| /third_party/mindspore/tests/st/ops/gpu/ |
| D | test_batchnorm_fold_op.py | 72 assert np.allclose(batch_mean.asnumpy(), expect1, rtol=1.e-7, atol=1.e-5)
73 assert np.allclose(batch_var.asnumpy(), expect2, rtol=1.e-7, atol=1.e-5)
74 assert np.allclose(ms_mean.asnumpy(), expect3, rtol=1.e-7, atol=1.e-5)
75 assert np.allclose(ms_var.asnumpy(), expect4, rtol=1.e-7, atol=1.e-5)
76 assert np.allclose(delay_mean.asnumpy(), expect5, rtol=1.e-7, atol=1.e-5)
77 assert np.allclose(delay_std.asnumpy(), expect6, rtol=1.e-7, atol=1.e-5)
96 assert np.allclose(batch_mean.asnumpy(), expect1, rtol=1.e-7, atol=1.e-5)
97 assert np.allclose(batch_var.asnumpy(), expect2, rtol=1.e-7, atol=1.e-5)
98 assert np.allclose(ms_mean.asnumpy(), expect3, rtol=1.e-7, atol=1.e-5)
99 assert np.allclose(delay_mean.asnumpy(), expect5, rtol=1.e-7, atol=1.e-5)
[all …]
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| D | test_layer_norm_op.py | 91 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-6)
92 assert np.allclose(mean_ms.asnumpy(), mean_np, rtol=1e-6, atol=1e-6)
93 assert np.allclose(var_ms.asnumpy(), var_np, rtol=1e-6, atol=1e-6)
114 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-6)
115 assert np.allclose(mean_ms.asnumpy(), mean_np, rtol=1e-6, atol=1e-6)
116 assert np.allclose(var_ms.asnumpy(), var_np, rtol=1e-6, atol=1e-6)
137 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-6)
138 assert np.allclose(mean_ms.asnumpy(), mean_np, rtol=1e-6, atol=1e-6)
139 assert np.allclose(var_ms.asnumpy(), var_np, rtol=1e-6, atol=1e-6)
159 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-6)
[all …]
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| D | test_layer_norm_grad_op.py | 87 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-6, atol=1e-6)
88 assert np.allclose(dg_ms.asnumpy(), dg_np, rtol=1e-6, atol=1e-3)
89 assert np.allclose(db_ms.asnumpy(), db_np, rtol=1e-6, atol=1e-3)
114 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-6, atol=1e-6)
115 assert np.allclose(dg_ms.asnumpy(), dg_np, rtol=1e-6, atol=1e-3)
116 assert np.allclose(db_ms.asnumpy(), db_np, rtol=1e-6, atol=1e-3)
141 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-6, atol=1e-6)
142 assert np.allclose(dg_ms.asnumpy(), dg_np, rtol=1e-6, atol=1e-3)
143 assert np.allclose(db_ms.asnumpy(), db_np, rtol=1e-6, atol=1e-3)
167 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-6, atol=1e-6)
[all …]
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| D | test_layer_norm_grad_grad_op.py | 144 assert np.allclose(d_x_ms.asnumpy(), d_x_np, rtol=3e-3, atol=3e-3)
145 assert np.allclose(d_dy_ms.asnumpy(), d_dy_np, rtol=3e-3, atol=3e-3)
146 assert np.allclose(d_gamma_ms.asnumpy(), d_gamma_np, rtol=3e-3, atol=3e-3)
182 assert np.allclose(d_x_ms.asnumpy(), d_x_np, rtol=3e-3, atol=3e-3)
183 assert np.allclose(d_dy_ms.asnumpy(), d_dy_np, rtol=3e-3, atol=3e-3)
184 assert np.allclose(d_gamma_ms.asnumpy(), d_gamma_np, rtol=3e-3, atol=3e-3)
220 assert np.allclose(d_x_ms.asnumpy(), d_x_np, rtol=3e-3, atol=3e-3)
221 assert np.allclose(d_dy_ms.asnumpy(), d_dy_np, rtol=3e-3, atol=3e-3)
222 assert np.allclose(d_gamma_ms.asnumpy(), d_gamma_np, rtol=3e-3, atol=3e-3)
258 assert np.allclose(d_x_ms.asnumpy(), d_x_np, rtol=3e-3, atol=3e-3)
[all …]
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| D | test_tensor_scatter_add.py | 55 np.testing.assert_allclose(out, expected, rtol=1e-6)
63 np.testing.assert_allclose(out, expected, rtol=1e-6)
71 np.testing.assert_allclose(out, expected, rtol=1e-6)
78 np.testing.assert_allclose(out, expected, rtol=1e-6)
85 np.testing.assert_allclose(out, expected, rtol=1e-6)
