提交 c8cdef37 编写于 作者: L liym27 提交者: hong

change the default value of summarize from -1 to 20 in Print API to improve ease of use (#18738)

* change the default value of summarize from -1 to 20 in Print op to improve ease of use, test=develop

* change the doc of API Print to make the document easier to understand, test=develop
上级 1331c9e1
...@@ -368,7 +368,7 @@ paddle.fluid.layers.StaticRNN.step_input (ArgSpec(args=['self', 'x'], varargs=No ...@@ -368,7 +368,7 @@ paddle.fluid.layers.StaticRNN.step_input (ArgSpec(args=['self', 'x'], varargs=No
paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '252890d4c3199a7623ab8667e13fd837')) paddle.fluid.layers.StaticRNN.step_output (ArgSpec(args=['self', 'o'], varargs=None, keywords=None, defaults=None), ('document', '252890d4c3199a7623ab8667e13fd837'))
paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '7a0000520f179f35239956a5ba55119f')) paddle.fluid.layers.StaticRNN.update_memory (ArgSpec(args=['self', 'mem', 'var'], varargs=None, keywords=None, defaults=None), ('document', '7a0000520f179f35239956a5ba55119f'))
paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '5b552a1f0f7eb4dacb768a975ba15d08')) paddle.fluid.layers.reorder_lod_tensor_by_rank (ArgSpec(args=['x', 'rank_table'], varargs=None, keywords=None, defaults=None), ('document', '5b552a1f0f7eb4dacb768a975ba15d08'))
paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, -1, True, True, True, True, 'both')), ('document', 'ee6c70867d317b0a87094ed23546215f')) paddle.fluid.layers.Print (ArgSpec(args=['input', 'first_n', 'message', 'summarize', 'print_tensor_name', 'print_tensor_type', 'print_tensor_shape', 'print_tensor_lod', 'print_phase'], varargs=None, keywords=None, defaults=(-1, None, 20, True, True, True, True, 'both')), ('document', '3130bed32922b9fd84ce2dea6250f635'))
paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '3011dc695f490afdf504dc24f628319a')) paddle.fluid.layers.is_empty (ArgSpec(args=['x', 'cond'], varargs=None, keywords=None, defaults=(None,)), ('document', '3011dc695f490afdf504dc24f628319a'))
paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd894323f31a913c4a5bd4cc764f6a76a')) paddle.fluid.layers.sigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd894323f31a913c4a5bd4cc764f6a76a'))
paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd083538e3439ed6b28b00207e0f321d5')) paddle.fluid.layers.logsigmoid (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd083538e3439ed6b28b00207e0f321d5'))
......
...@@ -137,7 +137,7 @@ def merge_lod_tensor(in_true, in_false, x, mask, level=0): ...@@ -137,7 +137,7 @@ def merge_lod_tensor(in_true, in_false, x, mask, level=0):
def Print(input, def Print(input,
first_n=-1, first_n=-1,
message=None, message=None,
summarize=-1, summarize=20,
print_tensor_name=True, print_tensor_name=True,
print_tensor_type=True, print_tensor_type=True,
print_tensor_shape=True, print_tensor_shape=True,
...@@ -179,12 +179,26 @@ def Print(input, ...@@ -179,12 +179,26 @@ def Print(input,
import paddle.fluid as fluid import paddle.fluid as fluid
input = fluid.layers.data(name="input", shape=[4, 32, 32], dtype="float32") input = fluid.layers.fill_constant(shape=[10,2], value=3, dtype='int64')
input = fluid.layers.Print(input, message = "The content of input layer:") input = fluid.layers.Print(input, message="The content of input layer:")
# value = some_layer(...)
# Print(value, summarize=10, main_program = fluid.default_main_program()
# message="The content of some_layer: ") exe = fluid.Executor(fluid.CPUPlace())
exe.run(main_program)
Output at runtime:
.. code-block:: bash
1564546375 The content of input layer: The place is:CPUPlace
Tensor[fill_constant_0.tmp_0]
shape: [10,2,]
dtype: x
data: 3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,
# The information of dtype at runtime may vary in different environments.
# Eg:
# If the dtype='int64' of Tensor y, the corresponding c++ type is int64_t.
# The dtype of output is "x" ("x" is typeid(int64_t).name()) with MacOS and gcc4.8.2
''' '''
helper = LayerHelper('print' + "_" + input.name, **locals()) helper = LayerHelper('print' + "_" + input.name, **locals())
output = helper.create_variable_for_type_inference(input.dtype) output = helper.create_variable_for_type_inference(input.dtype)
......
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