| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| D | mul.cc | 60 TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); in Prepare() local
64 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
67 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
72 context, input1, input2, &output_size)); in Prepare()
74 output_size = TfLiteIntArrayCopy(input1->dims); in Prepare()
83 TfLiteTensor* input1, TfLiteTensor* input2, in EvalFloat() argument
89 type::opname(GetTensorData<float>(input1), GetTensorDims(input1), \ in EvalFloat()
112 TfLiteTensor* input1, TfLiteTensor* input2, in EvalQuantized() argument
114 auto input1_offset = -input1->params.zero_point; in EvalQuantized()
122 input1->params.scale * input2->params.scale / output->params.scale; in EvalQuantized()
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| D | add.cc | 60 TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); in Prepare() local
64 TF_LITE_ENSURE_EQ(context, input1->type, input2->type); in Prepare()
67 data->requires_broadcast = !HaveSameShapes(input1, input2); in Prepare()
72 context, input1, input2, &output_size)); in Prepare()
74 output_size = TfLiteIntArrayCopy(input1->dims); in Prepare()
83 TfLiteTensor* input1, TfLiteTensor* input2, in EvalAddFloat() argument
89 type::opname(GetTensorData<float>(input1), GetTensorDims(input1), \ in EvalAddFloat()
112 TfLiteTensor* input1, TfLiteTensor* input2, in EvalAddQuantized() argument
114 auto input1_offset = -input1->params.zero_point; in EvalAddQuantized()
119 2 * std::max(input1->params.scale, input2->params.scale); in EvalAddQuantized()
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| D | div.cc | 44 TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); in Prepare() local
48 TF_LITE_ENSURE_EQ(context, NumDimensions(input1), NumDimensions(input2)); in Prepare()
49 for (int i = 0; i < NumDimensions(input1); ++i) { in Prepare()
50 TF_LITE_ENSURE_EQ(context, SizeOfDimension(input1, i), in Prepare()
54 TF_LITE_ENSURE_EQ(context, input1->type, output->type); in Prepare()
57 TfLiteIntArray* output_size = TfLiteIntArrayCopy(input1->dims); in Prepare()
63 TfLiteDivParams* params, TfLiteTensor* input1, in EvalDivFloat() argument
69 type::Div(GetTensorData<float>(input1), GetTensorDims(input1), \ in EvalDivFloat()
85 TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); in Eval() local
90 EvalDivFloat<kernel_type>(context, node, params, input1, input2, output); in Eval()
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| D | sub.cc | 44 TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); in Prepare() local
48 TF_LITE_ENSURE_EQ(context, NumDimensions(input1), NumDimensions(input2)); in Prepare()
49 for (int i = 0; i < NumDimensions(input1); ++i) { in Prepare()
50 TF_LITE_ENSURE_EQ(context, SizeOfDimension(input1, i), in Prepare()
54 TF_LITE_ENSURE_EQ(context, input1->type, output->type); in Prepare()
57 TfLiteIntArray* output_size = TfLiteIntArrayCopy(input1->dims); in Prepare()
63 TfLiteSubParams* params, TfLiteTensor* input1, in EvalSubFloat() argument
69 type::Sub(GetTensorData<float>(input1), GetTensorDims(input1), \ in EvalSubFloat()
85 TfLiteTensor* input1 = GetInput(context, node, kInputTensor1); in Eval() local
90 EvalSubFloat<kernel_type>(context, node, params, input1, input2, output); in Eval()
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| D | add_test.cc | 28 BaseAddOpModel(const TensorData& input1, const TensorData& input2, in BaseAddOpModel() argument
31 input1_ = AddInput(input1); in BaseAddOpModel()
39 int input1() { return input1_; } in input1() function in tflite::__anone683e0110111::BaseAddOpModel
76 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8}); in TEST()
86 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8}); in TEST()
99 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8, 1.1, 2.0}); in TEST()