106 np.testing.assert_allclose(out, expected, rtol=1e-6)
126 np.testing.assert_allclose(out, expected, rtol=1e-6)
146 np.testing.assert_allclose(out, expected, rtol=1e-6)
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| D | test_tensor_scatter_update.py | 50 np.testing.assert_allclose(out, expected, rtol=1e-6)
64 np.testing.assert_allclose(out, expected, rtol=1e-6)
84 np.testing.assert_allclose(out, expected, rtol=1e-6)
104 np.testing.assert_allclose(out, expected, rtol=1e-6)
124 np.testing.assert_allclose(out, expected, rtol=1e-6)
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| D | test_tensor_scatter_min.py | 45 np.testing.assert_allclose(out, expected, rtol=1e-6)
54 np.testing.assert_allclose(out, expected, rtol=1e-6)
66 np.testing.assert_allclose(out, expected, rtol=1e-6)
75 np.testing.assert_allclose(out, expected, rtol=1e-6)
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| D | test_tensor_scatter_max.py | 45 np.testing.assert_allclose(out, expected, rtol=1e-6)
54 np.testing.assert_allclose(out, expected, rtol=1e-6)
66 np.testing.assert_allclose(out, expected, rtol=1e-6)
75 np.testing.assert_allclose(out, expected, rtol=1e-6)
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| /third_party/mindspore/tests/mindspore_test_framework/utils/ |
| D | verifier_util.py | 21 def count_unequal_element(expect, result, rtol, atol): argument
37 count = np.count_nonzero(np.less_equal(error, atol + np.abs(result) * rtol))
38 if ((total_count - count) / total_count) >= rtol:
47 def tolerance_assert(expect, result, rtol, atol): argument
59 if not np.allclose(expect, result, rtol, atol):
60 count_unequal_element(expect, result, rtol, atol)
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| /third_party/mindspore/mindspore/lite/test/ut/src/runtime/kernel/opencl/ |
| D | common.h | 44 void CompareOutput(void *output, void *expect, size_t elem_num, T atol, float rtol = 1e-9, bool pri…
58 auto tolerance = static_cast<float>(atol + rtol * std::fabs(expect_data[i]));
68 printf("Not equal to tolerance atol=%.0e, rtol=%.0e\n", atol, rtol);
76 void CompareOutput(Tensor *output_tensor, const std::string &file_path, float atol, float rtol = 1e…
79 CompareOutput<T>(output_tensor->data(), expect_data, output_tensor->ElementsNum(), atol, rtol);
97 … OpParameter *op_parameter, bool fp16_enable = false, float atol = 1e-9, float rtol = 1e-9,
101 … OpParameter *op_parameter, bool fp16_enable = false, float atol = 1e-9, float rtol = 1e-9,
105 … OpParameter *op_parameter, bool fp16_enable = false, float atol = 1e-9, float rtol = 1e-9,
109 … OpParameter *op_parameter, bool fp16_enable = false, float atol = 1e-9, float rtol = 1e-9,
112 … OpParameter *op_parameter, bool fp16_enable = false, float atol = 1e-9, float rtol = 1e-9,
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| /third_party/mindspore/tests/st/ops/cpu/ |
| D | test_layer_norm_op.py | 89 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-4)
90 assert np.allclose(mean_ms.asnumpy(), mean_np, rtol=1e-6, atol=1e-4)
91 assert np.allclose(var_ms.asnumpy(), var_np, rtol=1e-6, atol=1e-4)
111 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-4)
112 assert np.allclose(mean_ms.asnumpy(), mean_np, rtol=1e-6, atol=1e-4)
113 assert np.allclose(var_ms.asnumpy(), var_np, rtol=1e-6, atol=1e-4)
133 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-4)
134 assert np.allclose(mean_ms.asnumpy(), mean_np, rtol=1e-6, atol=1e-4)
135 assert np.allclose(var_ms.asnumpy(), var_np, rtol=1e-6, atol=1e-4)
154 assert np.allclose(y_ms.asnumpy(), y_np, rtol=1e-6, atol=1e-4)
[all …]
