Skip to content

test=develop, refine ocr attention model #17763

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Jun 5, 2019
Merged

test=develop, refine ocr attention model #17763

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
3001b7b
test=develop, refine ocr attention model
JiabinYang May 31, 2019
54304eb
test=develop, refine code, remove cpu only part
JiabinYang Jun 4, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
45 changes: 26 additions & 19 deletions python/paddle/fluid/tests/unittests/test_imperative_ocr_attention_model.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -90,7 +90,7 @@ def __init__(self,
3,
padding=1,
param_attr=conv_param_0,
bias_attr=None,
bias_attr=False,
act=None,
use_cudnn=use_cudnn)
self.bn_0_layer = BatchNorm(
Expand All @@ -102,7 +102,7 @@ def __init__(self,
filter_size=3,
padding=1,
param_attr=conv_param_1,
bias_attr=None,
bias_attr=False,
act=None,
use_cudnn=use_cudnn)
self.bn_1_layer = BatchNorm(
Expand Down Expand Up @@ -301,7 +301,11 @@ def __init__(self, scope_name, decoder_size):
decoder_size,
act=None,
bias_attr=False)
self.fc_2 = FC(self.full_name(), 1, act=None, bias_attr=False)
self.fc_2 = FC(self.full_name(),
1,
num_flatten_dims=2,
act=None,
bias_attr=False)

def _build_once(self, encoder_vec, encoder_proj, decoder_state):
pass
Expand All @@ -317,19 +321,17 @@ def forward(self, encoder_vec, encoder_proj, decoder_state):
decoder_state_expand)
concated = fluid.layers.tanh(x=concated)
attention_weight = self.fc_2(concated)

weights_reshape = fluid.layers.reshape(
x=attention_weight, shape=[-1], inplace=False)
x=attention_weight,
shape=[attention_weight.shape[0], attention_weight.shape[1]],
inplace=False)

weights_reshape = fluid.layers.softmax(weights_reshape)
scaled = fluid.layers.elementwise_mul(
x=encoder_vec, y=weights_reshape, axis=0)
scaled = fluid.layers.transpose(scaled, [0, 2, 1])
scaled = fluid.layers.reshape(
scaled, [-1, scaled.shape[1], scaled.shape[2], 1], inplace=False)
context = fluid.layers.pool2d(
input=scaled,
pool_size=[scaled.shape[2], scaled.shape[3]],
pool_type='avg')
context = fluid.layers.reshape(
context, [-1, context.shape[1]], inplace=False)
context = fluid.layers.reduce_sum(scaled, dim=1)

return context


Expand Down Expand Up @@ -381,7 +383,7 @@ def forward(self, target_embedding, encoder_vec, encoder_proj,
out = self.out_layer(h)
res.append(out)

res1 = fluid.layers.concat(res, axis=0)
res1 = fluid.layers.concat(res, axis=1)

return res1

Expand Down Expand Up @@ -427,7 +429,11 @@ class TestDygraphOCRAttention(unittest.TestCase):
def test_while_op(self):
seed = 90
epoch_num = 2
batch_num = 20
if core.is_compiled_with_cuda():
batch_num = 20
else:
print("in CPU")
batch_num = 2
np.random.seed = seed
image_np = np.random.randn(Config.batch_size, Config.DATA_SHAPE[0],
Config.DATA_SHAPE[1],
Expand All @@ -441,7 +447,6 @@ def test_while_op(self):
i * Config.max_length,
dtype='int64').reshape([1, Config.max_length])))

print(label_in_np.shape)
label_out_np = np.arange(
0, Config.max_length,
dtype='int64').reshape([1, Config.max_length])
Expand All @@ -450,7 +455,6 @@ def test_while_op(self):
(i - 1) * Config.max_length,
i * Config.max_length,
dtype='int64').reshape([1, Config.max_length])))
print(label_out_np.shape)
#if Config.use_gpu:
# place = fluid.CUDAPlace(0)
#else:
Expand Down Expand Up @@ -484,6 +488,8 @@ def test_while_op(self):
dy_prediction = ocr_attention(img, label_in)
label_out = fluid.layers.reshape(
label_out, [-1, 1], inplace=False)
dy_prediction = fluid.layers.reshape(
dy_prediction, [label_out.shape[0], -1], inplace=False)
loss = fluid.layers.cross_entropy(
input=dy_prediction, label=label_out)
avg_loss = fluid.layers.reduce_sum(loss)
Expand Down Expand Up @@ -536,6 +542,9 @@ def test_while_op(self):

static_prediction = ocr_attention(images, static_label_in)

static_prediction = fluid.layers.reshape(
static_prediction, shape=[-1, Config.num_classes + 2])

cost = fluid.layers.cross_entropy(
input=static_prediction, label=static_label_out)
static_avg_loss = fluid.layers.reduce_sum(cost)
Expand All @@ -558,8 +567,6 @@ def test_while_op(self):
static_param_init_value[static_param_name_list[i]] = out[i]

fetch_list = [static_avg_loss.name]
# print(static_test.name)
# fetch_list = [static_avg_loss.name, static_test.name]
fetch_list.extend(static_param_name_list)
fetch_list.extend(static_grad_name_list)
for epoch in range(epoch_num):
Expand Down