def test_check_output(self):
places = []
if core.is_compiled_with_cuda() and core.op_support_gpu("batch_norm"):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
places.append(place)
for place in places:
for data_format in ["NCHW", "NHWC"]:
self.check_with_place(place, data_format, self.dtype,
[2, 3, 4, 5])
self.check_with_place(place, data_format, self.dtype, [2, 3])
def test_check_grad_normal(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_grad_with_place(place, ['Input'],
'Out',
max_relative_error=0.006)
def test_w_is_selected_rows(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
for inplace in [True, False]:
self.check_with_place(place, inplace)
def test_check_grad(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_grad(['x0'], 'Out', max_relative_error=0.15)
def test_check_output(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_output_with_place(place, atol=2e-2)
def test_check_grad_no_input(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place) and grad_check:
self.check_grad_with_place(place, ['Filter'],
'Output',
no_grad_set=set(['Input']))
def test_check_grad_ignore_uv(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_grad_with_place(place, ['X'], 'Out')
def set_dtypes(self):
self.dtypes = ['float64']
if core.is_float16_supported(self.place):
self.dtypes.append('float16')
def test_check_grad(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_grad_with_place(place, ["X"],
"Out",
max_relative_error=0.05)
def test_check_grad(self):
place = core.CUDAPlace(0)
support_fp16 = core.is_float16_supported(place)
if support_fp16 and grad_check:
self.check_grad_with_place(
place, ['X'], 'Out', max_relative_error=grad_atol)
def test_check_output(self):
place = core.CUDAPlace(0)
support_fp16 = core.is_float16_supported(place)
if support_fp16:
self.check_output_with_place(place, atol=atol)
def test_checkout_grad(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_grad_with_place(
place, ['X'], 'Out', max_relative_error=0.8)
def test_check_output(self):
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_output_with_place(place, atol=1e-3)
def test_check_output(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_output_with_place(place, atol=0.002, check_eager=True)
def test_check_output(self):
paddle.enable_static()
if core.is_compiled_with_cuda():
place = fluid.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_output_with_place(place)
def test_check_output(self):
if core.is_compiled_with_cuda():
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_output_with_place(place, atol=1e-3)
def test_scale_selected_rows_inplace(self):
place = core.CUDAPlace(0)
if core.is_float16_supported(place):
self.check_with_place(place, 'in', 'in')
def test_check_output(self):
if self.dtype == np.float16 and not core.is_float16_supported(
self.place):
return
self.check_output_with_place(self.place, atol=self.atol)
