diff options
Diffstat (limited to 'tensorflow/python/ops/nn_grad.py')
| -rw-r--r-- | tensorflow/python/ops/nn_grad.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/tensorflow/python/ops/nn_grad.py b/tensorflow/python/ops/nn_grad.py index 2a883eb0d5..dc24b821a5 100644 --- a/tensorflow/python/ops/nn_grad.py +++ b/tensorflow/python/ops/nn_grad.py @@ -863,27 +863,27 @@ def _BatchNormGrad(grad_y, grad_y = math_ops.cast(grad_y, dtypes.float32) if is_training: if data_format == b"NHWC": - keep_dims = False + keepdims = False reduce_axis = [0, 1, 2] else: - keep_dims = True + keepdims = True reduce_axis = [0, 2, 3] shape = [1, array_ops.size(scale), 1, 1] scale = array_ops.reshape(scale, shape) - mean_grad_y = math_ops.reduce_mean(grad_y, reduce_axis, keep_dims=keep_dims) - mean_x = math_ops.reduce_mean(x, reduce_axis, keep_dims=keep_dims) + mean_grad_y = math_ops.reduce_mean(grad_y, reduce_axis, keepdims=keepdims) + mean_x = math_ops.reduce_mean(x, reduce_axis, keepdims=keepdims) var_x = math_ops.reduce_mean( math_ops.squared_difference(x, array_ops.stop_gradient(mean_x)), reduce_axis, - keep_dims=keep_dims) + keepdims=keepdims) grad_y_offset = grad_y - mean_grad_y x_offset = x - mean_x mean = math_ops.reduce_mean( - grad_y * x_offset, axis=reduce_axis, keep_dims=keep_dims) + grad_y * x_offset, axis=reduce_axis, keepdims=keepdims) grad_x = scale * math_ops.rsqrt(var_x + epsilon) * ( grad_y_offset - math_ops.reciprocal(var_x + epsilon) * mean * x_offset) grad_scale = math_ops.rsqrt(var_x + epsilon) * math_ops.reduce_sum( - grad_y * x_offset, axis=reduce_axis, keep_dims=keep_dims) + grad_y * x_offset, axis=reduce_axis, keepdims=keepdims) if data_format == b"NCHW": grad_scale = array_ops.squeeze(grad_scale) grad_offset = math_ops.reduce_sum(grad_y, axis=reduce_axis) |