TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value) {
  float data[] = {value};
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_FLOAT, nullptr, 0, status);
  memcpy(TF_TensorData(t), &data[0], TF_TensorByteSize(t));
  TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteTensor(t);

#cgo CPPFLAGS: -fsanitize=memory

#include <string.h>
#include <stdint.h>
#include <stdlib.h>

void f(int32_t *p, int n) {
  int32_t * volatile q = (int32_t *)malloc(sizeof(int32_t) * n);
  memcpy(p, q, n * sizeof(*p));
  free(q);
}

void g(int32_t *p, int n) {
  if (p[4] != 1) {
    abort();
  }
}
*/
import "C"

import (
	"unsafe"
)

func main() {
	a := make([]int32, 10)

//go:cgo_import_dynamic madvise madvise ""
//go:cgo_import_dynamic malloc_num_zones malloc_num_zones ""
//go:cgo_import_dynamic malloc_zones malloc_zones ""
//go:cgo_import_dynamic memcpy memcpy ""
//go:cgo_import_dynamic memset_pattern16 memset_pattern16 ""
//go:cgo_import_dynamic mkdir mkdir ""
//go:cgo_import_dynamic mprotect mprotect ""
//go:cgo_import_dynamic open open ""
//go:cgo_import_dynamic pipe pipe ""

//go:cgo_import_dynamic madvise madvise ""
//go:cgo_import_dynamic malloc_num_zones malloc_num_zones ""
//go:cgo_import_dynamic malloc_zones malloc_zones ""
//go:cgo_import_dynamic memcpy memcpy ""
//go:cgo_import_dynamic memset_pattern16 memset_pattern16 ""
//go:cgo_import_dynamic mkdir mkdir ""
//go:cgo_import_dynamic mprotect mprotect ""
//go:cgo_import_dynamic open open ""
//go:cgo_import_dynamic pipe pipe ""

  // big-endian platform.
  memcpy(*buffer, &num_strings, sizeof(int32_t));

  // Set offset of strings.
  int32_t start = sizeof(int32_t) * (num_strings + 2);
  for (size_t i = 0; i < offset_.size(); i++) {
    // TODO(b/165919229): This code will need changing if/when we port to a
    // big-endian platform.
    int32_t offset = start + offset_[i];
    memcpy(*buffer + sizeof(int32_t) * (i + 1), &offset, sizeof(int32_t));

    ASSERT_EQ(num_elem_numerical, num_elem_analytical);

    float* dnumerical = new float[num_elem_numerical]{0};
    memcpy(&dnumerical[0], TF_TensorData(numerical_tensor),
           TF_TensorByteSize(numerical_tensor));
    float* danalytical = new float[num_elem_analytical]{0};
    memcpy(&danalytical[0], TF_TensorData(analytical_tensor),
           TF_TensorByteSize(analytical_tensor));

  TF_RETURN_IF_ERROR(GetValue(theta, &theta_tensor));

  // Get number of elements and fill data.
  int num_elems = TF_TensorElementCount(theta_tensor);
  vector<float> theta_data(num_elems);
  memcpy(theta_data.data(), TF_TensorData(theta_tensor),
         TF_TensorByteSize(theta_tensor));

  // Initialize space for the numerical gradient.
  vector<float> dtheta_approx(num_elems);

    EXPECT_EQ(stream->stream_id, 14);
    std::memcpy(host_dst, device_src->opaque, size);
  };

  StreamExecutor* executor = GetExecutor(0);
  TF_ASSERT_OK_AND_ASSIGN(auto stream, executor->CreateStream());
  size_t size = sizeof(int);
  int src_data = 34;
  int dst_data = 2;
  DeviceMemoryBase device_src(&src_data, size);
  TF_ASSERT_OK(stream->Memcpy(&dst_data, device_src, size));
  ASSERT_EQ(dst_data, 34);
}

/* A trivial example of wrapping a C library using SWIG.  */

%{
#include <stdio.h>
#include <stdlib.h>
%}

%typemap(gotype) const char * "string"
%typemap(in) const char * %{
	$1 = malloc($input.n + 1);
	memcpy($1, $input.p, $input.n);
	$1[$input.n] = '\0';
%}
%typemap(freearg) const char * %{
	free($1);
%}

FILE *fopen(const char *name, const char *mode);
int fclose(FILE *);

package main

/*
#include <string.h>
#include <stdint.h>
#include <stdlib.h>

void f(int32_t *p, int n) {
  int32_t * volatile q = (int32_t *)malloc(sizeof(int32_t) * n);
  memcpy(p, q, n * sizeof(*p));
  free(q);
}

void g(int32_t *p, int n) {
  if (p[4] != 1) {
    // We shouldn't get here; msan should stop us first.
    exit(0);
  }
}
*/
import "C"

import (