Searched refs:broadcast_to (Results 1 – 20 of 20) sorted by relevance
37 v_tf = array_ops.broadcast_to(constant_op.constant(x), [3, 3])38 v_np = np.broadcast_to(x, [3, 3])45 v_tf = array_ops.broadcast_to(constant_op.constant(x), [3, 3])46 v_np = np.broadcast_to(x, [3, 3])53 v_tf = array_ops.broadcast_to(constant_op.constant(x), [3, 3])54 v_np = np.broadcast_to(x, [3, 3])65 v_tf = array_ops.broadcast_to(constant_op.constant(x), output_shape)66 v_np = np.broadcast_to(x, output_shape)75 v_tf = array_ops.broadcast_to(constant_op.constant(x), output_shape)76 v_np = np.broadcast_to(x, output_shape)[all …]
112 array_ops.broadcast_to(
118 pad = ragged_tensor_shape.broadcast_to(128 pad = array_ops.broadcast_to(default_value, pad_shape)
440 def broadcast_to(rt_input, shape, broadcast_inner_dimensions=True): function475 return array_ops.broadcast_to(rt_input, shape.inner_dim_sizes)
172 repeats = array_ops.broadcast_to(repeats, broadcast_shape)
206 x = ragged_tensor_shape.broadcast_to(208 y = ragged_tensor_shape.broadcast_to(
422 result = ragged_tensor_shape.broadcast_to(x, shape)
1265 default_value = array_ops.broadcast_to(default_value, value_shape)
101 left_packed_bounds.extend(list(np.broadcast_to(bounds[0], shape).flat))102 right_packed_bounds.extend(list(np.broadcast_to(bounds[1], shape).flat))
32 >>> y = tf.broadcast_to(x, [3, 3])
42 name: "broadcast_to"
480 name: "broadcast_to"
916 name: "broadcast_to"
1472 array_ops.broadcast_to,1477 array_ops.broadcast_to,1482 array_ops.broadcast_to,1487 array_ops.broadcast_to,1492 array_ops.broadcast_to,1497 array_ops.broadcast_to,1504 array_ops.broadcast_to,
218 return array_ops.broadcast_to(x, shape, name=name)
1014 def broadcast_to(self, tensor, destinations): member in DistributionStrategyExtended
625 return strategy.extended.broadcast_to(
174 np.broadcast_to(np.array([0, 1]), (1, 10, 2)))
1487 dilation_rate=np.broadcast_to(rate, (2,)),