m53297601
/
Paddle
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Refine error message of transpose_op (#20437)

Browse Source 
* Refine error message of transpose.
* Fix transpose, multiplex, unsqueeze, unstack. test=develop, test=document_preview, test=document_fix
revert-20712-fix_depthwise_conv
Yuan Shuai 6 years ago committed by GitHub
parent f567214b6a
commit 172e91c008
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 159 additions and 63 deletions
Show Stats Download Patch File Download Diff File

8
paddle/fluid/API.spec
Unescape View File

@ -177,14 +177,14 @@ paddle.fluid.layers.matmul (ArgSpec(args=['x', 'y', 'transpose_x', 'transpose_y'
paddle.fluid.layers.topk (ArgSpec(args=['input', 'k', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e645c2f6c24cf076260d380df929e243'))
paddle.fluid.layers.warpctc (ArgSpec(args=['input', 'label', 'blank', 'norm_by_times', 'input_length', 'label_length'], varargs=None, keywords=None, defaults=(0, False, None, None)), ('document', '79aaea078ddea57a82ed7906d71dedc7'))
paddle.fluid.layers.sequence_reshape (ArgSpec(args=['input', 'new_dim'], varargs=None, keywords=None, defaults=None), ('document', 'eeb1591cfc854c6ffdac77b376313c44'))
paddle.fluid.layers.transpose (ArgSpec(args=['x', 'perm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '8e72db173d4c082e27cb11f31d8c9bfa'))
paddle.fluid.layers.transpose (ArgSpec(args=['x', 'perm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'ae5c346abc8a7d85fc3ebe2e1ba0f428'))
paddle.fluid.layers.im2sequence (ArgSpec(args=['input', 'filter_size', 'stride', 'padding', 'input_image_size', 'out_stride', 'name'], varargs=None, keywords=None, defaults=(1, 1, 0, None, 1, None)), ('document', 'fe352915a543cec434f74e9b32ac49da'))
paddle.fluid.layers.nce (ArgSpec(args=['input', 'label', 'num_total_classes', 'sample_weight', 'param_attr', 'bias_attr', 'num_neg_samples', 'name', 'sampler', 'custom_dist', 'seed', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, 'uniform', None, 0, False)), ('document', '38297567127888e01542857839058d52'))
paddle.fluid.layers.sampled_softmax_with_cross_entropy (ArgSpec(args=['logits', 'label', 'num_samples', 'num_true', 'remove_accidental_hits', 'use_customized_samples', 'customized_samples', 'customized_probabilities', 'seed'], varargs=None, keywords=None, defaults=(1, True, False, None, None, 0)), ('document', 'd4435a63d34203339831ee6a86ef9242'))
paddle.fluid.layers.hsigmoid (ArgSpec(args=['input', 'label', 'num_classes', 'param_attr', 'bias_attr', 'name', 'path_table', 'path_code', 'is_custom', 'is_sparse'], varargs=None, keywords=None, defaults=(None, None, None, None, None, False, False)), ('document', '247de339879885526e7f4d271967088f'))
paddle.fluid.layers.beam_search (ArgSpec(args=['pre_ids', 'pre_scores', 'ids', 'scores', 'beam_size', 'end_id', 'level', 'is_accumulated', 'name', 'return_parent_idx'], varargs=None, keywords=None, defaults=(0, True, None, False)), ('document', '2b505ddaa309fd7b9be5445e41ca76d5'))
paddle.fluid.layers.row_conv (ArgSpec(args=['input', 'future_context_size', 'param_attr', 'act'], varargs=None, keywords=None, defaults=(None, None)), ('document', 'a6477957b44907787b3c74157400b80c'))
paddle.fluid.layers.multiplex (ArgSpec(args=['inputs', 'index'], varargs=None, keywords=None, defaults=None), ('document', '2c4d1ae83da6ed35e3b36ba1b3b51d23'))
paddle.fluid.layers.multiplex (ArgSpec(args=['inputs', 'index'], varargs=None, keywords=None, defaults=None), ('document', '8dba76e9b1521b4ab62e38608b6aa3f6'))
