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[Cleanup][A-7] Replace VarType #61548

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merged 3 commits into from
Feb 4, 2024
Merged

[Cleanup][A-7] Replace VarType #61548

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5919861
fix
enkilee Feb 4, 2024
2a879d4
revert some
enkilee Feb 4, 2024
385b576
fix
enkilee Feb 4, 2024
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11 changes: 6 additions & 5 deletions test/legacy_test/test_protobuf_descs.py
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这个文件直接恢复吧，这个暂时不适合修改

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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@

import unittest

import paddle
from paddle.base import core
from paddle.base.framework import Program

Expand Down Expand Up @@ -133,8 +134,8 @@ def test_dtype(self):
block = program_desc.block(0)
var = block.var(b'my_var')
var.set_type(core.VarDesc.VarType.LOD_TENSOR)
var.set_dtype(core.VarDesc.VarType.INT32)
self.assertEqual(core.VarDesc.VarType.INT32, var.dtype())
var.set_dtype(paddle.int32)
self.assertEqual(paddle.int32, var.dtype())
self.assertEqual(core.VarDesc.VarType.LOD_TENSOR, var.type())

def test_multiple_dtype(self):
Expand All @@ -143,9 +144,9 @@ def test_multiple_dtype(self):
var = block.var(b'my_reader')
var.set_type(core.VarDesc.VarType.READER)
src_types = [
core.VarDesc.VarType.INT32,
core.VarDesc.VarType.FP64,
core.VarDesc.VarType.FP32,
paddle.int32,
paddle.float64,
paddle.float32,
]
var.set_dtypes(src_types)
self.assertEqual(src_types, var.dtypes())
Expand Down
6 changes: 3 additions & 3 deletions test/legacy_test/test_rand_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -124,17 +124,17 @@ def test_default_dtype(self):
def test_default_fp16():
paddle.framework.set_default_dtype('float16')
out = paddle.tensor.random.rand([2, 3])
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP16)
self.assertEqual(out.dtype, paddle.float16)

def test_default_fp32():
paddle.framework.set_default_dtype('float32')
out = paddle.tensor.random.rand([2, 3])
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP32)
self.assertEqual(out.dtype, paddle.float32)

def test_default_fp64():
paddle.framework.set_default_dtype('float64')
out = paddle.tensor.random.rand([2, 3])
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP64)
self.assertEqual(out.dtype, paddle.float64)

if paddle.is_compiled_with_cuda():
paddle.set_device('gpu')
Expand Down
27 changes: 14 additions & 13 deletions test/legacy_test/test_tensor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@

import numpy as np

import paddle
from paddle import base
from paddle.base import core

Expand Down Expand Up @@ -344,7 +345,7 @@ def test_tensor_poiter(self):
var = scope.var("test_tensor")
place = core.CPUPlace()
tensor = var.get_tensor()
dtype = core.VarDesc.VarType.FP32
dtype = paddle.float32
self.assertTrue(
isinstance(tensor._mutable_data(place, dtype), numbers.Integral)
)
Expand All @@ -370,37 +371,37 @@ def test_tensor_set_fp16(self):
tensor = base.Tensor()
place = core.CPUPlace()
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.FP16)
self.assertEqual(tensor._dtype(), paddle.float16)
np.testing.assert_array_equal(np.array(tensor), array)

if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.FP16)
self.assertEqual(tensor._dtype(), paddle.float16)
np.testing.assert_array_equal(np.array(tensor), array)

place = core.CUDAPinnedPlace()
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.FP16)
self.assertEqual(tensor._dtype(), paddle.float16)
np.testing.assert_array_equal(np.array(tensor), array)

def test_tensor_set_int16(self):
array = np.random.randint(100, size=(300, 500)).astype("int16")
tensor = base.Tensor()
place = core.CPUPlace()
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.INT16)
self.assertEqual(tensor._dtype(), paddle.int16)
np.testing.assert_array_equal(np.array(tensor), array)

if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.INT16)
self.assertEqual(tensor._dtype(), paddle.int16)
np.testing.assert_array_equal(np.array(tensor), array)

place = core.CUDAPinnedPlace()
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.INT16)
self.assertEqual(tensor._dtype(), paddle.int16)
np.testing.assert_array_equal(np.array(tensor), array)

def test_tensor_set_from_array_list(self):
Expand Down Expand Up @@ -447,7 +448,7 @@ def test_tensor_set_item_complex128(self):
place = core.CPUPlace()
tensor.set(array, place)

