Tensorflow: How does tensorflow connect python and C++ in details? -

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what i'm trying do

i'm trying make modification conv_ops in tensorflow filters used convolution in consist of binary numbers.

what have done

following suggestion in this tensorflow issue, didn't create custom op. instead, copy code in conv_ops.cc , change names from

register_kernel_builder( name("conv2d").device(device_gpu).typeconstraint<eigen::half>("t"), conv2dop<gpudevice, eigen::half>); register_kernel_builder( name("conv2d").device(device_gpu).typeconstraint<float>("t"), conv2dop<gpudevice, float>);

to

register_kernel_builder( name("binaryconv2d").device(device_gpu).typeconstraint<eigen::half>("t"), binaryconv2dop<gpudevice, eigen::half>); register_kernel_builder( name("binaryconv2d").device(device_gpu).typeconstraint<float>("t"), binaryconv2dop<gpudevice, float>);

after modification, have make new op same conv_ops. in order bypass problem functor:sign in //tensorflow/core/kernels/cwise_ops.h not easy use simple functors functor:relu in //tensorflow/core/kernels/relu_op_functor.h. decide add input(binarized_filter) new op binaryconv2d. in way can use op tf.sign safely make binary filter.

what problem is

although have changed registration in nn_ops.cc as

register_op("binaryconv2d")     .input("input: t")     .input("filter: t")     .input("binarized_filter: t")     .output("output: t")     .attr("t: {half, float, double}")     .attr("strides: list(int)")     .attr("use_cudnn_on_gpu: bool = true")     .attr(getpaddingattrstring())     .attr(getconvnetdataformatattrstring())

and generated python code becomes:

result = _op_def_lib.apply_op("binaryconv2d", input=input, filter=filter,                                 binarized_filter=binarized_filter,                                 strides=strides, padding=padding,                                 use_cudnn_on_gpu=use_cudnn_on_gpu,                                 data_format=data_format, name=name)

i use sign op inside binarized_filter:

  import tensorflow tf   binarized_filter = tf.sign(filter)

i got error as:

w tensorflow/core/framework/op_kernel.cc:926] invalid argument: signature mismatch, have: float, float, float->float expected: float, float->float e tensorflow/core/common_runtime/executor.cc:334] executor failed create kernel. invalid argument: signature mismatch, have: float, float, float->float expected: float, float->float      [[node: conv1/binaryconv2d = binaryconv2d[t=dt_float, data_format="nhwc", padding="same", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch, conv1/weights/read, conv1/sign)]] e tensorflow/core/client/tensor_c_api.cc:485] signature mismatch, have: float, float, float->float expected: float, float->float      [[node: conv1/binaryconv2d = binaryconv2d[t=dt_float, data_format="nhwc", padding="same", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch, conv1/weights/read, conv1/sign)]] traceback (most recent call last):

i have checked value of input types in graph in //tensorflow/python/framework/op_def_library.py. right. assume input number defined in c++ still not correct, can find no example or document except source code can provide information how c++ code , python code of tensorflow associated. want know if have missed part of building op in procedure of modification.


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