Reshaping Tensor in C
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How can I reshape TF_Tensor* using Tensorflow's C_api as it's being done in C++?
TensorShape inputShape({1,1,80,80});
Tensor inputTensor;
Tensor newTensor;
bool result = inputTensor->CopyFrom(newTensor, inputShape);
I don't see a similar method using the tensorflow's c_api.
c++ tensorflow deep-learning c-api
asked Nov 21 '18 at 22:01
srishtisrishti
57111
add a comment |
How can I reshape TF_Tensor* using Tensorflow's C_api as it's being done in C++?
TensorShape inputShape({1,1,80,80});
Tensor inputTensor;
Tensor newTensor;
bool result = inputTensor->CopyFrom(newTensor, inputShape);
I don't see a similar method using the tensorflow's c_api.
c++ tensorflow deep-learning c-api
asked Nov 21 '18 at 22:01
srishtisrishti
57111
add a comment |
How can I reshape TF_Tensor* using Tensorflow's C_api as it's being done in C++?
TensorShape inputShape({1,1,80,80});
Tensor inputTensor;
Tensor newTensor;
bool result = inputTensor->CopyFrom(newTensor, inputShape);
I don't see a similar method using the tensorflow's c_api.
c++ tensorflow deep-learning c-api
asked Nov 21 '18 at 22:01
srishtisrishti
57111
How can I reshape TF_Tensor* using Tensorflow's C_api as it's being done in C++?
TensorShape inputShape({1,1,80,80});
Tensor inputTensor;
Tensor newTensor;
bool result = inputTensor->CopyFrom(newTensor, inputShape);
I don't see a similar method using the tensorflow's c_api.
c++ tensorflow deep-learning c-api
c++ tensorflow deep-learning c-api
asked Nov 21 '18 at 22:01
srishtisrishti
57111
asked Nov 21 '18 at 22:01
srishtisrishti
57111
asked Nov 21 '18 at 22:01
srishtisrishti
57111
asked Nov 21 '18 at 22:01
srishtisrishti
57111
asked Nov 21 '18 at 22:01
srishtisrishti
57111
57111
add a comment |
add a comment |
1 Answer
1
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Tensorflow C API operates with a (data,dims) model - treating data as a flat raw array supplied with the needed dimensions.
Step 1: Allocating a new Tensor
Have a look at TF_AllocateTensor(ref):
TF_CAPI_EXPORT extern TF_Tensor* TF_AllocateTensor(TF_DataType,
const int64_t* dims,
int num_dims, size_t len);
Here:
TF_DataType: TheTFequivalent of the data type you need from here.
dims: Array corresponding to dimensions of tensor to be allocated eg.{1, 1, 80, 80}
num_dims: length of dims(4above)
len: reduce(dims, *): i.e. 1*1*80*80*sizeof(DataType) = 6400*sizeof(DataType).
Step 2: Copying data
// Get the tensor buffer
auto buff = (DataType *)TF_TensorData(output_of_tf_allocate);
// std::memcpy() ...
Here is some sample code from a project I did a while back on writing a very light Tensorflow C-API Wrapper.
So, essentially your reshape will involve allocating your new tensor and copying the data from the original tensor into buff.
The Tensorflow C API isnt meant for regular usage and thus is harder to learn + lacking documentation. I figured a lot of this out with experimentation. Any suggestions from the more experienced developers out there?
answered Nov 21 '18 at 22:36
tangytangy
1,039721
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Tensorflow C API operates with a (data,dims) model - treating data as a flat raw array supplied with the needed dimensions.
Step 1: Allocating a new Tensor
Have a look at TF_AllocateTensor(ref):
TF_CAPI_EXPORT extern TF_Tensor* TF_AllocateTensor(TF_DataType,
const int64_t* dims,
int num_dims, size_t len);
Here:
TF_DataType: TheTFequivalent of the data type you need from here.
dims: Array corresponding to dimensions of tensor to be allocated eg.{1, 1, 80, 80}
num_dims: length of dims(4above)
len: reduce(dims, *): i.e. 1*1*80*80*sizeof(DataType) = 6400*sizeof(DataType).
Step 2: Copying data
// Get the tensor buffer
auto buff = (DataType *)TF_TensorData(output_of_tf_allocate);
// std::memcpy() ...
Here is some sample code from a project I did a while back on writing a very light Tensorflow C-API Wrapper.
So, essentially your reshape will involve allocating your new tensor and copying the data from the original tensor into buff.
