/external/clang/test/SemaCXX/ |
D | warn-consumed-analysis.cpp | 84 ConsumableClass<int> var1 = ConsumableClass<int>(); 90 …*var1; // expected-warning {{invalid invocation of method 'operator*' on object 'var1' while it is… 98 var0 = var1; 103 *var1; 129 ConsumableClass<int> var1(42); 132 *var1; 134 var0 = static_cast<ConsumableClass<int>&&>(var1); 137 …*var1; // expected-warning {{invalid invocation of method 'operator*' on object 'var1' while it is… 175 ConsumableClass<int> var0, var1, var2; 177 if (var0 && var1) { [all …]
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/external/tensorflow/tensorflow/compiler/tests/ |
D | ftrl_test.py | 32 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0], dtype=dtype) 36 return var0, var1, grads0, grads1 39 var0, var1, grads0, grads1 = self.initVariableAndGradient(dtype) 46 ftrl_update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 50 self.assertAllClose([0.0, 0.0], self.evaluate(var1)) 56 return self.evaluate(var0), self.evaluate(var1) 59 var0, var1, grads0, grads1 = self.initVariableAndGradient(dtype) 61 adagrad_update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 65 self.assertAllClose([0.0, 0.0], self.evaluate(var1)) 71 return self.evaluate(var0), self.evaluate(var1) [all …]
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D | proximal_gradient_descent_test.py | 33 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0]) 38 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 42 self.assertAllClose([0.0, 0.0], self.evaluate(var1)) 49 self.assertAllClose(np.array([-0.09, -0.18]), self.evaluate(var1)) 54 var1 = resource_variable_ops.ResourceVariable([4.0, 3.0]) 60 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 64 self.assertAllClose([4.0, 3.0], self.evaluate(var1)) 71 self.assertAllClose(np.array([3.91, 2.82]), self.evaluate(var1)) 76 var1 = resource_variable_ops.ResourceVariable([4.0, 3.0]) 82 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) [all …]
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D | proximal_adagrad_test.py | 33 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0]) 41 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 45 self.assertAllClose([0.0, 0.0], self.evaluate(var1)) 54 np.array([-0.28432083, -0.56694895]), self.evaluate(var1)) 57 self.assertStartsWith(opt_vars[1].name, var1._shared_name) 63 var1 = resource_variable_ops.ResourceVariable([4.0, 3.0]) 72 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 76 self.assertAllClose([4.0, 3.0], self.evaluate(var1)) 82 self.assertAllClose(np.array([3.715679, 2.433051]), self.evaluate(var1)) 87 var1 = resource_variable_ops.ResourceVariable([4.0, 3.0]) [all …]
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D | adagrad_test.py | 33 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) 38 zip([grads0, grads1], [var0, var1])) 42 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 53 self.evaluate(var1), 60 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) 66 zip([grads0, grads1], [var0, var1])) 70 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 81 self.evaluate(var1), 88 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) 95 zip([grads0, grads1], [var0, var1])) [all …]
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D | adagrad_da_test.py | 36 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0], dtype=dtype) 46 zip([grads0, grads1], [var0, var1]), global_step=global_step) 50 self.assertAllClose([0.0, 0.0], self.evaluate(var1)) 64 np.array([-0.094821, -0.189358]), self.evaluate(var1)) 72 var1 = resource_variable_ops.ResourceVariable([4.0, 3.0], dtype=dtype) 83 zip([grads0, grads1], [var0, var1]), global_step=global_step) 87 self.assertAllCloseAccordingToType([4.0, 3.0], self.evaluate(var1)) 95 np.array([-0.094821, -0.189358]), self.evaluate(var1)) 103 var1 = resource_variable_ops.ResourceVariable([4.0, 3.0], dtype=dtype) 114 zip([grads0, grads1], [var0, var1]), global_step=global_step) [all …]
