/third_party/skia/third_party/externals/spirv-tools/test/ |
D | text_to_binary.image_test.cpp | 63 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 79 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 81 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 90 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 96 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 184 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 199 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 201 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 210 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) |
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/third_party/skia/third_party/externals/swiftshader/third_party/SPIRV-Tools/test/ |
D | text_to_binary.image_test.cpp | 63 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 79 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 81 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 90 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 96 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 184 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 199 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 201 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 210 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) |
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/third_party/flutter/skia/third_party/externals/spirv-tools/test/ |
D | text_to_binary.image_test.cpp | 60 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 76 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 78 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 88 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 94 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 182 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 197 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 199 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 208 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) |
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/third_party/spirv-tools/test/ |
D | text_to_binary.image_test.cpp | 63 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 79 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 81 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 90 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 96 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) | 184 {" Grad %5 %6", {MASK(Grad), 5, 6}}, 199 {" Lod|Grad %5 %6 %7", {MASK(Lod) | MASK(Grad), 5, 6, 7}}, 201 {MASK(Grad) | MASK(ConstOffset), 5, 6, 7}}, 210 {MASK(Bias) | MASK(Lod) | MASK(Grad) | MASK(ConstOffset) |
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/third_party/glslang/Test/baseResults/ |
D | spv.float16Fetch.frag.out | 2104 1396: 7(f16vec4) ImageSampleExplicitLod 1391 1392 Grad 1394 1395 2112 1404: 7(f16vec4) ImageSampleExplicitLod 1399 1400 Grad 1402 1403 2120 1412: 7(f16vec4) ImageSampleExplicitLod 1407 1408 Grad 1410 1411 2128 1420: 7(f16vec4) ImageSampleExplicitLod 1415 1416 Grad 1418 1419 2136 1428: 7(f16vec4) ImageSampleExplicitLod 1423 1424 Grad 1426 1427 2144 1436: 7(f16vec4) ImageSampleExplicitLod 1431 1432 Grad 1434 1435 2152 1443: 7(f16vec4) ImageSampleExplicitLod 1439 1440 Grad 1441 1442 2160 1450: 7(f16vec4) ImageSampleExplicitLod 1446 1447 Grad 1448 1449 2168 1457: 7(f16vec4) ImageSampleExplicitLod 1453 1454 Grad 1455 1456 2176 1464: 7(f16vec4) ImageSampleExplicitLod 1460 1461 Grad 1462 1463 [all …]
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/third_party/mindspore/tests/st/ops/ascend/ |
D | test_dense_grad.py | 26 class Grad(nn.Cell): class 28 super(Grad, self).__init__() 49 net = Grad(Net()) 56 net = Grad(Net())
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D | test_simplemean_grad.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 50 net = Grad(Net())
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D | test_relu_grad.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 50 net = Grad(Net())
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D | test_maxpool_with_argmax_grad.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 55 net = Grad(Net())
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/third_party/mindspore/tests/st/ops/cpu/ |
D | test_softplus_grad_op.py | 37 class Grad(nn.Cell): class 39 super(Grad, self).__init__() 60 grad = Grad(net) 75 grad = Grad(net) 89 grad = Grad(net)
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D | test_mirror_pad.py | 58 class Grad(nn.Cell): class 60 super(Grad, self).__init__() 85 net = Grad(Net(((0, 0), (0, 0), (1, 0), (0, 2)), "REFLECT")) 107 GradNet = Grad(Net(pads, "REFLECT")) 148 GradNet = Grad(Net(pads, "SYMMETRIC"))
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D | test_avgpool_grad_op.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 48 backword_net = Grad(net)
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/third_party/mindspore/tests/st/ops/gpu/ |
D | test_minimum_op.py | 36 class Grad(Cell): class 38 super(Grad, self).__init__() 57 net = Grad(MinimumNet()) 184 net = Grad(MinimumNet()) 217 net = Grad(MinimumNet()) 233 net = Grad(MinimumNet())
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D | test_instancenorm2d.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 58 bn_comp_backward_net = Grad(bn_instance_comp) 59 bn_op_backward_net = Grad(bn_instance_op)
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D | test_gelu_grad_op.py | 37 class Grad(nn.Cell): class 39 super(Grad, self).__init__() 58 grad = Grad(net) 73 grad = Grad(net)
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D | test_softplus_grad_op.py | 37 class Grad(nn.Cell): class 39 super(Grad, self).__init__() 60 grad = Grad(net) 74 grad = Grad(net)
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D | test_tanh_op.py | 37 class Grad(nn.Cell): class 39 super(Grad, self).__init__() 67 grad = Grad(net) 88 grad = Grad(net)
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D | test_sigmoid_grad_grad_op.py | 35 class Grad(nn.Cell): class 37 super(Grad, self).__init__() 70 sigmoid_grad_grad = Grad(NetSigmoidGrad()) 78 sigmoid_grad_grad = Grad(NetSigmoidGrad())
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D | test_logsoftmax_op.py | 52 class Grad(nn.Cell): class 54 super(Grad, self).__init__() 100 dx = Grad(net)(Tensor(x), Tensor(dy)) 141 dx = Grad(net)(Tensor(x), Tensor(dy))
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D | test_mirror_pad.py | 58 class Grad(nn.Cell): class 60 super(Grad, self).__init__() 85 net = Grad(Net(((0, 0), (0, 0), (1, 0), (0, 2)), "REFLECT")) 107 GradNet = Grad(Net(pads, "REFLECT")) 148 GradNet = Grad(Net(pads, "SYMMETRIC"))
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/third_party/mindspore/tests/ut/python/parallel/ |
D | test_add_relu_redistribution.py | 51 class Grad(nn.Cell): class 53 super(Grad, self).__init__() 72 net = Grad(NetWithLoss(AddRelu(strategy0, strategy1))) 85 net = Grad(NetWithLoss(AddRelu(strategy0, strategy1)))
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/third_party/mindspore/tests/st/ops/ascend/test_tbe_ops/ |
D | test_resize_nearest_neighbor_grad.py | 37 class Grad(nn.Cell): class 39 super(Grad, self).__init__() 51 grad = Grad(Net())
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D | test_relu_v2_grad.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 51 net = Grad(Net())
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D | test_relu_grad.py | 27 class Grad(nn.Cell): class 29 super(Grad, self).__init__() 50 net = Grad(Net())
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D | test_sigmoid_grad.py | 37 class Grad(nn.Cell): class 39 super(Grad, self).__init__() 51 net = Grad(Net())
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