| /external/tensorflow/tensorflow/python/training/ |
| gradient_descent_test.py | 39 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
44 zip([grads0, grads1], [var0, var1]))
48 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
55 var1.eval())
62 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype)
66 zip([grads0, grads1], [var0, var1]))
71 resources.initialize_resources([var0, var1]).run()
74 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
81 var1.eval())
87 var1 = resource_variable_ops.ResourceVariable([3.0], dtype=dtype
[all...] |
| proximal_adagrad_test.py | 40 var1 = variables.Variable([0.0, 0.0])
48 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
51 v0_val, v1_val = sess.run([var0, var1])
59 v0_val, v1_val = sess.run([var0, var1])
64 self.assertStartsWith(opt_vars[1].name, var1._shared_name)
76 var1 = variables.Variable([4.0, 3.0])
85 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
88 v0_val, v1_val = sess.run([var0, var1])
95 v0_val, v1_val = sess.run([var0, var1])
119 var1 = variables.Variable([4.0, 3.0]
[all...] |
| 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))
69 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
70 cost = 5 * var0 + 3 * var1
76 global_step, [var0, var1],
83 self.assertAllClose([3.0, 4.0], var1.eval())
88 self.assertAllClose([-6., -5.], var1.eval()
[all...] |
| proximal_gradient_descent_test.py | 42 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0])
45 var1 = variables.Variable([0.0, 0.0])
50 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
53 v0_val, v1_val = sess.run([var0, var1])
61 v0_val, v1_val = sess.run([var0, var1])
74 var1 = variables.Variable([4.0, 3.0])
80 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
83 v0_val, v1_val = sess.run([var0, var1])
91 v0_val, v1_val = sess.run([var0, var1])
116 var1 = variables.Variable([4.0, 3.0]
[all...] |
| adagrad_da_test.py | 41 var1 = resource_variable_ops.ResourceVariable([0.0, 0.0], dtype=dtype)
44 var1 = variables.Variable([0.0, 0.0], dtype=dtype)
54 zip([grads0, grads1], [var0, var1]), global_step=global_step)
57 v0_val, v1_val = sess.run([var0, var1])
64 v0_val, v1_val = sess.run([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 = sess.run([var0, var1])
128 v0_val, v1_val = sess.run([var0, var1])
139 var1 = variables.Variable([4.0, 3.0], dtype=dtype
[all...] |
| adagrad_test.py | 42 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype)
45 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
51 zip([grads0, grads1], [var0, var1]))
55 self.assertAllClose([3.0, 4.0], var1.eval())
63 np.array([2.715679168701172, 3.715679168701172]), var1.eval())
97 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
103 zip([grads0, grads1], [var0, var1]))
107 self.assertAllClose([3.0, 4.0], var1.eval())
115 np.array([2.715679168701172, 3.715679168701172]), var1.eval())
121 var1 = variables.Variable([[3.0], [4.0]], dtype=dtype
[all...] |
| adadelta_test.py | 46 var1 = resource_variable_ops.ResourceVariable(
50 var1 = variables.Variable(var1_init, dtype=dtype)
62 zip([grads, grads], [var0, var1]))
67 self.assertStartsWith(opt_vars[2].name, var1._shared_name)
68 self.assertStartsWith(opt_vars[3].name, var1._shared_name)
86 slot[1] = adadelta_opt.get_slot(var1, "accum")
87 self.assertEquals(slot[1].get_shape(), var1.get_shape())
90 slot_update[1] = adadelta_opt.get_slot(var1, "accum_update")
91 self.assertEquals(slot_update[1].get_shape(), var1.get_shape())
96 self.assertAllClose(var1_init, var1.eval()