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D | momentum_test.py | 42 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) 48 zip([grads0, grads1], [var0, var1])) 55 slot1 = mom_opt.get_slot(var1, "momentum") 56 self.assertEqual(slot1.get_shape(), var1.get_shape()) 61 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 76 self.evaluate(var1)) 96 ]), self.evaluate(var1)) 102 var1 = resource_variable_ops.ResourceVariable([0.3, 0.4], dtype=dtype) 107 cost = 0.4 * var0 * var0 + 0.9 * var1 112 opt_op = mom_op.minimize(cost, global_step, [var0, var1]) [all …]
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D | adadelta_test.py | 47 var1 = resource_variable_ops.ResourceVariable( 61 zip([grads, grads], [var0, var1])) 66 self.assertStartsWith(opt_vars[2].name, var1._shared_name) 67 self.assertStartsWith(opt_vars[3].name, var1._shared_name) 82 slot[1] = adadelta_opt.get_slot(var1, "accum") 83 self.assertEqual(slot[1].get_shape(), var1.get_shape()) 86 slot_update[1] = adadelta_opt.get_slot(var1, "accum_update") 87 self.assertEqual(slot_update[1].get_shape(), var1.get_shape()) 92 self.assertAllClose(var1_init, self.evaluate(var1)) 133 self.evaluate(var1),
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D | adam_test.py | 66 var1 = resource_variable_ops.ResourceVariable(var1_np) 70 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 75 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 91 self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1)) 109 var1 = resource_variable_ops.ResourceVariable(var1_np) 113 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 118 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 134 self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1)) 152 var1 = resource_variable_ops.ResourceVariable(var1_np) 156 update1 = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) [all …]
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/external/tensorflow/tensorflow/python/training/ |
D | optimizer_test.py | 44 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype, 47 return 5 * var0 + 3 * var1 # pylint: disable=cell-var-from-loop 57 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 59 opt_op = sgd_op.minimize(loss, global_step, [var0, var1]) 63 self.assertAllClose([-6., -5.], self.evaluate(var1)) 70 var1 = variables.Variable([3.0, 4.0], dtype=dtype) 71 cost = 5 * var0 + 3 * var1 77 global_step, [var0, var1], 84 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 89 self.assertAllClose([-6., -5.], self.evaluate(var1)) [all …]
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D | gradient_descent_test.py | 40 var1 = variables.Variable([3.0, 4.0], dtype=dtype) 45 zip([grads0, grads1], [var0, var1])) 49 self.assertAllCloseAccordingToType([3.0, 4.0], self.evaluate(var1)) 56 self.evaluate(var1)) 64 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) 68 zip([grads0, grads1], [var0, var1])) 73 resources.initialize_resources([var0, var1]).run() 76 self.assertAllCloseAccordingToType([3.0, 4.0], self.evaluate(var1)) 83 self.evaluate(var1)) 90 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) [all …]
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D | ftrl_test.py | 43 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0], 47 var1 = variables.Variable([0.0, 0.0], dtype=dtype) 55 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 58 v0_val, v1_val = self.evaluate([var0, var1]) 66 v0_val, v1_val = self.evaluate([var0, var1]) 84 var1 = variables.Variable([4.0, 3.0], dtype=dtype) 93 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 96 v0_val, v1_val = self.evaluate([var0, var1]) 103 v0_val, v1_val = self.evaluate([var0, var1]) 136 var1 = variables.Variable([4.0, 3.0], dtype=dtype) [all …]