115 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8, 1.1, 2.0}); in TEST()
138 m.QuantizeAndPopulate<uint8_t>(m.input1(), inputs1[i]); in TEST()
160 m.QuantizeAndPopulate<uint8_t>(m.input1(), inputs1[i]); in TEST()
178 m.QuantizeAndPopulate<uint8_t>(m.input1(), {-2.0, 0.2, 0.7, 0.8, 1.1, 2.0}); in TEST()
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| D | mul_test.cc | 28 BaseMulOpModel(const TensorData& input1, const TensorData& input2, in BaseMulOpModel() argument
31 input1_ = AddInput(input1); in BaseMulOpModel()
39 int input1() { return input1_; } in input1() function in tflite::__anon0f738a560111::BaseMulOpModel
76 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8}); in TEST()
87 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8}); in TEST()
101 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8, 1.1, 2.0}); in TEST()
118 m.PopulateTensor<float>(m.input1(), {-2.0, 0.2, 0.7, 0.8, 1.1, 2.0}); in TEST()
133 m.QuantizeAndPopulate<uint8_t>(m.input1(), {-0.8, 0.2, 0.9, 0.7}); in TEST()
157 m.QuantizeAndPopulate<uint8_t>(m.input1(), {-2.0, 0.2, 0.7, 0.8, 1.1, 2.0}); in TEST()
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| /external/deqp/external/vulkancts/modules/vulkan/shaderexecutor/ |
| D | vktAtomicOperationTests.cpp | 264 const T input1 = *reinterpret_cast<const T*>(&original.input[elementNdx + NUM_ELEMENTS / 2]); in checkOperation() local
273 …exp.push_back(Expected<T>(originalInout + input0 + input1, originalInout, originalInout + input0)); in checkOperation()
274 …exp.push_back(Expected<T>(originalInout + input0 + input1, originalInout + input1, originalInout)); in checkOperation()
280 …exp.push_back(Expected<T>(originalInout & input0 & input1, originalInout, originalInout & input0)); in checkOperation()
281 …exp.push_back(Expected<T>(originalInout & input0 & input1, originalInout & input1, originalInout)); in checkOperation()
287 …exp.push_back(Expected<T>(originalInout | input0 | input1, originalInout, originalInout | input0)); in checkOperation()
288 …exp.push_back(Expected<T>(originalInout | input0 | input1, originalInout | input1, originalInout)); in checkOperation()
294 …exp.push_back(Expected<T>(originalInout ^ input0 ^ input1, originalInout, originalInout ^ input0)); in checkOperation()
295 …exp.push_back(Expected<T>(originalInout ^ input0 ^ input1, originalInout ^ input1, originalInout)); in checkOperation()
301 …exp.push_back(Expected<T>(de::min(de::min(originalInout, input0), input1), originalInout, de::min(… in checkOperation()
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| /external/adhd/cras/src/dsp/ |
| D | dsp_util.c | 83 static void interleave_stereo(float *input1, float *input2, in interleave_stereo() argument
108 [input1]"+r"(input1), in interleave_stereo()
121 f = *input1++ * 32768.0f; in interleave_stereo()
187 static void interleave_stereo(float *input1, float *input2, in interleave_stereo() argument
222 [input1]"+r"(input1), in interleave_stereo()
236 f = *input1++ * 32768.0f; in interleave_stereo()
322 static void interleave_stereo(float *input1, float *input2, in interleave_stereo() argument
351 [input1]"+r"(input1), in interleave_stereo()
365 f = *input1++ * 32768.0f; in interleave_stereo()
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| /external/v8/src/compiler/ |
| D | node-matchers.cc | 40 Node* input1 = merge->InputAt(1); in DiamondMatcher() local
41 if (input1->InputCount() != 1) return; in DiamondMatcher()
43 if (branch != input1->InputAt(0)) return; in DiamondMatcher()
46 input1->opcode() == IrOpcode::kIfFalse) { in DiamondMatcher()
49 if_false_ = input1; in DiamondMatcher()
51 input1->opcode() == IrOpcode::kIfTrue) { in DiamondMatcher()
53 if_true_ = input1; in DiamondMatcher()
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| /external/eigen/unsupported/test/ |