[all...] |
| momentum_test.py | 52 var1 = resource_variable_ops.ResourceVariable(
56 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
67 zip([grads0, grads1], [var0, var1]))
73 self.assertAllClose([3.0, 4.0], self.evaluate(var1))
79 slot1 = mom_opt.get_slot(var1, "momentum")
80 self.assertEquals(slot1.get_shape(), var1.get_shape())
100 self.evaluate(var1))
105 mom_opt.apply_gradients(zip([grads0, grads1], [var0, var1]))
123 ]), self.evaluate(var1))
143 var1 = resource_variable_ops.ResourceVariable
[all...] |
| /frameworks/av/media/libstagefright/codecs/amrwb/src/ |
| pvamrwbdecoder_basic_op_armv5.h | 62 __inline int16 add_int16(int16 var1, int16 var2)
69 mov L_var_out, var1, lsl #16 local
79 __inline int16 sub_int16(int16 var1, int16 var2)
86 mov L_var_out, var1, lsl #16 local
108 __inline int32 mac_16by16_to_int32(int32 L_var3, int16 var1, int16 var2)
115 smulbb L_var_out, var1, var2 local
132 __inline int32 msu_16by16_from_int32(int32 L_var3, int16 var1, int16 var2)
139 smulbb L_var_out, var1, var2 local
145 __inline int32 mul_16by16_to_int32(int16 var1, int16 var2)
151 smulbb L_var_out, var1, var local
163 smulbb L_var_out, var1, var2 local
216 smlabb L_add, var1, var2, L_add local
226 smulbb L_mult, var1, var2 local
[all...] |
| pvamrwbdecoder_basic_op_cequivalent.h | 67 Performs the addition (var1+var2) with overflow control and saturation;
72 var1
74 range : 0xffff 8000 <= var1 <= 0x0000 7fff.
78 range : 0xffff 8000 <= var1 <= 0x0000 7fff.
88 __inline int16 add_int16(int16 var1, int16 var2)
92 L_sum = (int32) var1 + var2;
105 Performs the subtraction (var1+var2) with overflow control and satu-
111 var1
113 range : 0xffff 8000 <= var1 <= 0x0000 7fff.
117 range : 0xffff 8000 <= var1 <= 0x0000 7fff
[all...] |
| /toolchain/binutils/binutils-2.27/ld/testsuite/ld-arm/ |
| thumb1-movs-armv7-m.s | 24 movs r2, #:lower8_15:#(var1 + 255)
25 movs r3, #:lower0_7:#var1
26 movs r7, #:upper8_15:#var1 + 4
30 var1: label
|
| thumb1-movs.s | 24 movs r2, #:lower8_15:#(var1 + 255)
25 movs r3, #:lower0_7:#var1
26 movs r7, #:upper8_15:#var1 + 4
30 var1: label
|
| thumb1-adds-armv7-m.s | 25 adds r3, #:lower0_7:#(var1 + 0xaa)
26 adds r7, #:upper8_15:#var1 + 4
30 var1: label
|
| thumb1-adds.s | 25 adds r3, #:lower0_7:#(var1 + 0xaa)
26 adds r7, #:upper8_15:#var1 + 4
30 var1: label
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| adagrad_test.py | 37 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype)
42 zip([grads0, grads1], [var0, var1]))
46 self.assertAllClose([3.0, 4.0], var1.eval())
55 np.array([2.715679168701172, 3.715679168701172]), var1.eval(),
62 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype)
68 zip([grads0, grads1], [var0, var1]))
72 self.assertAllClose([3.0, 4.0], var1.eval())
81 np.array([2.715679168701172, 3.715679168701172]), var1.eval(),
88 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype)
95 zip([grads0, grads1], [var0, var1]))
[all...] |
| momentum_test.py | 46 var1 = resource_variable_ops.ResourceVariable([3.0, 4.0], dtype=dtype)
52 zip([grads0, grads1], [var0, var1]))
59 slot1 = mom_opt.get_slot(var1, "momentum")
60 self.assertEquals(slot1.get_shape(), var1.get_shape())
65 self.assertAllClose([3.0, 4.0], var1.eval())
76 np.array([3.0 - (0.01 * 2.0), 4.0 - (0.01 * 2.0)]), var1.eval())
94 ]), var1.eval())
100 var1 = resource_variable_ops.ResourceVariable([0.3, 0.4], dtype=dtype)
105 cost = 0.4 * var0 * var0 + 0.9 * var1
110 opt_op = mom_op.minimize(cost, global_step, [var0, var1])