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D | proximal_adagrad_test.py | 38 var1 = variables.Variable([0.0, 0.0]) 46 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 49 v0_val, v1_val = self.evaluate([var0, var1]) 57 v0_val, v1_val = self.evaluate([var0, var1]) 62 self.assertStartsWith(opt_vars[1].name, var1._shared_name) 75 var1 = variables.Variable([4.0, 3.0]) 84 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 87 v0_val, v1_val = self.evaluate([var0, var1]) 94 v0_val, v1_val = self.evaluate([var0, var1]) 121 var1 = variables.Variable([4.0, 3.0]) [all …]
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D | momentum_test.py | 49 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], 54 var1 = variables.Variable([3.0, 4.0], dtype=dtype) 64 mom_update = mom_opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 70 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 76 slot1 = mom_opt.get_slot(var1, "momentum") 77 self.assertEqual(slot1.get_shape(), var1.get_shape()) 96 self.evaluate(var1)) 99 mom_opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 119 ]), self.evaluate(var1)) 139 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], [all …]
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D | proximal_gradient_descent_test.py | 39 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0]) 42 var1 = variables.Variable([0.0, 0.0]) 47 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 50 v0_val, v1_val = self.evaluate([var0, var1]) 58 v0_val, v1_val = self.evaluate([var0, var1]) 71 var1 = variables.Variable([4.0, 3.0]) 77 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 80 v0_val, v1_val = self.evaluate([var0, var1]) 88 v0_val, v1_val = self.evaluate([var0, var1]) 114 var1 = variables.Variable([4.0, 3.0]) [all …]
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D | adagrad_da_test.py | 39 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0], dtype=dtype) 42 var1 = variables.Variable([0.0, 0.0], dtype=dtype) 52 zip([grads0, grads1], [var0, var1]), global_step=global_step) 55 v0_val, v1_val = self.evaluate([var0, var1]) 62 v0_val, v1_val = self.evaluate([var0, var1]) 107 var1 = variables.Variable([4.0, 3.0], dtype=dtype) 118 zip([grads0, grads1], [var0, var1]), global_step=global_step) 121 v0_val, v1_val = self.evaluate([var0, var1]) 128 v0_val, v1_val = self.evaluate([var0, var1]) 139 var1 = variables.Variable([4.0, 3.0], dtype=dtype) [all …]
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D | rmsprop_test.py | 102 var1 = resource_variable_ops.ResourceVariable(var1_np) 105 var1 = variables.Variable(var1_np) 115 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 120 mg1 = opt.get_slot(var1, "mg") 124 rms1 = opt.get_slot(var1, "rms") 128 mom1 = opt.get_slot(var1, "momentum") 140 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 162 self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1)) 225 var1 = variables.Variable(var1_np) 240 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) [all …]
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D | adagrad_test.py | 43 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype) 46 var1 = variables.Variable([3.0, 4.0], dtype=dtype) 59 zip([grads0, grads1], [var0, var1])) 63 v0_val, v1_val = self.evaluate([var0, var1]) 72 ada_opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 75 v0_val, v1_val = self.evaluate([var0, var1]) 122 var1 = variables.Variable([3.0, 4.0], dtype=dtype) 128 zip([grads0, grads1], [var0, var1])) 132 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 142 self.evaluate(var1)) [all …]
