Removes unnecessary eager-mode call to convert_to_tensor in record_gradient.

PiperOrigin-RevId: 170944265

tensorflow/python/eager/backprop.py

@@ -524,7 +524,7 @@ _grad_fn_accepts_none_for_indices = {
 }
 
 
-def _record_gradient(op_name, inputs, attrs, results, ctx, name):
+def _record_gradient(op_name, inputs, attrs, results, name):
   """Records gradients for a TensorFlow operation.
 
   Args:
@@ -534,7 +534,6 @@ def _record_gradient(op_name, inputs, attrs, results, ctx, name):
     attrs: A tuple with alternating string attr names and attr values for this
       operation.
     results: The results of the operation (as a flat list).
-    ctx: The value of context.context().
     name: Customized name for the operation.
 
   Returns:
@@ -572,7 +571,6 @@ def _record_gradient(op_name, inputs, attrs, results, ctx, name):
             "output_grads", orig_outputs, "gradients", result)
     return result
 
-  inputs = [ops.internal_convert_to_tensor(x, ctx=ctx) for x in inputs]
   tape.record_operation(op_name, results, inputs, [], grad_fn)
   if _tracing:
     print("Computed op", (name if name else op_name), "inputs", inputs,

tensorflow/python/eager/execute.py

@@ -84,7 +84,7 @@ def execute(op_name, num_outputs, inputs, attrs, ctx, name=None):
 
 
 def record_gradient(unused_op_name, unused_inputs, unused_attrs, unused_results,
-                    unused_ctx, unused_name):
+                    unused_name):
   """Import backprop if you want gradients recorded."""
   pass
 

tensorflow/python/eager/python_eager_op_gen.cc

@@ -412,7 +412,7 @@ string GenEagerPythonOp::Code() {
                          "    if not _result:\n"
                          "      return _op\n");
     }
-    strings::StrAppend(&result_, "    _inputs_flat = ", inputs, "\n");
+    strings::StrAppend(&result_, "    _inputs_flat = _op.inputs\n");
 
     // Compute graph-mode attrs.
     if (op_def_.attr_size() > 0) {
@@ -511,7 +511,7 @@ string GenEagerPythonOp::Code() {
   if (num_outs_ > 0) {
     strings::StrAppend(&result_, "  _execute.record_gradient(\n", "      \"",
                        op_def_.name(),
-                       "\", _inputs_flat, _attrs, _result, _ctx, name)\n");
+                       "\", _inputs_flat, _attrs, _result, name)\n");
     if (num_outs_ == 1 && !output_sizes[0].empty()) {
       // Single list result.
     } else if (num_outs_ == 1) {