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| D | test_layer_norm_grad_op.py | 87 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-4, atol=1e-4)
88 assert np.allclose(dg_ms.asnumpy(), dg_np, rtol=1e-4, atol=1e-3)
89 assert np.allclose(db_ms.asnumpy(), db_np, rtol=1e-4, atol=1e-3)
114 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-4, atol=1e-4)
115 assert np.allclose(dg_ms.asnumpy(), dg_np, rtol=1e-4, atol=1e-3)
116 assert np.allclose(db_ms.asnumpy(), db_np, rtol=1e-4, atol=1e-3)
141 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-4, atol=1e-4)
142 assert np.allclose(dg_ms.asnumpy(), dg_np, rtol=1e-4, atol=1e-3)
143 assert np.allclose(db_ms.asnumpy(), db_np, rtol=1e-4, atol=1e-3)
167 assert np.allclose(dx_ms.asnumpy(), dx_np, rtol=1e-4, atol=1e-4)
[all …]
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| D | test_squeeze_op.py | 43 assert np.allclose(result.asnumpy(), expect, rtol=1.e-4,
55 assert np.allclose(result.asnumpy(), expect, rtol=1.e-4,
67 assert np.allclose(result.asnumpy(), expect, rtol=1.e-4,
80 assert np.allclose(result.asnumpy(), expect, rtol=1.e-4,
93 assert np.allclose(result.asnumpy(), expect, rtol=1.e-4,
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| D | test_maximum_grad.py | 47 assert np.allclose(result[0].asnumpy(), dx, rtol=1.e-4, atol=1.e-8, equal_nan=True)
48 assert np.allclose(result[1].asnumpy(), dy, rtol=1.e-4, atol=1.e-8, equal_nan=True)
169 assert np.allclose(result[0].asnumpy(), dx, rtol=1.e-4, atol=1.e-8, equal_nan=True)
170 assert np.allclose(result[1].asnumpy(), dy, rtol=1.e-4, atol=1.e-8, equal_nan=True)
|
| /third_party/mindspore/tests/ut/python/dataset/ |
| D | test_time_stretch.py | 37 def count_unequal_element(data_expected, data_me, rtol, atol): argument
41 greater = np.greater(error, atol + np.abs(data_expected) * rtol)
43 …assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".f…
47 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
49 assert np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan)
50 elif not np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan):
51 count_unequal_element(data_expected, data_me, rtol, atol)
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| D | test_amplitude_to_db.py | 37 def count_unequal_element(data_expected, data_me, rtol, atol): argument
42 greater = np.greater(error, atol + np.abs(data_expected) * rtol)
44 …assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".f…
48 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
51 assert np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan)
52 elif not np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan):
53 count_unequal_element(data_expected, data_me, rtol, atol)
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| D | test_frequency_masking.py | 37 def count_unequal_element(data_expected, data_me, rtol, atol): argument
42 greater = np.greater(error, atol + np.abs(data_expected) * rtol)
44 …assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".f…
48 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
51 assert np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan)
52 elif not np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan):
53 count_unequal_element(data_expected, data_me, rtol, atol)
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| D | test_time_masking.py | 37 def count_unequal_element(data_expected, data_me, rtol, atol): argument
42 greater = np.greater(error, atol + np.abs(data_expected) * rtol)
44 …assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".f…
48 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
51 assert np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan)
