| /external/tensorflow/tensorflow/contrib/copy_graph/python/util/ |
| copy_elements.py | 196 new_inputs = [
217 new_op = ops.Operation(new_node_def, to_graph, new_inputs, output_types,
|
| /external/tensorflow/tensorflow/python/ops/ |
| cond_v2.py | 337 new_inputs = []
357 new_inputs.append(t)
359 return new_inputs
455 new_inputs = shared_inputs + true_only_inputs + false_only_inputs
471 true_graph.captures = collections.OrderedDict(zip(new_inputs,
473 false_graph.captures = collections.OrderedDict(zip(new_inputs,
476 return new_inputs
|
| while_v2.py | 285 new_inputs = body_grad_graph.empty_tensor_lists
292 while_op._add_while_inputs(new_inputs)
[all...] |
| /external/mesa3d/src/mesa/tnl/ |
| t_context.h | 330 GLuint new_inputs);
359 GLuint new_inputs; member in struct:tnl_clipspace
478 * <= n < end. The new_inputs parameter indicates those fields of
|
| t_vertex.c | 291 vtx->new_inputs = ~0;
302 vtx->new_inputs = ~0;
316 vtx->new_inputs = ~0;
383 vtx->new_inputs |= newinputs;
|
| /external/mesa3d/src/mesa/drivers/dri/i915/ |
| intel_render.c | 238 tnl->clipspace.new_inputs |= VERT_BIT_POS;
|
| /external/tensorflow/tensorflow/contrib/graph_editor/tests/ |
| transform_test.py | 91 def my_transform_op_handler(info, op, new_inputs):
93 op_, op_outputs_ = ge.transform.copy_op_handler(info, op, new_inputs)
|
| /external/tensorflow/tensorflow/contrib/graph_editor/ |
| transform.py | 131 def copy_op_handler(info, op, new_inputs, copy_shape=False, nodedef_fn=None):
137 new_inputs: The new inputs for this op.
147 # The `new_inputs` was added to this function. For compatibility reason,
148 # let's raise an error if `new_inputs` is a boolean.
149 if isinstance(new_inputs, bool):
150 raise TypeError("the `new_inputs` argument must be an iterable.")
175 op_ = tf_ops.Operation(node_def_, info.graph_, new_inputs, output_types_,
465 new_inputs = [self._transformed_t(info, t, op) for t in op.inputs]
466 op_, op_outputs_ = self.transform_op_handler(info, op, new_inputs)
|
| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| pfor.py | 473 new_inputs = []
485 new_inputs.append(new_inp)
492 return not_all_done, new_indices, new_inputs, new_output_tas
495 new_indices, cond_stacked, new_inputs,
520 cond_stacked, new_inputs,
621 new_inputs, new_output_tas) = self._process_cond_unstacked(
625 new_inputs, new_output_tas) = self._process_cond_stacked(
632 new_indices, cond_stacked, new_inputs,
640 new_inputs[num_outputs:]) + new_output_tas)
[all...] |
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| fold_batch_norms.py | [all...] |
