diff --git a/python/paddle/fluid/tests/unittests/test_mean_op.py b/python/paddle/fluid/tests/unittests/test_mean_op.py index 8b4deca124bab85440bc2e0e56d7724b574c8bce..f3abd1acce6fafb8d187bfbe82765f982acae010 100644 --- a/python/paddle/fluid/tests/unittests/test_mean_op.py +++ b/python/paddle/fluid/tests/unittests/test_mean_op.py @@ -25,7 +25,7 @@ from paddle.fluid import Program, program_guard class TestMeanOp(OpTest): def setUp(self): self.op_type = "mean" - self.dtype = np.float32 + self.dtype = np.float64 self.init_dtype_type() self.inputs = {'X': np.random.random((10, 10)).astype(self.dtype)} self.outputs = {'Out': np.mean(self.inputs["X"])} diff --git a/python/paddle/fluid/tests/unittests/test_mine_hard_examples_op.py b/python/paddle/fluid/tests/unittests/test_mine_hard_examples_op.py index 4e5cc91268c5df4be3de3c04a82ef65b33cf4d20..6730d5de2c2db6cf685b375134f27873c0d3c7ed 100644 --- a/python/paddle/fluid/tests/unittests/test_mine_hard_examples_op.py +++ b/python/paddle/fluid/tests/unittests/test_mine_hard_examples_op.py @@ -59,13 +59,13 @@ class TestMineHardExamplesOp(OpTest): self.sample_size = 0 self.mining_type = "max_negative" self.cls_loss = np.array([[0.1, 0.1, 0.3], - [0.3, 0.1, 0.1]]).astype('float32') + [0.3, 0.1, 0.1]]).astype('float64') self.loc_loss = np.array([[0.1, 0.2, 0.3], - [0.3, 0.4, 0.1]]).astype('float32') + [0.3, 0.4, 0.1]]).astype('float64') self.match_dis = np.array([[0.2, 0.4, 0.8], - [0.1, 0.9, 0.3]]).astype('float32') + [0.1, 0.9, 0.3]]).astype('float64') self.match_indices = np.array([[0, -1, -1], [-1, 0, -1]]).astype('int32') @@ -83,10 +83,10 @@ class TestMineHardExamplesOpHardExample(TestMineHardExamplesOp): self.sample_size = 2 self.cls_loss = np.array([[0.5, 0.1, 0.3], - [0.3, 0.1, 0.1]]).astype('float32') + [0.3, 0.1, 0.1]]).astype('float64') self.loc_loss = np.array([[0.2, 0.2, 0.3], - [0.3, 0.1, 0.2]]).astype('float32') + [0.3, 0.1, 0.2]]).astype('float64') self.match_indices = np.array([[0, -1, -1], [-1, 0, -1]]).astype('int32') diff --git a/python/paddle/fluid/tests/unittests/test_mul_op.py b/python/paddle/fluid/tests/unittests/test_mul_op.py index f44b9756a8e6bfa4e12321d1c5037ecd49026b49..3dd7634eb8ceaf5498bc3fee460d349c9c8b89ba 100644 --- a/python/paddle/fluid/tests/unittests/test_mul_op.py +++ b/python/paddle/fluid/tests/unittests/test_mul_op.py @@ -25,7 +25,7 @@ from paddle.fluid import Program, program_guard class TestMulOp(OpTest): def setUp(self): self.op_type = "mul" - self.dtype = np.float32 + self.dtype = np.float64 self.init_dtype_type() self.inputs = { 'X': np.random.random((2, 5)).astype(self.dtype), @@ -69,7 +69,7 @@ class TestMulOpError(unittest.TestCase): class TestMulOp2(OpTest): def setUp(self): self.op_type = "mul" - self.dtype = np.float32 + self.dtype = np.float64 self.init_dtype_type() self.inputs = { 'X': np.random.random((3, 4, 4, 3)).astype(self.dtype), diff --git a/python/paddle/fluid/tests/unittests/test_multiplex_op.py b/python/paddle/fluid/tests/unittests/test_multiplex_op.py index 0a0540c908ac2cf9c64d0f785278e4f71d72dd37..9b42b705efe643ed10041a92bcf0447ed5f9a381 100644 --- a/python/paddle/fluid/tests/unittests/test_multiplex_op.py +++ b/python/paddle/fluid/tests/unittests/test_multiplex_op.py @@ -26,10 +26,10 @@ class TestMultiplexOp(OpTest): index = np.arange(0, rows).astype('int32') np.random.shuffle(index) index = np.reshape(index, (rows, 1)) - ins1 = np.random.random((rows, 25)).astype("float32") - ins2 = np.random.random((rows, 25)).astype("float32") - ins3 = np.random.random((rows, 25)).astype("float32") - ins4 = np.random.random((rows, 25)).astype("float32") + ins1 = np.random.random((rows, 25)).astype("float64") + ins2 = np.random.random((rows, 25)).astype("float64") + ins3 = np.random.random((rows, 25)).astype("float64") + ins4 = np.random.random((rows, 25)).astype("float64") self.inputs = { 'Ids': index, 'X': [('x1', ins1), ('x2', ins2), ('x3', ins3), ('x4', ins4)] diff --git a/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py b/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py index abae7e3a8f05fef8a20fdfc097e5a6b237f8a627..c6e05edfaaec216627225cd85b472ef5bda4dee7 100755 --- a/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py +++ b/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py @@ -79,7 +79,7 @@ class TestNearestInterpOp(OpTest): self.data_layout = 'NCHW' self.init_test_case() self.op_type = "nearest_interp" - input_np = np.random.random(self.input_shape).astype("float32") + input_np = np.random.random(self.input_shape).astype("float64") if self.data_layout == "NCHW": in_h = self.input_shape[2] @@ -340,11 +340,11 @@ class TestNearestInterpOp_attr_tensor(OpTest): 'align_corners': self.align_corners, } - input_np = np.random.random(self.input_shape).astype("float32") + input_np = np.random.random(self.input_shape).astype("float64") self.inputs = {'X': input_np} if self.scale_by_1Dtensor: - self.inputs['Scale'] = np.array([self.scale]).astype("float32") + self.inputs['Scale'] = np.array([self.scale]).astype("float64") elif self.scale > 0: out_h = int(self.input_shape[2] * self.scale) out_w = int(self.input_shape[3] * self.scale) diff --git a/python/paddle/fluid/tests/unittests/test_pixel_shuffle.py b/python/paddle/fluid/tests/unittests/test_pixel_shuffle.py index cc3ae2b3b9d4c40a7ee992c04cac79f518acac6d..0bcb4be3b7fb9380932cf137ac8e4939dcd77288 100644 --- a/python/paddle/fluid/tests/unittests/test_pixel_shuffle.py +++ b/python/paddle/fluid/tests/unittests/test_pixel_shuffle.py @@ -25,7 +25,7 @@ class TestPixelShuffle(OpTest): n, c, h, w = 2, 9, 4, 4 up_factor = 3 shape = [n, c, h, w] - x = np.random.random(shape).astype("float32") + x = np.random.random(shape).astype("float64") new_shape = (n, c // (up_factor * up_factor), up_factor, up_factor, h, w) # reshape to (num,output_channel,upscale_factor,upscale_factor,h,w) diff --git a/python/paddle/fluid/tests/unittests/test_pool2d_op.py b/python/paddle/fluid/tests/unittests/test_pool2d_op.py index c9b26307c897cc91cfb8380eede161844e34f037..a28462214f29f2859a856c5910ce47fc97b5417d 100644 --- a/python/paddle/fluid/tests/unittests/test_pool2d_op.py +++ b/python/paddle/fluid/tests/unittests/test_pool2d_op.py @@ -39,7 +39,7 @@ def max_pool2D_forward_naive(x, ceil_mode=False, exclusive=True, adaptive=False, - data_type=np.float32): + data_type=np.float64): N, C, H, W = x.shape if global_pool == 1: ksize = [H, W] @@ -79,7 +79,7 @@ def