52 elif not np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan):
53 count_unequal_element(data_expected, data_me, rtol, atol)
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| D | test_vol.py | 27 def count_unequal_element(data_expected, data_me, rtol, atol): argument
32 greater = np.greater(error, atol + np.abs(data_expected) * rtol)
34 assert (loss_count / total_count) < rtol, \
39 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
42 assert np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan)
43 elif not np.allclose(data_me, data_expected, rtol, atol, equal_nan=equal_nan):
44 count_unequal_element(data_expected, data_me, rtol, atol)
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| D | test_rgb_hsv.py | 50 assert_allclose(hsv_base.flatten(), hsv_de.flatten(), rtol=1e-5, atol=0)
61 assert_allclose(rgb_base.flatten(), rgb_de.flatten(), rtol=1e-5, atol=0)
75 assert_allclose(hsv_base.flatten(), hsv_de.flatten(), rtol=1e-5, atol=0)
86 assert_allclose(rgb_base.flatten(), rgb_de.flatten(), rtol=1e-5, atol=0)
99 assert_allclose(hsv_base.flatten(), hsv_de.flatten(), rtol=1e-5, atol=0)
109 assert_allclose(rgb_base.flatten(), rgb_de.flatten(), rtol=1e-5, atol=0)
122 assert_allclose(hsv_base_imgs.flatten(), hsv_de.flatten(), rtol=1e-5, atol=0)
131 assert_allclose(rgb_base.flatten(), rgb_de.flatten(), rtol=1e-5, atol=0)
162 assert_allclose(ori_img.flatten(), cvt_img.flatten(), rtol=1e-5, atol=0)
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| D | test_rgb_bgr.py | 49 rtol=1e-5,
65 rtol=1e-5,
78 rtol=1e-5,
117 rtol=1e-5,
159 rtol=1e-5,
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| /third_party/mindspore/tests/st/mix_precision/ |
| D | utils.py | 26 def _count_unequal_element(data_expected, data_me, rtol, atol): argument
30 greater = np.greater(error, atol + np.abs(data_me) * rtol)
32 assert (loss_count / total_count) < rtol, \
37 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
39 assert np.allclose(data_expected, data_me, rtol, atol, equal_nan=equal_nan)
40 elif not np.allclose(data_expected, data_me, rtol, atol, equal_nan=equal_nan):
41 _count_unequal_element(data_expected, data_me, rtol, atol)
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| /third_party/mindspore/tests/st/auto_monad/ |
| D | test_auto_monad_expression.py | 40 def _count_unequal_element(data_expected, data_me, rtol, atol): argument
44 greater = np.greater(error, atol + np.abs(data_me) * rtol)
46 assert (loss_count / total_count) < rtol, \
51 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
53 assert np.allclose(data_expected, data_me, rtol, atol, equal_nan=equal_nan)
54 elif not np.allclose(data_expected, data_me, rtol, atol, equal_nan=equal_nan):
55 _count_unequal_element(data_expected, data_me, rtol, atol)
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| /third_party/mindspore/tests/st/pynative/ |
| D | test_pynative_mixed_precision_cells.py | 70 def _count_unequal_element(data_expected, data_me, rtol, atol): argument
74 greater = np.greater(error, atol + np.abs(data_me)*rtol)
76 assert (loss_count/total_count) < rtol, \
80 def allclose_nparray(data_expected, data_me, rtol, atol, equal_nan=True): argument
82 assert np.allclose(data_expected, data_me, rtol, atol, equal_nan=equal_nan)
83 elif not np.allclose(data_expected, data_me, rtol, atol, equal_nan=equal_nan):
84 _count_unequal_element(data_expected, data_me, rtol, atol)
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| /third_party/mindspore/tests/st/ops/graph_kernel/ |
| D | test_bias_add_grad.py | 46 rtol = 1.e-4
49 rtol = 1.e-3
51 assert np.allclose(expect.asnumpy(), output.asnumpy(), rtol, atol, equal_nan=True)
|