbol.greater
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nnvm.symbol.less
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nnvm.symbol.expand_like
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nnvm.symbol.reshape_like
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nnvm.symbol.full
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nnvm.symbol.full_like
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nnvm.symbol.ones
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nnvm.symbol.ones_like
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nnvm.symbol.zeros
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nnvm.symbol.zeros_like
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nnvm.symbol.slice_like
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nnvm.symbol.strided_slice
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nnvm.symbol.argmax
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nnvm.symbol.argmin
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nnvm.symbol.collapse_sum
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nnvm.symbol.broadcast_equal
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nnvm.symbol.broadcast_greater_equal
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nnvm.symbol.broadcast_greater
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nnvm.symbol.broadcast_left_shift
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nnvm.symbol.broadcast_less_equal
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nnvm.symbol.broadcast_less
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nnvm.symbol.broadcast_max
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nnvm.symbol.broadcast_min
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nnvm.symbol.broadcast_mod
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nnvm.symbol.broadcast_not_equal
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nnvm.symbol.broadcast_pow
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nnvm.symbol.broadcast_right_shift
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**Level 5: Vision Operators**
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.. autosummary::
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:nosignatures:
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nnvm.symbol.multibox_prior
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nnvm.symbol.multibox_transform_loc
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nnvm.symbol.nms
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nnvm.symbol.yolo_region
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nnvm.symbol.yolo_reorg
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Detailed Definitions
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--------------------
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.. autofunction:: nnvm.symbol.dense
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.. autofunction:: nnvm.symbol.relu
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.. autofunction:: nnvm.symbol.prelu
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.. autofunction:: nnvm.symbol.tanh
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.. autofunction:: nnvm.symbol.sigmoid
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.. autofunction:: nnvm.symbol.exp
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.. autofunction:: nnvm.symbol.log
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.. autofunction:: nnvm.symbol.sqrt
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.. autofunction:: nnvm.symbol.logical_and
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.. autofunction:: nnvm.symbol.logical_or
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.. autofunction:: nnvm.symbol.logical_not
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.. autofunction:: nnvm.symbol.elemwise_add
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.. autofunction:: nnvm.symbol.elemwise_sub
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.. autofunction:: nnvm.symbol.elemwise_mul
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.. autofunction:: nnvm.symbol.elemwise_div
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.. autofunction:: nnvm.symbol.elemwise_sum
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.. autofunction:: nnvm.symbol.elemwise_mod
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.. autofunction:: nnvm.symbol.elemwise_pow
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.. autofunction:: nnvm.symbol.flatten
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.. autofunction:: nnvm.symbol.concatenate
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.. autofunction:: nnvm.symbol.expand_dims
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.. autofunction:: nnvm.symbol.squeeze
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.. autofunction:: nnvm.symbol.split
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.. autofunction:: nnvm.symbol.dropout
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.. autofunction:: nnvm.symbol.batch_norm
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.. autofunction:: nnvm.symbol.softmax
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.. autofunction:: nnvm.symbol.log_softmax
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.. autofunction:: nnvm.symbol.pad
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.. autofunction:: nnvm.symbol.block_grad
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.. autofunction:: nnvm.symbol.matmul
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.. autofunction:: nnvm.symbol.resize
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.. autofunction:: nnvm.symbol.upsampling
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.. autofunction:: nnvm.symbol.take
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.. autofunction:: nnvm.symbol.l2_normalize
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.. autofunction:: nnvm.symbol.flip
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.. autofunction:: nnvm.symbol.lrn
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.. autofunction:: nnvm.symbol.where
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.. autofunction:: nnvm.symbol.gather_nd
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.. autofunction:: nnvm.symbol.conv2d
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.. autofunction:: nnvm.symbol.conv2d_transpose
