- Sort Score
- Result 10 results
- Languages All
Results 21 - 30 of 53 for Vendor (0.33 sec)
-
tensorflow/c/eager/immediate_execution_operation.h
#include <memory> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/tensor_interface.h" #include "tensorflow/core/framework/cancellation.h" #include "tensorflow/core/framework/device_attributes.pb.h" #include "tensorflow/core/framework/op_def.pb.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/tfe_tensorhandle_internal.h
#ifndef TENSORFLOW_C_EAGER_TFE_TENSORHANDLE_INTERNAL_H_ #define TENSORFLOW_C_EAGER_TFE_TENSORHANDLE_INTERNAL_H_ #include "tensorflow/c/conversion_macros.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" // Wraps a pointer to a tensor handle implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying handle object. Instead, call
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.6K bytes - Viewed (0) -
tensorflow/c/c_test.c
TF_DeleteStatus(s); return NULL; } // A compute function. This will never actually get called in this test, it's // just nice to know that it compiles. void compute(void* kernel, TF_OpKernelContext* ctx) { TF_Tensor* input; TF_Status* s = TF_NewStatus(); TF_GetInput(ctx, 0, &input, s); TF_DeleteTensor(input); TF_DeleteStatus(s); } // Exercises tensorflow's C API. int main(int argc, char** argv) {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
#include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using tensorflow::TF_StatusPtr;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
CODE_OF_CONDUCT.md
contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Feb 05 18:43:16 GMT 2021 - 5.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
int TF_OutputListNumOutputs(TF_OutputList* o); // Return the `i`th output in the list. TF_AbstractTensor* TF_OutputListGet(TF_OutputList* o, int i); // Append a tensor at the end of the output list, growing its size by one. void TF_OutputListPushBack(TF_OutputList* o, TF_AbstractTensor* tensor, TF_Status*); // TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.h
#ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_ #define TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_ #include <memory> #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/unified_api_testutil.h" namespace tensorflow { namespace gradients { /* Returns numerical grad inside `dtheta_approx` given `forward` model and
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
using ::tensorflow::string; typedef std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> unique_tensor_ptr; TF_Tensor* BoolTensor(int32_t v); // Create a tensor with values of type TF_INT8 provided by `values`. TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values); // Create a tensor with values of type TF_INT32 provided by `values`. TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
} TF_Tensor* numerical_tensor; s = GetValue(numerical_grad.get(), &numerical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto num_elem_numerical = TF_TensorElementCount(numerical_tensor); ASSERT_EQ(num_elem_numerical, num_grad); float* dnumerical = new float[num_elem_numerical]{0}; memcpy(&dnumerical[0], TF_TensorData(numerical_tensor), TF_TensorByteSize(numerical_tensor));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
// TODO(srbs): Figure out if we can avoid declaring this in the public header. // Wrapper for a tensor output of an operation executing under a tape. // // `GetID` returns a unique id for the wrapped tensor which is used to maintain // a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of // the op that produced it (or -1 if this tensor was watched using // `GradientTape::Watch`.) The op_id is simply a unique index assigned to each
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0)