Python tensorflow.python.ops.nn_ops.conv2d_backprop_filter() Examples
The following are 10
code examples of tensorflow.python.ops.nn_ops.conv2d_backprop_filter().
You can vote up the ones you like or vote down the ones you don't like,
and go to the original project or source file by following the links above each example.
You may also want to check out all available functions/classes of the module
tensorflow.python.ops.nn_ops
, or try the search function
.
.
Example #1
| Source File: nn_grad.py From lambda-packs with MIT License | 6 votes |
|
def _Conv2DBackpropInputGrad(op, grad):
"""The derivatives for deconvolution.
Args:
op: the Deconvolution op.
grad: the tensor representing the gradient w.r.t. the output
Returns:
the gradients w.r.t. the input and the filter
"""
return [None,
nn_ops.conv2d_backprop_filter(grad, array_ops.shape(op.inputs[1]),
op.inputs[2], op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d(grad, op.inputs[1], op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #2
| Source File: nn_grad.py From auto-alt-text-lambda-api with MIT License | 6 votes |
|
def _Conv2DBackpropInputGrad(op, grad):
"""The derivatives for deconvolution.
Args:
op: the Deconvolution op.
grad: the tensor representing the gradient w.r.t. the output
Returns:
the gradients w.r.t. the input and the filter
"""
return [None,
nn_ops.conv2d_backprop_filter(grad, array_ops.shape(op.inputs[1]),
op.inputs[2], op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d(grad, op.inputs[1], op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #3
| Source File: nn_grad.py From deep_image_model with Apache License 2.0 | 6 votes |
|
def _Conv2DBackpropInputGrad(op, grad):
"""The derivatives for deconvolution.
Args:
op: the Deconvolution op.
grad: the tensor representing the gradient w.r.t. the output
Returns:
the gradients w.r.t. the input and the filter
"""
return [None,
nn_ops.conv2d_backprop_filter(grad, array_ops.shape(op.inputs[1]),
op.inputs[2], op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d(grad, op.inputs[1], op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #4
| Source File: nn_grad.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 6 votes |
|
def _Conv2DBackpropInputGrad(op, grad):
"""The derivatives for deconvolution.
Args:
op: the Deconvolution op.
grad: the tensor representing the gradient w.r.t. the output
Returns:
the gradients w.r.t. the input and the filter
"""
return [None,
nn_ops.conv2d_backprop_filter(grad, array_ops.shape(op.inputs[1]),
op.inputs[2], op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d(grad, op.inputs[1], op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #5
| Source File: nn_grad.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 6 votes |
|
def _Conv2DGrad(op, grad):
strides = op.get_attr("strides")
padding = op.get_attr("padding")
use_cudnn_on_gpu = op.get_attr("use_cudnn_on_gpu")
data_format = op.get_attr("data_format")
shape_0, shape_1 = array_ops.shape_n([op.inputs[0], op.inputs[1]])
return [nn_ops.conv2d_backprop_input(shape_0,
op.inputs[1],
grad,
strides,
padding,
use_cudnn_on_gpu,
data_format),
nn_ops.conv2d_backprop_filter(op.inputs[0],
shape_1,
grad,
strides,
padding,
use_cudnn_on_gpu,
data_format)]
Example #6
| Source File: nn_grad.py From keras-lambda with MIT License | 6 votes |
|
def _Conv2DBackpropInputGrad(op, grad):
"""The derivatives for deconvolution.
Args:
op: the Deconvolution op.
grad: the tensor representing the gradient w.r.t. the output
Returns:
the gradients w.r.t. the input and the filter
"""
return [None,
nn_ops.conv2d_backprop_filter(grad, array_ops.shape(op.inputs[1]),
op.inputs[2], op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d(grad, op.inputs[1], op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #7
| Source File: nn_grad.py From lambda-packs with MIT License | 5 votes |
|
def _Conv2DGrad(op, grad):
return [nn_ops.conv2d_backprop_input(
array_ops.shape(op.inputs[0]), op.inputs[1], grad, op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d_backprop_filter(op.inputs[0],
array_ops.shape(op.inputs[1]), grad,
op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #8
| Source File: nn_grad.py From auto-alt-text-lambda-api with MIT License | 5 votes |
|
def _Conv2DGrad(op, grad):
return [nn_ops.conv2d_backprop_input(
array_ops.shape(op.inputs[0]), op.inputs[1], grad, op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d_backprop_filter(op.inputs[0],
array_ops.shape(op.inputs[1]), grad,
op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #9
| Source File: nn_grad.py From deep_image_model with Apache License 2.0 | 5 votes |
|
def _Conv2DGrad(op, grad):
return [nn_ops.conv2d_backprop_input(
array_ops.shape(op.inputs[0]), op.inputs[1], grad, op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d_backprop_filter(op.inputs[0],
array_ops.shape(op.inputs[1]), grad,
op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
Example #10
| Source File: nn_grad.py From keras-lambda with MIT License | 5 votes |
|
def _Conv2DGrad(op, grad):
return [nn_ops.conv2d_backprop_input(
array_ops.shape(op.inputs[0]), op.inputs[1], grad, op.get_attr("strides"),
op.get_attr("padding"), op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format")),
nn_ops.conv2d_backprop_filter(op.inputs[0],
array_ops.shape(op.inputs[1]), grad,
op.get_attr("strides"),
op.get_attr("padding"),
op.get_attr("use_cudnn_on_gpu"),
op.get_attr("data_format"))]