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.. autofunction:: nnvm.symbol.max_pool2d
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.. autofunction:: nnvm.symbol.avg_pool2d
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.. autofunction:: nnvm.symbol.global_max_pool2d
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.. autofunction:: nnvm.symbol.global_avg_pool2d
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.. autofunction:: nnvm.symbol.reshape
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.. autofunction:: nnvm.symbol.copy
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.. autofunction:: nnvm.symbol.negative
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.. autofunction:: nnvm.symbol.floor
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.. autofunction:: nnvm.symbol.ceil
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.. autofunction:: nnvm.symbol.round
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.. autofunction:: nnvm.symbol.trunc
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.. autofunction:: nnvm.symbol.abs
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.. autofunction:: nnvm.symbol.leaky_relu
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.. autofunction:: nnvm.symbol.__add_scalar__
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.. autofunction:: nnvm.symbol.__sub_scalar__
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.. autofunction:: nnvm.symbol.__rsub_scalar__
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.. autofunction:: nnvm.symbol.__mul_scalar__
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.. autofunction:: nnvm.symbol.__div_scalar__
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.. autofunction:: nnvm.symbol.__rdiv_scalar__
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.. autofunction:: nnvm.symbol.__pow_scalar__
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.. autofunction:: nnvm.symbol.__rpow_scalar__
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.. autofunction:: nnvm.symbol.__lshift_scalar__
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.. autofunction:: nnvm.symbol.__rshift_scalar__
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.. autofunction:: nnvm.symbol.transpose
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.. autofunction:: nnvm.symbol.broadcast_to
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.. autofunction:: nnvm.symbol.sum
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.. autofunction:: nnvm.symbol.min
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.. autofunction:: nnvm.symbol.max
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.. autofunction:: nnvm.symbol.mean
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.. autofunction:: nnvm.symbol.prod
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.. autofunction:: nnvm.symbol.broadcast_add
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.. autofunction:: nnvm.symbol.broadcast_sub
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.. autofunction:: nnvm.symbol.broadcast_mul
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.. autofunction:: nnvm.symbol.broadcast_div
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.. autofunction:: nnvm.symbol.clip
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.. autofunction:: nnvm.symbol.greater
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.. autofunction:: nnvm.symbol.less
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.. autofunction:: nnvm.symbol.expand_like
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.. autofunction:: nnvm.symbol.reshape_like
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.. autofunction:: nnvm.symbol.full
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.. autofunction:: nnvm.symbol.full_like
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.. autofunction:: nnvm.symbol.ones
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.. autofunction:: nnvm.symbol.ones_like
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.. autofunction:: nnvm.symbol.zeros
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.. autofunction:: nnvm.symbol.zeros_like
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.. autofunction:: nnvm.symbol.slice_like
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.. autofunction:: nnvm.symbol.strided_slice
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.. autofunction:: nnvm.symbol.argmax
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.. autofunction:: nnvm.symbol.argmin
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.. autofunction:: nnvm.symbol.collapse_sum
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.. autofunction:: nnvm.symbol.broadcast_equal
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.. autofunction:: nnvm.symbol.broadcast_greater_equal
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.. autofunction:: nnvm.symbol.broadcast_greater
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.. autofunction:: nnvm.symbol.broadcast_left_shift
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.. autofunction:: nnvm.symbol.broadcast_less_equal
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.. autofunction:: nnvm.symbol.broadcast_less
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.. autofunction:: nnvm.symbol.broadcast_max
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.. autofunction:: nnvm.symbol.broadcast_min
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.. autofunction:: nnvm.symbol.broadcast_mod
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.. autofunction:: nnvm.symbol.broadcast_not_equal
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.. autofunction:: nnvm.symbol.broadcast_pow
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.. autofunction:: nnvm.symbol.broadcast_right_shift
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.. autofunction:: nnvm.symbol.multibox_prior
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.. autofunction:: nnvm.symbol.multibox_transform_loc
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.. autofunction:: nnvm.symbol.nms
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.. autofunction:: nnvm.symbol.yolo_region
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.. autofunction:: nnvm.symbol.yolo_reorg
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