The Tensorflow C API isnt meant for regular usage and thus is harder to learn + lacking documentation. I figured a lot of this out with experimentation. Any suggestions from the more experienced developers out there?
answered Nov 21 '18 at 22:36
tangytangy
1,039721
add a comment |
Tensorflow C API operates with a (data,dims) model - treating data as a flat raw array supplied with the needed dimensions.
Step 1: Allocating a new Tensor
Have a look at TF_AllocateTensor(ref):
TF_CAPI_EXPORT extern TF_Tensor* TF_AllocateTensor(TF_DataType,
const int64_t* dims,
int num_dims, size_t len);
Here:
TF_DataType: TheTFequivalent of the data type you need from here.
dims: Array corresponding to dimensions of tensor to be allocated eg.{1, 1, 80, 80}
num_dims: length of dims(4above)
len: reduce(dims, *): i.e. 1*1*80*80*sizeof(DataType) = 6400*sizeof(DataType).
Step 2: Copying data
// Get the tensor buffer
auto buff = (DataType *)TF_TensorData(output_of_tf_allocate);
// std::memcpy() ...
Here is some sample code from a project I did a while back on writing a very light Tensorflow C-API Wrapper.
So, essentially your reshape will involve allocating your new tensor and copying the data from the original tensor into buff.
The Tensorflow C API isnt meant for regular usage and thus is harder to learn + lacking documentation. I figured a lot of this out with experimentation. Any suggestions from the more experienced developers out there?
answered Nov 21 '18 at 22:36
tangytangy
1,039721
add a comment |
Tensorflow C API operates with a (data,dims) model - treating data as a flat raw array supplied with the needed dimensions.
Step 1: Allocating a new Tensor
Have a look at TF_AllocateTensor(ref):
TF_CAPI_EXPORT extern TF_Tensor* TF_AllocateTensor(TF_DataType,
const int64_t* dims,
int num_dims, size_t len);
Here:
TF_DataType: TheTFequivalent of the data type you need from here.
dims: Array corresponding to dimensions of tensor to be allocated eg.{1, 1, 80, 80}
num_dims: length of dims(4above)
len: reduce(dims, *): i.e. 1*1*80*80*sizeof(DataType) = 6400*sizeof(DataType).
Step 2: Copying data
// Get the tensor buffer
auto buff = (DataType *)TF_TensorData(output_of_tf_allocate);
// std::memcpy() ...
Here is some sample code from a project I did a while back on writing a very light Tensorflow C-API Wrapper.
So, essentially your reshape will involve allocating your new tensor and copying the data from the original tensor into buff.
The Tensorflow C API isnt meant for regular usage and thus is harder to learn + lacking documentation. I figured a lot of this out with experimentation. Any suggestions from the more experienced developers out there?
answered Nov 21 '18 at 22:36
tangytangy
1,039721
Tensorflow C API operates with a (data,dims) model - treating data as a flat raw array supplied with the needed dimensions.
Step 1: Allocating a new Tensor
Have a look at TF_AllocateTensor(ref):
TF_CAPI_EXPORT extern TF_Tensor* TF_AllocateTensor(TF_DataType,
const int64_t* dims,
int num_dims, size_t len);
Here:
TF_DataType: TheTFequivalent of the data type you need from here.
dims: Array corresponding to dimensions of tensor to be allocated eg.{1, 1, 80, 80}
num_dims: length of dims(4above)
len: reduce(dims, *): i.e. 1*1*80*80*sizeof(DataType) = 6400*sizeof(DataType).
Step 2: Copying data
// Get the tensor buffer
auto buff = (DataType *)TF_TensorData(output_of_tf_allocate);
// std::memcpy() ...
Here is some sample code from a project I did a while back on writing a very light Tensorflow C-API Wrapper.
So, essentially your reshape will involve allocating your new tensor and copying the data from the original tensor into buff.
The Tensorflow C API isnt meant for regular usage and thus is harder to learn + lacking documentation. I figured a lot of this out with experimentation. Any suggestions from the more experienced developers out there?
answered Nov 21 '18 at 22:36
tangytangy
1,039721
edited Nov 21 '18 at 22:54
answered Nov 21 '18 at 22:36
tangytangy
1,039721
answered Nov 21 '18 at 22:36
tangytangy
1,039721
answered Nov 21 '18 at 22:36
tangytangy
1,039721
1,039721
add a comment |
add a comment |
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