avg_pool2D_forward_naive(x, ceil_mode=False, exclusive=True, adaptive=False, - data_type=np.float32): + data_type=np.float64): N, C, H, W = x.shape if global_pool == 1: ksize = [H, W] @@ -320,7 +320,7 @@ class TestPool2D_Op(OpTest): self.use_cudnn = False def init_data_type(self): - self.dtype = np.float32 + self.dtype = np.float64 def init_pool_type(self): self.pool_type = "avg" diff --git a/python/paddle/fluid/tests/unittests/test_pool3d_op.py b/python/paddle/fluid/tests/unittests/test_pool3d_op.py index 609cc990891253195df36f0b863641cca3e15a8c..b7e20df6907d8d40be548f20326d4e6b7476628a 100644 --- a/python/paddle/fluid/tests/unittests/test_pool3d_op.py +++ b/python/paddle/fluid/tests/unittests/test_pool3d_op.py @@ -209,7 +209,7 @@ class TestPool3d_Op(OpTest): def setUp(self): self.op_type = "pool3d" self.init_kernel_type() - self.dtype = np.float32 + self.dtype = np.float64 self.init_test_case() self.padding_algorithm = "EXPLICIT" self.init_paddings() diff --git a/python/paddle/fluid/tests/unittests/test_pool_max_op.py b/python/paddle/fluid/tests/unittests/test_pool_max_op.py index 6575c408eeaa43d4f7caf257b2ebd77a942aecda..8905c900dc97ddb8bf7db59857a7261e16338219 100644 --- a/python/paddle/fluid/tests/unittests/test_pool_max_op.py +++ b/python/paddle/fluid/tests/unittests/test_pool_max_op.py @@ -140,11 +140,11 @@ class TestMaxPoolWithIndex_Op(OpTest): self.init_global() self.init_adaptive() - input = np.random.random(self.shape).astype("float32") + input = np.random.random(self.shape).astype("float64") output, mask = self.pool_forward_naive(input, self.ksize, self.strides, self.paddings, self.global_pool, self.adaptive) - output = output.astype("float32") + output = output.astype("float64") mask = mask.astype("int32") self.attrs = { diff --git a/python/paddle/fluid/tests/unittests/test_psroi_pool_op.py b/python/paddle/fluid/tests/unittests/test_psroi_pool_op.py index abe014a38c6ecfd008b0f1028536bfb49b628fb4..066bcf48612c592ab8f8bc773584821f467e25ce 100644 --- a/python/paddle/fluid/tests/unittests/test_psroi_pool_op.py +++ b/python/paddle/fluid/tests/unittests/test_psroi_pool_op.py @@ -47,7 +47,7 @@ class TestPSROIPoolOp(OpTest): self.pooled_height = 2 self.pooled_width = 2 - self.x = np.random.random(self.x_dim).astype('float32') + self.x = np.random.random(self.x_dim).astype('float64') def make_rois(self): rois = [] @@ -67,7 +67,7 @@ class TestPSROIPoolOp(OpTest): roi = [bno, x1, y1, x2, y2] rois.append(roi) self.rois_num = len(rois) - self.rois = np.array(rois).astype('float32') + self.rois = np.array(rois).astype('float64') def calc_psroi_pool(self): output_shape = (self.rois_num, self.output_channels, self.pooled_height, @@ -117,7 +117,7 @@ class TestPSROIPoolOp(OpTest): bin_area = (hend - hstart) * (wend - wstart) out_data[i, c, ph, pw] = 0. if is_empty else ( out_sum / float(bin_area)) - self.outs = out_data.astype('float32') + self.outs = out_data.astype('float64') def setUp(self): self.op_type = 'psroi_pool' diff --git a/python/paddle/fluid/tests/unittests/test_reverse_op.py b/python/paddle/fluid/tests/unittests/test_reverse_op.py index c9579ac647dd14a4eedb98d1201c6504ecf970ef..09252f47d21063b3bec9ac5d033b2f170d63efe2 100644 --- a/python/paddle/fluid/tests/unittests/test_reverse_op.py +++ b/python/paddle/fluid/tests/unittests/test_reverse_op.py @@ -21,7 +21,7 @@ from op_test import OpTest class TestReverseOp(OpTest): def initTestCase(self): - self.x = np.random.random((3, 40)).astype('float32') + self.x = np.random.random((3, 40)).astype('float64') self.axis = [0] def setUp(self): @@ -43,25 +43,25 @@ class TestReverseOp(OpTest): class TestCase0(TestReverseOp): def initTestCase(self): - self.x = np.random.random((3, 40)).astype('float32') + self.x = np.random.random((3, 40)).astype('float64') self.axis = [1] class TestCase1(TestReverseOp): def initTestCase(self): - self.x = np.random.random((3, 40)).astype('float32') + self.x = np.random.random((3, 40)).astype('float64') self.axis = [0, 1] class TestCase2(TestReverseOp): def initTestCase(self): - self.x = np.random.random((3, 4, 10)).astype('float32') + self.x = np.random.random((3, 4, 10)).astype('float64') self.axis = [0, 2] class TestCase3(TestReverseOp): def initTestCase(self): - self.x = np.random.random((3, 4, 10)).astype('float32') + self.x = np.random.random((3, 4, 10)).astype('float64') self.axis = [1, 2] diff --git a/python/paddle/fluid/tests/unittests/test_roi_align_op.py b/python/paddle/fluid/tests/unittests/test_roi_align_op.py index aad2eaed94a356d06afb7cd461eecefa2de98d8c..c8d5e4c00597a1f6c0c6c313a17dbdbb1535fbe7 100644 --- a/python/paddle/fluid/tests/unittests/test_roi_align_op.py +++ b/python/paddle/fluid/tests/unittests/test_roi_align_op.py @@ -50,16 +50,16 @@ class TestROIAlignOp(OpTest): self.pooled_width = 2 self.sampling_ratio = -1 - self.x = np.random.random(self.x_dim).astype('float32') + self.x = np.random.random(self.x_dim).astype('float64') def pre_calc(self, x_i, roi_xmin, roi_ymin, roi_bin_grid_h, roi_bin_grid_w, bin_size_h, bin_size_w): count = roi_bin_grid_h * roi_bin_grid_w bilinear_pos = np.zeros( [self.channels, self.pooled_height, self.pooled_width, count, 4], - np.float32) + np.float64) bilinear_w = np.zeros( - [self.pooled_height, self.pooled_width, count, 4], np.float32) + [self.pooled_height, self.pooled_width, count, 4], np.float64) for ph in range(self.pooled_width): for pw in range(self.pooled_height): c = 0 @@ -109,7 +109,7 @@ class TestROIAlignOp(OpTest): def calc_roi_align(self): self.out_data = np.zeros( (self.rois_num, self.channels, self.pooled_height, - self.pooled_width)).astype('float32') + self.pooled_width)).astype('float64') for i in range(self.rois_num): roi = self.rois[i] @@ -157,7 +157,7 @@ class TestROIAlignOp(OpTest): roi = [bno, x1, y1, x2, y2] rois.append(roi) self.rois_num = len(rois) - self.rois = np.array(rois).astype("float32") + self.rois = np.array(rois).astype("float64") def setUp(self): self.op_type = "roi_align" diff --git a/python/paddle/fluid/tests/unittests/test_roi_pool_op.py b/python/paddle/fluid/tests/unittests/test_roi_pool_op.py index ad4cd2e803bfae4c3fbc04503331b9a786b25d17..363f465b9d4645e6bcf33c6ba85d6ef60e104afa 100644 --- a/python/paddle/fluid/tests/unittests/test_roi_pool_op.py +++ b/python/paddle/fluid/tests/unittests/test_roi_pool_op.py @@ -51,7 +51,7 @@ class TestROIPoolOp(OpTest): self.pooled_height = 2 self.pooled_width = 2 - self.x = np.random.random(self.x_dim).astype('float32') + self.x = np.random.random(self.x_dim).astype('float64') def