/third_party/mindspore/mindspore/lite/test/ut/src/runtime/kernel/arm/int8/ |
D | conv_1x1_int8_tests.cc | 127 kernel::Convolution1x1Int8CPUKernel *conv1x1 = in TEST_F() local 130 conv1x1->Init(); in TEST_F() 131 conv1x1->Run(); in TEST_F() 134 delete conv1x1; in TEST_F() 196 kernel::Convolution1x1Int8CPUKernel *conv1x1 = in TEST_F() local 199 conv1x1->Init(); in TEST_F() 200 conv1x1->Run(); in TEST_F() 203 delete conv1x1; in TEST_F() 273 auto *conv1x1 = in TEST_F() local 276 conv1x1->Init(); in TEST_F() [all …]
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/third_party/mindspore/tests/perf_test/ |
D | resnet_example.py | 30 def conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='pad'): function 50 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 56 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 62 self.conv_down_sample = conv1x1(in_channels, out_channels,
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/third_party/mindspore/tests/st/tbe_networks/ |
D | resnet.py | 39 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 87 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 93 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 130 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 136 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 142 self.conv_down_sample = conv1x1(in_channels, out_channels, stride=stride, padding=0)
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/third_party/mindspore/tests/ut/python/transform/ |
D | test_transform.py | 40 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 62 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 68 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 75 self.conv_down_sample = conv1x1(in_channels, out_channels,
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/third_party/mindspore/tests/st/networks/models/ |
D | resnetv1_5.py | 45 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 102 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 108 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 145 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 151 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 157 self.conv_down_sample = conv1x1(in_channels, out_channels, stride=stride, padding=0)
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/third_party/mindspore/tests/st/mem_reuse/ |
D | resnet.py | 50 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 106 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 112 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 149 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 155 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 161 self.conv_down_sample = conv1x1(in_channels, out_channels, stride=stride, padding=0)
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/third_party/mindspore/tests/st/export_and_load/ |
D | test_resnet_air.py | 63 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 121 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 127 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 164 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 170 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 176 self.conv_down_sample = conv1x1(
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/third_party/mindspore/tests/ut/python/model/ |
D | res18_example.py | 33 def conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='pad'): function 53 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 59 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 65 self.conv_down_sample = conv1x1(in_channels, out_channels,
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/third_party/mindspore/tests/ut/python/exec/ |
D | resnet_example.py | 33 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 67 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 73 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 79 self.conv_down_sample = conv1x1(in_channels, out_channels,
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/third_party/mindspore/tests/st/networks/ |
D | test_gpu_resnet.py | 69 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 127 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 133 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 170 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 176 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 182 self.conv_down_sample = conv1x1(
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/third_party/mindspore/tests/ut/python/parallel/ |
D | test_operator_model_parallel.py | 115 def conv1x1(in_channels, out_channels, stride=1): function 191 self.conv1 = conv1x1(in_channels, out_chls, stride=1) 197 self.conv3 = conv1x1(out_chls, out_channels, stride=1) 236 self.conv1 = conv1x1(in_channels, out_chls, stride=1) 242 self.conv3 = conv1x1(out_chls, out_channels, stride=1) 250 self.conv_down_sample = conv1x1(in_channels, out_channels, stride=stride)
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/third_party/mindspore/tests/st/pynative/ |
D | test_pynative_resnet50_gpu.py | 62 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 110 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 116 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 153 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 159 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 165 self.conv_down_sample = conv1x1(in_channels, out_channels, stride=stride, padding=0)
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D | test_pynative_resnet50_ascend.py | 100 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 148 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 154 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 191 self.conv1 = conv1x1(in_channels, out_chls, stride=stride, padding=0) 197 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 203 self.conv_down_sample = conv1x1(in_channels, out_channels, stride=stride, padding=0)
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/third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp32/ |
D | convolution_1x1_fp32.cc | 166 auto conv1x1 = reinterpret_cast<Convolution1x1CPUKernel *>(cdata); in Convolution1x1Run() local 167 auto error_code = conv1x1->DoConv1x1(task_id); in Convolution1x1Run() 213 auto conv1x1 = reinterpret_cast<Convolution1x1CPUKernel *>(cdata); in Convolution1x1RunHw() local 214 auto error_code = conv1x1->DoConv1x1Hw(task_id); in Convolution1x1RunHw()
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/third_party/mindspore/tests/ut/python/communication/ |
D | test_data_parallel_resnet.py | 35 def conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='pad'): function 55 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 61 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 67 self.conv_down_sample = conv1x1(in_channels, out_channels,
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/third_party/mindspore/tests/ut/python/ops/ |
D | test_nn_ops.py | 46 def conv1x1(in_channels, out_channels, stride=1, padding=0): function 70 self.conv1 = conv1x1(in_channels, out_chls, stride=1, padding=0) 76 self.conv3 = conv1x1(out_chls, out_channels, stride=1, padding=0) 82 self.conv_down_sample = conv1x1(in_channels, out_channels,
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