From 5bfb0ecc30ea84d5aaeee62c62add42051a4eabe Mon Sep 17 00:00:00 2001 From: yaoxuefeng Date: Thu, 27 Aug 2020 20:55:15 +0800 Subject: [PATCH] fix datanorm op add attr bug test=develop (#25000) (#26580) --- python/paddle/fluid/layers/nn.py | 17 +++--- .../tests/unittests/test_data_norm_op.py | 61 ++++++++++++++++++- 2 files changed, 69 insertions(+), 9 deletions(-) diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py index 584829fe493..32ba0ecf86b 100644 --- a/python/paddle/fluid/layers/nn.py +++ b/python/paddle/fluid/layers/nn.py @@ -4686,6 +4686,15 @@ def data_norm(input, "BatchSum": batch_sum, "BatchSquareSum": batch_square_sum } + attrs = { + "epsilon": epsilon, + "sync_stats": sync_stats, + "summary_decay_rate": summary_decay_rate, + } + if slot_dim > 0: + attrs["slot_dim"] = slot_dim + if enable_scale_and_shift: + attrs["enable_scale_and_shift"] = enable_scale_and_shift if enable_scale_and_shift: inputs["scale_w"] = scale_w inputs["bias"] = bias @@ -4700,13 +4709,7 @@ def data_norm(input, "BatchSum": batch_sum, "BatchSquareSum": batch_square_sum }, - attrs={ - "epsilon": epsilon, - "slot_dim": slot_dim, - "sync_stats": sync_stats, - "summary_decay_rate": summary_decay_rate, - "enable_scale_and_shift": enable_scale_and_shift - }) + attrs=attrs) return helper.append_activation(data_norm_out) diff --git a/python/paddle/fluid/tests/unittests/test_data_norm_op.py b/python/paddle/fluid/tests/unittests/test_data_norm_op.py index 0b7ed20f4b1..2758a2e09ed 100644 --- a/python/paddle/fluid/tests/unittests/test_data_norm_op.py +++ b/python/paddle/fluid/tests/unittests/test_data_norm_op.py @@ -271,7 +271,7 @@ class TestDataNormOpWithEnableScaleAndShift(OpTest): self.use_mkldnn = False epsilon = 0.00001 slot_dim = -1 - enable_scale_and_shitf = True + enable_scale_and_shift = True x_shape = [2, 50] scale_shape = [50] tp = np.float32 @@ -319,6 +319,63 @@ class TestDataNormOpWithEnableScaleAndShift(OpTest): self.check_grad(['X'], 'Y', no_grad_set=set([])) +class TestDataNormOpWithoutEnableScaleAndShift(OpTest): + """ + test class for data norm op + test forward and backward + """ + + def setUp(self): + """ + init data norm op test env + """ + self.op_type = 'data_norm' + self.use_mkldnn = False + epsilon = 0.00001 + slot_dim = -1 + enable_scale_and_shift = True + x_shape = [2, 50] + scale_shape = [50] + tp = np.float32 + + x_val = np.random.uniform(-1, 1, x_shape).astype(tp) + batch_size = np.ones(scale_shape).astype(tp) + batch_size *= 1e4 + batch_sum = np.zeros(scale_shape).astype(tp) + batch_square_sum = np.ones(scale_shape).astype(tp) + batch_square_sum *= 1e4 + scale_w = np.ones(scale_shape).astype(tp) + bias = np.zeros(scale_shape).astype(tp) + + y = np.array(x_val) + + mean = np.zeros(x_shape).astype(tp) + scale = np.ones(x_shape).astype(tp) + + self.inputs = { + "X": x_val, + "BatchSize": batch_size, + "BatchSum": batch_sum, + "BatchSquareSum": batch_square_sum, + "scale_w": scale_w, + "bias": bias + } + self.outputs = {"Y": y, "Means": mean, "Scales": scale} + self.attrs = {"epsilon": epsilon, "use_mkldnn": self.use_mkldnn} + + def test_check_output(self): + """ + test check forward, check output + """ + self.check_output() + + def test_check_grad(self): + """ + test check backward, check grad + """ + self.check_grad(['X'], 'Y', no_grad_set=set([])) + + class TestDataNormOpWithEnableScaleAndShift_1(OpTest): """ test class for data norm op @@ -333,7 +390,7 @@ class TestDataNormOpWithEnableScaleAndShift_1(OpTest): self.use_mkldnn = False epsilon = 0.00001 slot_dim = 1 - enable_scale_and_shitf = True + enable_scale_and_shift = True x_shape = [2, 50] scale_shape = [50] tp = np.float32 -- GitLab