calc_roi_pool(self): out_data = np.zeros((self.rois_num, self.channels, self.pooled_height, @@ -103,7 +103,7 @@ class TestROIPoolOp(OpTest): argmax_data[i, c, ph, pw] = h * self.width + w - self.outs = out_data.astype('float32') + self.outs = out_data.astype('float64') self.argmaxes = argmax_data.astype('int64') def make_rois(self): @@ -125,7 +125,7 @@ class TestROIPoolOp(OpTest): roi = [bno, x1, y1, x2, y2] rois.append(roi) self.rois_num = len(rois) - self.rois = np.array(rois).astype("float32") + self.rois = np.array(rois).astype("float64") def setUp(self): self.op_type = "roi_pool" diff --git a/python/paddle/fluid/tests/unittests/test_scatter_nd_op.py b/python/paddle/fluid/tests/unittests/test_scatter_nd_op.py index 5772ba86fbd33b155333a436fd0cbe760546c7b6..c8f4ed24e5cbc951f8ff54c51a31f3768a078112 100644 --- a/python/paddle/fluid/tests/unittests/test_scatter_nd_op.py +++ b/python/paddle/fluid/tests/unittests/test_scatter_nd_op.py @@ -66,9 +66,9 @@ class TestScatterNdAddSimpleOp(OpTest): def setUp(self): self.op_type = "scatter_nd_add" #ref_np = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8]).astype("float32") - ref_np = np.random.random([100]).astype("float32") + ref_np = np.random.random([100]).astype("float64") index_np = np.random.randint(0, 100, [100, 1]).astype("int32") - updates_np = np.random.random([100]).astype("float32") + updates_np = np.random.random([100]).astype("float64") expect_np = numpy_scatter_nd_add(ref_np.copy(), index_np, updates_np) #expect_np = [ 0. 23. 12. 14. 4. 17. 6. 7. 8.] @@ -89,10 +89,10 @@ class TestScatterNdAddWithEmptyIndex(OpTest): def setUp(self): self.op_type = "scatter_nd_add" - ref_np = np.array([[65, 17], [-14, -25]]).astype("float32") + ref_np = np.array([[65, 17], [-14, -25]]).astype("float64") index_np = np.array([[], []]).astype("int32") updates_np = np.array([[[-1, -2], [1, 2]], - [[3, 4], [-3, -4]]]).astype("float32") + [[3, 4], [-3, -4]]]).astype("float64") expect_np = numpy_scatter_nd_add(ref_np.copy(), index_np, updates_np) #expect_np = [[67, 19], [-16, -27]] @@ -115,12 +115,12 @@ class TestScatterNdAddWithHighRankSame(OpTest): def setUp(self): self.op_type = "scatter_nd_add" shape = (10, 9, 8, 1, 15) - ref_np = np.random.rand(*shape).astype("float32") + ref_np = np.random.rand(*shape).astype("float64") index_np = np.vstack( [np.random.randint( 0, s, size=150) for s in shape]).T.astype("int32") update_shape = judge_update_shape(ref_np, index_np) - updates_np = np.random.rand(*update_shape).astype("float32") + updates_np = np.random.rand(*update_shape).astype("float64") expect_np = numpy_scatter_nd_add(ref_np.copy(), index_np, updates_np) self.inputs = {'X': ref_np, 'Index': index_np, 'Updates': updates_np} diff --git a/python/paddle/fluid/tests/unittests/test_selu_op.py b/python/paddle/fluid/tests/unittests/test_selu_op.py index bcba0511da747990b1e99026048c7ce95140a422..79456b7de43894340dd09a1a5a09547601d61926 100644 --- a/python/paddle/fluid/tests/unittests/test_selu_op.py +++ b/python/paddle/fluid/tests/unittests/test_selu_op.py @@ -24,7 +24,7 @@ class SeluTest(OpTest): def setUp(self): self.op_type = "selu" self.x_shape = [3, 5, 5, 10] - self.dtype = np.float32 + self.dtype = np.float64 self.init_x_shape() self.init_dtype()