"//tensorflow/c/eager:tfe_context_internal",
        "//tensorflow/c/eager:tfe_op_internal",
        "//tensorflow/c/eager:tfe_tensorhandle_internal",
        "//tensorflow/c/experimental/gradients",
        "//tensorflow/c/experimental/gradients/tape",
        "//tensorflow/c/experimental/next_pluggable_device:c_api",
        "//tensorflow/c/experimental/ops",
        "//tensorflow/c:c_api_experimental",

                                                        TF_Status* status);

// Some TF ops need a step container to be set to limit the lifetime of some
// resources (mostly TensorArray and Stack, used in while loop gradients in
// graph mode). Calling this on a context tells it to start a step.
TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx);

// Ends a step. When there is no active step (that is, every started step has

      // Adding the gradients to the graph can alter the prefix to prevent
      // name collisions only if this prefix has not been provided explicitly
      // by the user. If it was provided, assert that it remained intact.
      if (prefix != nullptr && !absl::StartsWith(n->name(), prefix_cmp)) {
        status->status = tensorflow::errors::Internal(
            "BUG: The gradients prefix have been unexpectedly altered when "

        // (where the value starts on the host), without allowing other implicit
        // copies/broadcasts. Other implicit copies may be supported eventually,
        // but need special handling for gradients (gradient of copy-on is not
        // just copy-off but includes a sum) and consideration of performance.
        //
        // TODO(allenl): There may be smarter ways to do this copy in some

    tensorflow/contrib/solvers. Initial version has lanczos bidiagonalization,
    conjugate gradients and CGLS.
*   Added gradients for `matrix_solve_ls` and `self_adjoint_eig`.
*   Large cleanup to add second order gradient for ops with C++ gradients and
    improve existing gradients such that most ops can now be differentiated
    multiple times.
*   Added a solver for ordinary differential equations,

  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  TF_GraphCopyFunction(host_graph_, func2, grad_func, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

  // Verify that functions and their gradients are in host graph's GraphDef
  GraphDef gdef;
  GetGraphDef(host_graph_, &gdef);
  std::vector<std::pair<string, string>> grads = GetGradDefs(gdef);
  ASSERT_EQ(2, grads.size());

\n    background-color: $background;\n    border-color: $border;\n    // Remove CSS gradients if they're enabled\n    @if $enable-gradients {\n      background-image: none;\n    }\n  }\n\n  &:not(:disabled):not(.disabled):active,\n  &:not(:disabled):not(.disabled).active,\n  .show > &.dropdown-toggle {\n    color: color-yiq($active-background);\n    background-color: $active-background;\n    @if $enable-gradients {\n      background-image: none; // Remove the gradient for the pressed/active state\n...

\n    background-color: $background;\n    border-color: $border;\n    // Remove CSS gradients if they're enabled\n    @if $enable-gradients {\n      background-image: none;\n    }\n  }\n\n  &:not(:disabled):not(.disabled):active,\n  &:not(:disabled):not(.disabled).active,\n  .show > &.dropdown-toggle {\n    color: color-yiq($active-background);\n    background-color: $active-background;\n    @if $enable-gradients {\n      background-image: none; // Remove the gradient for the pressed/active state\n...

\n    background-color: $background;\n    border-color: $border;\n    // Remove CSS gradients if they're enabled\n    @if $enable-gradients {\n      background-image: none;\n    }\n  }\n\n  &:not(:disabled):not(.disabled):active,\n  &:not(:disabled):not(.disabled).active,\n  .show > &.dropdown-toggle {\n    color: color-yiq($active-background);\n    background-color: $active-background;\n    @if $enable-gradients {\n      background-image: none; // Remove the gradient for the pressed/active state\n...