self.assertEqual(tensor._dtype(), core.VarDesc.VarType.COMPLEX128)
self.assertEqual(tensor._dtype(), paddle.complex128)
tensor._set_complex128_element(0, 42.1 + 42.1j)
np.testing.assert_allclose(
tensor._get_complex128_element(0), 42.1 + 42.1j
Expand All @@ -456,15 +457,15 @@ def test_tensor_set_item_complex128(self):
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.COMPLEX128)
self.assertEqual(tensor._dtype(), paddle.complex128)
tensor._set_complex128_element(0, 42.1 + 42.1j)
np.testing.assert_allclose(
tensor._get_complex128_element(0), 42.1 + 42.1j
)

place = core.CUDAPinnedPlace()
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.COMPLEX128)
self.assertEqual(tensor._dtype(), paddle.complex128)
tensor._set_complex128_element(0, 42.1 + 42.1j)
np.testing.assert_allclose(
tensor._get_complex128_element(0), 42.1 + 42.1j
Expand All @@ -478,7 +479,7 @@ def test_tensor_set_item_complex64(self):
place = core.CPUPlace()
tensor.set(array, place)

self.assertEqual(tensor._dtype(), core.VarDesc.VarType.COMPLEX64)
self.assertEqual(tensor._dtype(), paddle.complex64)
tensor._set_complex64_element(0, 42.1 + 42.1j)
np.testing.assert_allclose(
np.complex64(tensor._get_complex64_element(0)),
Expand All @@ -488,7 +489,7 @@ def test_tensor_set_item_complex64(self):
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.COMPLEX64)
self.assertEqual(tensor._dtype(), paddle.complex64)
tensor._set_complex64_element(0, 42.1 + 42.1j)
np.testing.assert_allclose(
np.complex64(tensor._get_complex64_element(0)),
Expand All @@ -497,7 +498,7 @@ def test_tensor_set_item_complex64(self):

place = core.CUDAPinnedPlace()
tensor.set(array, place)
self.assertEqual(tensor._dtype(), core.VarDesc.VarType.COMPLEX64)
self.assertEqual(tensor._dtype(), paddle.complex64)
tensor._set_complex64_element(0, 42.1 + 42.1j)
np.testing.assert_allclose(
np.complex64(tensor._get_complex64_element(0)),
Expand Down
16 changes: 8 additions & 8 deletions test/legacy_test/test_uniform_random_op.py
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Original file line number Diff line number Diff line change
Expand Up @@ -229,9 +229,9 @@ def test_out_dtype():
shape=[3, 4], dtype='float64'
)
if paddle.framework.in_pir_mode():
self.assertEqual(out.dtype, base.core.DataType.FLOAT64)
self.assertEqual(out.dtype, paddle.float64)
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datatype 不能改

else:
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP64)
self.assertEqual(out.dtype, paddle.float64)

test_out_dtype()
paddle.disable_static()
Expand Down Expand Up @@ -593,9 +593,9 @@ def test_out_dtype():
shape=[3, 4], dtype='float64'
)
if paddle.framework.in_pir_mode():
self.assertEqual(out.dtype, base.core.DataType.FLOAT64)
self.assertEqual(out.dtype, paddle.float64)
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同上，datatype 不能改

else:
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP64)
self.assertEqual(out.dtype, paddle.float64)

test_out_dtype()
paddle.disable_static()
Expand All @@ -619,25 +619,25 @@ def test_default_dtype(self):
def test_default_fp16():
paddle.framework.set_default_dtype('float16')
out = paddle.tensor.random.uniform([2, 3])
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP16)
self.assertEqual(out.dtype, paddle.float16)

def test_default_fp32():
paddle.framework.set_default_dtype('float32')
out = paddle.tensor.random.uniform([2, 3])
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP32)
self.assertEqual(out.dtype, paddle.float32)

def test_default_fp64():
paddle.framework.set_default_dtype('float64')
out = paddle.tensor.random.uniform([2, 3])
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP64)
self.assertEqual(out.dtype, paddle.float64)

def test_dygraph_fp16():
if not paddle.is_compiled_with_cuda():
paddle.enable_static()
return
paddle.set_device('gpu')
out = paddle.uniform([2, 3], dtype=paddle.float16)
self.assertEqual(out.dtype, base.core.VarDesc.VarType.FP16)
self.assertEqual(out.dtype, paddle.float16)

if paddle.is_compiled_with_cuda():
paddle.set_device('gpu')
Expand Down
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