paddle.fluid.layers.layer_norm (ArgSpec(args=['input', 'scale', 'shift', 'begin_norm_axis', 'epsilon', 'param_attr', 'bias_attr', 'act', 'name'], varargs=None, keywords=None, defaults=(True, True, 1, 1e-05, None, None, None, None)), ('document', '678de6d6d0c93da74189990b039daae8'))
paddle.fluid.layers.group_norm (ArgSpec(args=['input', 'groups', 'epsilon', 'param_attr', 'bias_attr', 'act', 'data_layout', 'name'], varargs=None, keywords=None, defaults=(1e-05, None, None, None, 'NCHW', None)), ('document', '87dd4b818f102bc1a780e1804c28bd38'))
paddle.fluid.layers.spectral_norm (ArgSpec(args=['weight', 'dim', 'power_iters', 'eps', 'name'], varargs=None, keywords=None, defaults=(0, 1, 1e-12, None)), ('document', '7b3d14d6707d878923847ec617d7d521'))
@ -194,7 +194,7 @@ paddle.fluid.layers.one_hot (ArgSpec(args=['input', 'depth', 'allow_out_of_range
paddle.fluid.layers.autoincreased_step_counter (ArgSpec(args=['counter_name', 'begin', 'step'], varargs=None, keywords=None, defaults=(None, 1, 1)), ('document', 'd016c137beb9a4528b7378b437d00151'))
paddle.fluid.layers.reshape (ArgSpec(args=['x', 'shape', 'actual_shape', 'act', 'inplace', 'name'], varargs=None, keywords=None, defaults=(None, None, False, None)), ('document', 'd7a6d59e464a7ef1184eb6caefeb49f1'))
paddle.fluid.layers.squeeze (ArgSpec(args=['input', 'axes', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '61d8be0c5af7b9313b0bdb8697c7d4de'))
paddle.fluid.layers.unsqueeze (ArgSpec(args=['input', 'axes', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'b9bd3129d36a70e7c4385df51ff71c62'))
paddle.fluid.layers.unsqueeze (ArgSpec(args=['input', 'axes', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd1f4c0d1284315066210ff0b33adf747'))
paddle.fluid.layers.lod_reset (ArgSpec(args=['x', 'y', 'target_lod'], varargs=None, keywords=None, defaults=(None, None)), ('document', '74498d37dd622ac472cb36887fce09ea'))
paddle.fluid.layers.lod_append (ArgSpec(args=['x', 'level'], varargs=None, keywords=None, defaults=None), ('document', '37663c7c179e920838a250ea0e28d909'))
paddle.fluid.layers.lrn (ArgSpec(args=['input', 'n', 'k', 'alpha', 'beta', 'name'], varargs=None, keywords=None, defaults=(5, 1.0, 0.0001, 0.75, None)), ('document', 'fa565b65fb98d3ca82361c79f41b06b2'))
@ -238,7 +238,7 @@ paddle.fluid.layers.flatten (ArgSpec(args=['x', 'axis', 'name'], varargs=None, k
paddle.fluid.layers.sequence_mask (ArgSpec(args=['x', 'maxlen', 'dtype', 'name'], varargs=None, keywords=None, defaults=(None, 'int64', None)), ('document', '41cf72ec41306234906b53b82124cb92'))
paddle.fluid.layers.stack (ArgSpec(args=['x', 'axis'], varargs=None, keywords=None, defaults=(0,)), ('document', '666d995b36e9f287d77f09189370fb3a'))
paddle.fluid.layers.pad2d (ArgSpec(args=['input', 'paddings', 'mode', 'pad_value', 'data_format', 'name'], varargs=None, keywords=None, defaults=([0, 0, 0, 0], 'constant', 0.0, 'NCHW', None)), ('document', '4e277f064c1765f77f946da194626ca1'))
paddle.fluid.layers.unstack (ArgSpec(args=['x', 'axis', 'num'], varargs=None, keywords=None, defaults=(0, None)), ('document', 'b0c4ca08d4eb295189e1b107c920d093'))
paddle.fluid.layers.unstack (ArgSpec(args=['x', 'axis', 'num'], varargs=None, keywords=None, defaults=(0, None)), ('document', 'b9d343d8961dfa30d65b1e59d86f53cd'))
paddle.fluid.layers.sequence_enumerate (ArgSpec(args=['input', 'win_size', 'pad_value', 'name'], varargs=None, keywords=None, defaults=(0, None)), ('document', 'eee654602349a5271db0eb2d0eceb98b'))
paddle.fluid.layers.unique (ArgSpec(args=['x', 'dtype'], varargs=None, keywords=None, defaults=('int32',)), ('document', 'cab0b06e5683875f12f0efc62fa230a9'))
paddle.fluid.layers.unique_with_counts (ArgSpec(args=['x', 'dtype'], varargs=None, keywords=None, defaults=('int32',)), ('document', '4496682f302007019e458a2f30d8a7c3'))