| D | cxx11_tensor_chipping.cpp | 186 Tensor<float, 5, DataLayout> input1(2,3,5,7,11); in test_chip_in_expr() local
187 input1.setRandom(); in test_chip_in_expr()
191 Tensor<float, 4, DataLayout> result = input1.template chip<0>(0) + input2; in test_chip_in_expr()
196 float expected = input1(0,i,j,k,l) + input2(i,j,k,l); in test_chip_in_expr()
205 Tensor<float, 3, DataLayout> result2 = input1.template chip<0>(0).template chip<1>(2) + input3; in test_chip_in_expr()
209 float expected = input1(0,i,2,j,k) + input3(i,j,k); in test_chip_in_expr()
219 Tensor<float, 5, DataLayout> input1(2,3,5,7,11); in test_chip_as_lvalue() local
220 input1.setRandom(); in test_chip_as_lvalue()
224 Tensor<float, 5, DataLayout> tensor = input1; in test_chip_as_lvalue()
232 VERIFY_IS_EQUAL(tensor(i,j,k,l,m), input1(i,j,k,l,m)); in test_chip_as_lvalue()
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| D | cxx11_tensor_ref.cpp | 50 Tensor<int, 1> input1(6); in test_simple_rvalue_ref() local
51 input1.setRandom(); in test_simple_rvalue_ref()
55 TensorRef<Tensor<int, 1>> ref3(input1 + input2); in test_simple_rvalue_ref()
56 TensorRef<Tensor<int, 1>> ref4 = input1 + input2; in test_simple_rvalue_ref()
58 VERIFY_IS_NOT_EQUAL(ref3.data(), input1.data()); in test_simple_rvalue_ref()
59 VERIFY_IS_NOT_EQUAL(ref4.data(), input1.data()); in test_simple_rvalue_ref()
64 VERIFY_IS_EQUAL(ref3(i), input1(i) + input2(i)); in test_simple_rvalue_ref()
65 VERIFY_IS_EQUAL(ref4(i), input1(i) + input2(i)); in test_simple_rvalue_ref()
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | string_join_op_test.py | 28 input1 = "a"
32 output = string_ops.string_join([input0, input1])
35 output = string_ops.string_join([input0, input1], separator="--")
38 output = string_ops.string_join([input0, input1, input0], separator="--")
41 output = string_ops.string_join([input1] * 4, separator="!")
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| /external/libchrome/crypto/ |
| D | sha2_unittest.cc | 14 std::string input1 = "abc"; in TEST() local
25 crypto::SHA256HashString(input1, output1, sizeof(output1)); in TEST()
30 crypto::SHA256HashString(input1, in TEST()
39 std::string input1 = "abc"; in TEST() local
49 std::string output1 = crypto::SHA256HashString(input1); in TEST()
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| D | rsa_private_key_unittest.cc | 325 std::vector<uint8_t> input1; in TEST() local
328 input1.resize(sizeof(short_integer_with_high_bit)); in TEST()
331 memcpy(&input1.front(), short_integer_with_high_bit, in TEST()
337 crypto::RSAPrivateKey::CreateFromPrivateKeyInfo(input1)); in TEST()
348 ASSERT_EQ(input1.size(), output1.size()); in TEST()
350 ASSERT_EQ(0, memcmp(&output1.front(), &input1.front(), input1.size())); in TEST()
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| /external/libvpx/libvpx/vp8/common/mips/msa/ |
| D | idct_msa.c | 89 v8i16 input0, input1; in idct4x4_addblk_msa() local
95 LD_SH2(input, 8, input0, input1); in idct4x4_addblk_msa()
97 UNPCK_SH_SW(input1, in2, in3); in idct4x4_addblk_msa()
138 v8i16 input0, input1, tmp0, tmp1, tmp2, tmp3, out0, out1; in vp8_short_inv_walsh4x4_msa() local
144 LD_SH2(input, 8, input0, input1); in vp8_short_inv_walsh4x4_msa()
145 input1 = (v8i16)__msa_sldi_b((v16i8)input1, (v16i8)input1, 8); in vp8_short_inv_walsh4x4_msa()
146 tmp0 = input0 + input1; in vp8_short_inv_walsh4x4_msa()
147 tmp1 = input0 - input1; in vp8_short_inv_walsh4x4_msa()
151 VSHF_H2_SH(out0, out1, out0, out1, mask2, mask3, input0, input1); in vp8_short_inv_walsh4x4_msa()
152 tmp0 = input0 + input1; in vp8_short_inv_walsh4x4_msa()
[all …]
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| /external/webrtc/webrtc/modules/audio_coding/codecs/isac/fix/source/ |