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D | adadelta_test.py | 43 var1 = resource_variable_ops.ResourceVariable( 47 var1 = variables.Variable(var1_init, dtype=dtype) 67 zip([grads, grads], [var0, var1])) 76 self.assertStartsWith(opt_vars[2].name, var1._shared_name) 77 self.assertStartsWith(opt_vars[3].name, var1._shared_name) 92 slot[1] = adadelta_opt.get_slot(var1, "accum") 93 self.assertEqual(slot[1].get_shape(), var1.get_shape()) 96 slot_update[1] = adadelta_opt.get_slot(var1, "accum_update") 97 self.assertEqual(slot_update[1].get_shape(), var1.get_shape()) 102 self.assertAllClose(var1_init, self.evaluate(var1)) [all …]
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D | adam_test.py | 67 var1 = resource_variable_ops.ResourceVariable(var1_np) 70 var1 = variables.RefVariable(var1_np) 80 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 85 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 101 self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1)) 172 var1 = resource_variable_ops.ResourceVariable( 176 var1 = variables.RefVariable(var1_np) 191 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1])) 214 self.assertAllClose([3.0, 4.0], self.evaluate(var1)) 223 opt.apply_gradients(zip([grads0, grads1], [var0, var1])) [all …]
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/external/boringssl/src/crypto/fipsmodule/ec/asm/ |
D | p256_beeu-armv8-asm.pl | 151 my ($var0, $var1, $var2, $var3, $var4) = @_; 157 adcs $var1, $var1, $n1 166 extr $var0, $var1, $var0, #1 167 extr $var1, $var2, $var1, #1 197 my ($var0, $var1, $var2, $var3) = @_; 201 lsl $t1, $var1, $t0 203 lsr $var1, $var1, $shift 211 orr $var1, $var1, $t2
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/external/cronet/third_party/boringssl/src/crypto/fipsmodule/ec/asm/ |
D | p256_beeu-armv8-asm.pl | 151 my ($var0, $var1, $var2, $var3, $var4) = @_; 157 adcs $var1, $var1, $n1 166 extr $var0, $var1, $var0, #1 167 extr $var1, $var2, $var1, #1 197 my ($var0, $var1, $var2, $var3) = @_; 201 lsl $t1, $var1, $t0 203 lsr $var1, $var1, $shift 211 orr $var1, $var1, $t2
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/external/deqp/external/vulkancts/data/vulkan/amber/spirv_assembly/instruction/spirv1p4/opptrnotequal/ |
D | different_ssbos_not_equal.amber | 10 OpEntryPoint GLCompute %main "main" %var1 %var2 %var3 %out_var 15 OpDecorate %var1 DescriptorSet 0 16 OpDecorate %var1 Binding 0 33 %var1 = OpVariable %ptr_ssbo_struct StorageBuffer 41 %var1_rta_gep = OpAccessChain %ptr_ssbo_rta %var1 %int_0 42 %var1_int_gep = OpAccessChain %ptr_ssbo_int %var1 %int_0 %int_0 47 ; var1 vs var2 48 %v1_neq_v2 = OpPtrNotEqual %bool %var1 %var2 63 ; var1 vs var3 64 %v1_neq_v3 = OpPtrNotEqual %bool %var1 %var3 [all …]
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D | simple_variable_pointers_ptr_not_equal.amber | 8 OpEntryPoint GLCompute %main "main" %var1 %var2 %out_var 22 OpDecorate %var1 DescriptorSet 0 23 OpDecorate %var1 Binding 0 47 %var1 = OpVariable %ptr_buffer_struct StorageBuffer 55 %var1_float_1 = OpAccessChain %ptr_buffer_float %var1 %int_2 57 %var1_float_2 = OpAccessChain %ptr_buffer_float %var1 %int_3 63 %var1_mat_1 = OpAccessChain %ptr_mat4v4 %var1 %int_0 65 %var1_mat_2 = OpAccessChain %ptr_mat4v4 %var1 %int_1 67 %var1_mat_1_0 = OpAccessChain %ptr_v4 %var1 %int_0 %int_0 69 %var1_mat_1_1 = OpAccessChain %ptr_v4 %var1 %int_0 %int_1 [all …]
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/external/deqp/external/vulkancts/data/vulkan/amber/spirv_assembly/instruction/spirv1p4/opptrequal/ |
D | different_ssbos_equal.amber | 10 OpEntryPoint GLCompute %main "main" %var1 %var2 %var3 %out_var 15 OpDecorate %var1 DescriptorSet 0 16 OpDecorate %var1 Binding 0 33 %var1 = OpVariable %ptr_ssbo_struct StorageBuffer 41 %var1_rta_gep = OpAccessChain %ptr_ssbo_rta %var1 %int_0 42 %var1_int_gep = OpAccessChain %ptr_ssbo_int %var1 %int_0 %int_0 47 ; var1 vs var2 48 %v1_eq_v2 = OpPtrEqual %bool %var1 %var2 63 ; var1 vs var3 64 %v1_eq_v3 = OpPtrEqual %bool %var1 %var3 [all …]
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