16
paddle/fluid/operators/transpose_op.cc
Unescape View File

@ -39,17 +39,23 @@ class TransposeOp : public framework::OperatorWithKernel {
size_t axis_size = axis.size();
PADDLE_ENFORCE_EQ(x_rank, axis_size,
"The input tensor's rank(%d) "
"should be equal to the axis's size(%d)",
"ShapeError: The input tensor's dimension "
"should be equal to the axis's size. "
"But received input tensor's dimension is %d, "
"axis's size is %d",
x_rank, axis_size);
std::vector<int> count(axis_size, 0);
for (size_t i = 0; i < axis_size; i++) {
PADDLE_ENFORCE(
axis[i] < static_cast<int>(axis_size) && ++count[axis[i]] == 1,
"Each element of Attribute axis should be a unique value "
"range from 0 to (dims - 1), "
"where the dims is the axis's size");
"ValueError: Each element of Attribute axis should "
"be a unique value range from 0 to (dims - 1), "
"where the dims is the axis's size, "
"unique value means this axis value can appear only once. "
"But received axis[%d] is %d, axis_size is %d, "
"count[axis[%d]] is %d",
i, axis[i], axis_size, i, count[axis[i]]);
}
framework::DDim out_dims(x_dims);

157
python/paddle/fluid/layers/nn.py
View File

File diff suppressed because it is too large Load Diff

41
python/paddle/fluid/tests/unittests/test_transpose_op.py
Unescape View File

@ -17,6 +17,8 @@ from __future__ import print_function
import unittest
import numpy as np
from op_test import OpTest
import paddle.fluid as fluid
from paddle.fluid import Program, program_guard
class TestTransposeOp(OpTest):
@ -78,5 +80,44 @@ class TestCase4(TestTransposeOp):
self.axis = (4, 2, 3, 1, 0, 5)
class TestTransposeOpError(OpTest):
def test_errors(self):
with program_guard(Program(), Program()):
x = fluid.layers.data(name='x', shape=[10, 5, 3], dtype='float32')
def test_x_Variable_check():
# the Input(x)'s type must be Variable
fluid.layers.transpose("not_variable", perm=[1, 0, 2])
self.assertRaises(TypeError, test_x_Variable_check)
def test_x_dtype_check():
# the Input(x)'s dtype must be one of [float16, float32, float64, int32, int64]
x1 = fluid.layers.data(
name='x1', shape=[10, 5, 3], dtype='bool')
fluid.layers.transpose(x1, perm=[1, 0, 2])
self.assertRaises(TypeError, test_x_dtype_check)
def test_perm_list_check():
# Input(perm)'s type must be list
fluid.layers.transpose(x, perm="[1, 0, 2]")
self.assertRaises(TypeError, test_perm_list_check)
def test_perm_length_and_x_dim_check():
# Input(perm) is the permutation of dimensions of Input(input)
# its length should be equal to dimensions of Input(input)
fluid.layers.transpose(x, perm=[1, 0, 2, 3, 4])
self.assertRaises(ValueError, test_perm_length_and_x_dim_check)
def test_each_elem_value_check():
# Each element in Input(perm) should be less than Input(x)'s dimension
fluid.layers.transpose(x, perm=[3, 5, 7])
self.assertRaises(ValueError, test_each_elem_value_check)
if __name__ == '__main__':
unittest.main()

Write Preview
Loading…
Cancel
Save