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  1. 25 2月, 2021 3 次提交
  3. 24 2月, 2021 10 次提交
  5. 23 2月, 2021 4 次提交
  7. 22 2月, 2021 5 次提交
    • T
      support save multi sparse table in one path (#31108) · 565354f6
      由 Thunderbrook 提交于 
      * save multi table one path

* format
      565354f6
    • H
      [Dy2stat] Refactoring tensor_shape_transformer.py to Fix Change after Assign Bug (#31082) · cf43a321
      由 Huihuang Zheng 提交于 
      **Problem**
In our old shape transformer logic, if user write:
```
s = tensor.shape
...
y = paddle.some_api(s)
```
Dy2stat will change it to
```
...
y = paddle.some_api(convert_var_shape(tensor))
```
However it will cause fatal bug if user changes the shape of `x` after assign. For example:
```
s = tensor.shape
...
tensor = paddle.some_change_shape_api(tensor)
...
y = paddle.some_api(s)
```
Then the Dy2stat will get wrong result because the code is translated into:
```
tensor = paddle.some_change_shape_api(tensor)
...
y = paddle.some_api(convert_var_shape(tensor)) # tensor shape has been changed, not origin `s` value
```

**Solution Logic**

It can not be solved in the old logic, so I refactoring tensor_shape_transformer logic. Now we will use `s` to store shape attribute and generate a var `s__STATIC_CONVERT_VAR_SHAPE_SUFFIX` to store static shape API `shape(tensor)`
```
s = tensor.shape
...
y = paddle.some_api(s)
```
Dy2stat will change it to
```
s = tensor.shape
s__STATIC_CONVERT_VAR_SHAPE_SUFFIX = shape(tensor)
...
y = paddle.some_api(choose_shape_attr_or_api(s, s__STATIC_CONVERT_VAR_SHAPE_SUFFIX ))
```
In this case, the code is consistent with origin dygraph meaning and it fixed the change after assign bug.

**Code Key Note**

To help reviewers, the key change of this PR is changing `self.name_to_var_shape` from "mapping name to shape node" to "mapping name to its STATIC_CONVERT_VAR_SHAPE_SUFFIX name", then if a variable name has the SUFFIX, we can choose to use attribute shape or shape api. Other changes go with the key change.

**Consideration**
The issue of this PR is that we store extra static `shape` API result, will it harms the speed of Dy2stat? In some cases it will, but we argue that the benefit would be greater than the cost.

1. The extra calling to static `shape` API will happen when coder assign among shape variables. Take the following dygraph code as an instance:
```
s1 = tensor.shape
s2 = s1
s3 = s2
...
```
Then we called extra static `shape` APIs again and again, however users seldom write code like this.

2. If the shape variable is used a lot, for example:
```
s = tensor.shape
y1 = paddle.some_api1(s)
y2 = paddle.some_api2(s)
y3 = paddle.some_api3(s)
```
Our old logic will create 3 shape APIs but now just 1. This is more common user code pattern. In fact, if reviewers take a look at the current unit test in this PR, you could see the op numbers decrease after this PR. So we argue that this PR can also improve speed in this code pattern.
      cf43a321
    • T
      fix dist fleet ctr ut (#31087) · 0e4b1542
      由 tangwei12 提交于 
      * fix dist fleet ctr ut

Change-Id: I59bf5123c7bd47bd0e8f1ca2a26295257597c0f5

* fix dist fleet ctr ut

Change-Id: Iafcdd172364be47fe67b753774ce09af050bcbce

* Update CMakeLists.txt
      0e4b1542
    • Z
      [2.0Custom OP]Support New Custom OP on Windows (#31063) · adaec007
      由 Zhou Wei 提交于 
      * [2.0.1]Support New Custom OP on windows

* fix CI

* fix code style

* fix CI

* fix CI

* fix coverage

* fix CI

* fix CI
      adaec007
    • C
      add optional for param attr args, test=document_fix (#31105) · 2168f08a
      由 Chen Weihang 提交于
      2168f08a
  9. 20 2月, 2021 6 次提交
  11. 19 2月, 2021 7 次提交
  13. 18 2月, 2021 5 次提交
    • P
      add trt transpose and flatten converter (#31022) · 9b54fe41
      由 Pei Yang 提交于
      9b54fe41
    • A
      [CustomOp] Support Compile multi ops at same time (#30920) · 4c9f96c9
      由 Aurelius84 提交于 
      
* add more unitest for ABI compatibility

* add more unittest

* refine warning style

* support compile multi custom ops in same time

* fix not import paddle in unittest

* fix typo

* add more unittest

* add comment for details
      4c9f96c9
    • J
      Add Conv Transpose BF16 (#30877) · caf9d398
      由 joanna.wozna.intel 提交于 
      * Add conv transpose BF16

* Share function GetWeightsTz

* Adjust to review and fix op compatibility

* Add bias to unique handler name

* Remove errors related to paddle enforce

* Add conv2d_transpose to bf16 list and kernel refator
      caf9d398
    • H
      Refine fake_interface Error Message (#30981) · cbbe1274
      由 Huihuang Zheng 提交于 
      Refine fake_interface Error Message
      cbbe1274
    • H
      Add Support for Tuple in for Loop (#30998) · c1375783
      由 Huihuang Zheng 提交于 
      Dy2stat didn't support tuple as iteration variable in the past. This PR added there main cases:

       1). Non-enumerate case: for var1, var2 in var|var.numpy() will be re-written as:
          for FOR_ITER_TUPLE_PREFIX_x in var | var.numpy():
            var1 = FOR_ITER_TUPLE_PREFIX_x[0]
            var2 = FOR_ITER_TUPLE_PREFIX_x[1]
        2). Enumerate out tuple case: for t in enumerate(var|var.numpy) will be rewritten as:
          for FOR_ITER_TUPLE_INDEX_PREFIX_x, FOR_ITER_TUPLE_PREFIX_x in enumerate(var|var.numpy):
            t = (FOR_ITER_TUPLE_INDEX_PREFIX_x, FOR_ITER_TUPLE_PREFIX_x)
        3). Enumerate inner tuple case: for i, (var1, (var2, va3)) in enumerate(var|var.numpy()) will
        be re-written as:
          for i, FOR_ITER_TUPLE_PREFIX_x in var | var.numpy():
            var1 = FOR_ITER_TUPLE_PREFIX_x[0]
            var2 = FOR_ITER_TUPLE_PREFIX_x[1][0]
            var3 = FOR_ITER_TUPLE_PREFIX_x[1][1]
      c1375783