| D | lattice_mips.c | 128 int16_t input1, // Filter coefficient in WebRtcIsacfix_FilterMaLoopMIPS() argument
240 : [input0] "r" (input0), [input1] "r" (input1), in WebRtcIsacfix_FilterMaLoopMIPS()
324 : [input0] "r" (input0), [input1] "r" (input1), in WebRtcIsacfix_FilterMaLoopMIPS()
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| /external/compiler-rt/test/builtins/timing/ |
| D | modsi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; in main() local
27 input1[i] = rand(); in main()
39 FUNCTION_NAME(input1[i], input2[i]); in main()
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| D | divdi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; in main() local
27 input1[i] = (((int64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63); in main()
39 FUNCTION_NAME(input1[i], input2[i]); in main()
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| D | moddi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; in main() local
27 input1[i] = (((int64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63); in main()
39 FUNCTION_NAME(input1[i], input2[i]); in main()
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| D | muldi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; in main() local
27 input1[i] = (((int64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63); in main()
39 FUNCTION_NAME(input1[i], input2[i]); in main()
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| D | udivdi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; in main() local
27 input1[i] = (((uint64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63); in main()
39 FUNCTION_NAME(input1[i], input2[i]); in main()
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| D | umoddi3.c | 16 INPUT_TYPE FUNCTION_NAME(INPUT_TYPE input1, INPUT_TYPE input2);
19 INPUT_TYPE input1[INPUT_SIZE]; in main() local
27 input1[i] = (((uint64_t)rand() << 36) | (uint64_t)rand()) >> (rand() & 63); in main()
39 FUNCTION_NAME(input1[i], input2[i]); in main()
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| /external/libxcam/tests/ |
| D | test-image-blend.cpp | 150 SmartPtr<VideoBuffer> input0, SmartPtr<VideoBuffer> input1, in blend_images() argument
155 input0->attach_buffer (input1); in blend_images()
170 SmartPtr<VideoBuffer> input0, input1; in main() local
314 input1 = dma_buf_to_xcam_buf ( in main()
323 input1 = buf_pool1->get_buffer (buf_pool1); in main()
324 XCAM_ASSERT (input0.ptr () && input1.ptr ()); in main()
335 read_buf = input1; in main()
359 input1->clear_attached_buffers (); in main()
363 …geo_correct_image (geo_map_handler, input1, geo_map1, map_width, map_height, file_in1_name, need_s… in main()
366 ret = blend_images (input0, input1, output_buf, blender); in main()
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| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/ |
| D | tensor_utils_test.cc | 63 static float input1[kVectorSize] = {0.0, -0.5, 1.0, -1.5, 2.0, in TEST() local
68 VectorVectorCwiseProduct(input1, input2, kVectorSize, output.data()); in TEST()
76 static float input1[kVectorSize] = {0.0, -0.5, 1.0, -1.5, 2.0, in TEST() local
82 VectorVectorCwiseProductAccumulate(input1, input2, kVectorSize, in TEST()
151 static float input1[kVectorSize * kBatch] = {0.0, -0.5, 1.0, -1.5, 2.0, in TEST() local
156 BatchVectorBatchVectorDotProduct(input1, input2, kVectorSize, kBatch, in TEST()
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| /external/tensorflow/tensorflow/contrib/saved_model/python/saved_model/ |
| D | signature_def_utils_test.py | 96 input1 = constant_op.constant("a", name="input-1")
102 signature_def_utils.regression_signature_def(input1, output1)
124 input1 = constant_op.constant("a", name="input-1")
132 input1, output1, output2)
158 input1 = constant_op.constant("a", name="input-1")
167 "input-1": input1,
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