[all...] |
| /external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
| variational_sgd_optimizer_test.py | 35 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
46 zip([grads0, grads1], [var0, var1]))
50 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
56 var1.eval())
62 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
79 zip([grads0, grads1], [var0, var1]))
92 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
105 var1.eval())
119 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
132 zip([grads0, grads1], [var0, var1]))
[all...] |
| sgld_optimizer_test.py | 35 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
41 zip([grads0, grads1], [var0, var1]))
45 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
56 [3.0 - 3.0 * grads_scaled, 4.0 - 3.0 * grads_scaled], var1.eval())
63 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
73 zip([grads0, grads1], [var0, var1]))
81 self.assertAllCloseAccordingToType([3.0, 4.0], var1.eval())
99 [3.0 - 3.0 * grads_scaled, 4.0 - 3.0 * grads_scaled], var1.eval())
113 var1 = variables.Variable([3.0, 4.0], dtype=dtype)
121 zip([grads0, grads1], [var0, var1]))
[all...] |
| /external/clang/test/CodeGenCXX/ |
| mangle-local-class-names.cpp | 19 SSSS VAR1(IVAR1);
43 SSSS VAR1(IVAR1);
66 SSSS VAR1(x);
|
| /frameworks/data-binding/integration-tests/TestApp/app/src/main/res/layout/ |
| const_expression_test.xml | 16 <variable name="var1" type="int"/>
25 android:text='@{true ? "" + var1 : "" + var2}'
29 <!--android:textIsSelectable="@{var1 > 1 ? true ? true : false : false}"-->
|
| /hardware/intel/common/libmix/mix_vbp/viddec_fw/fw/codecs/h264/parser/ |
| h264parse_math.c | 4 unsigned long mult_u(register unsigned long var1, register unsigned long var2)
14 var_out += var1;
17 var1 <<= 1;
|
| /external/llvm/test/CodeGen/AArch64/ |
| arm64-large-frame.ll | 10 %var1 = alloca i8, i32 20000000
24 store volatile i8* %var1, i8** @addr
26 %var1plus2 = getelementptr i8, i8* %var1, i32 2
52 %var1 = alloca i8, i32 1000000
58 store volatile i8* %var1, i8** @addr
|
| /external/llvm/test/MC/Mips/ |
| mips_gprel16.s | 31 lw $1, %gp_rel(var1)($gp)
65 .type var1,@object # @var1
66 .local var1
67 .comm var1,4,4
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| addsign_test.py | 79 var1 = resource_variable_ops.ResourceVariable(var1_np)
84 var1 = variables.Variable(var1_np)
96 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]),
98 neg_update = opt.apply_gradients(zip([-grads0, -grads1], [var0, var1]),
104 self.assertAllClose([3.0, 4.0], self.evaluate(var1))
114 opt.apply_gradients(zip([grads0, grads1], [var0, var1]),
120 opt.apply_gradients(zip([-grads0, -grads1], [var0, var1]),
146 self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1))
182 var1 = resource_variable_ops.ResourceVariable(var1_np)
187 var1 = variables.Variable(var1_np
[all...] |
| powersign_test.py | 80 var1 = resource_variable_ops.ResourceVariable(var1_np)
85 var1 = variables.Variable(var1_np)
97 update = opt.apply_gradients(zip([grads0, grads1], [var0, var1]),
99 neg_update = opt.apply_gradients(zip([-grads0, -grads1], [var0, var1]),
106 self.assertAllClose([3.0, 4.0], self.evaluate(var1))
116 opt.apply_gradients(zip([grads0, grads1], [var0, var1]),
122 opt.apply_gradients(zip([-grads0, -grads1], [var0, var1]),
148 self.assertAllCloseAccordingToType(var1_np, self.evaluate(var1))
187 var1 = resource_variable_ops.ResourceVariable(var1_np)
192 var1 = variables.Variable(var1_np
[all...] |
