| /external/XNNPACK/eval/ |
| D | f32-f16-cvt.cc | 31 std::vector<uint16_t, AlignedAllocator<uint16_t, 64>> outputs(kBlockSize); in TEST() local
36 xnn_math_f32_f16_cvt__sse2(kBlockSize * sizeof(uint16_t), inputs.data(), outputs.data()); in TEST()
39 ASSERT_EQ(reference_output, outputs[i]) in TEST()
42 << ", optimized = 0x" << std::hex << std::setw(4) << std::setfill('0') << outputs[i]; in TEST()
49 std::vector<uint16_t, AlignedAllocator<uint16_t, 64>> outputs(kBlockSize); in TEST() local
54 xnn_math_f32_f16_cvt__sse2(kBlockSize * sizeof(uint16_t), inputs.data(), outputs.data()); in TEST()
57 ASSERT_EQ(reference_output, outputs[i]) in TEST()
60 << ", optimized = 0x" << std::hex << std::setw(4) << std::setfill('0') << outputs[i]; in TEST()
67 std::vector<uint16_t, AlignedAllocator<uint16_t, 64>> outputs(kBlockSize); in TEST() local
72 xnn_math_f32_f16_cvt__sse2(kBlockSize * sizeof(uint16_t), inputs.data(), outputs.data()); in TEST()
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| D | f32-exp.cc | 34 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
36 … xnn_math_f32_exp__neonfma_rr2_lut64_p2(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
38 ASSERT_EQ(reference_output, outputs[0]) in TEST()
41 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
48 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
50 … xnn_math_f32_exp__neonfma_rr2_lut64_p2(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
52 ASSERT_EQ(reference_output, outputs[0]) in TEST()
55 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
62 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
67 … xnn_math_f32_exp__neonfma_rr2_lut64_p2(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | f32-expminus.cc | 34 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
36 …xnn_math_f32_expminus__neonfma_rr2_lut64_p2(kBlockSize * sizeof(float), inputs.data(), outputs.dat… in TEST()
38 ASSERT_EQ(reference_output, outputs[0]) in TEST()
41 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
48 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
50 …xnn_math_f32_expminus__neonfma_rr2_lut64_p2(kBlockSize * sizeof(float), inputs.data(), outputs.dat… in TEST()
52 ASSERT_EQ(reference_output, outputs[0]) in TEST()
55 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
62 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
67 …math_f32_expminus__neonfma_rr2_lut64_p2(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | f32-expm1minus.cc | 34 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
36 …xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data… in TEST()
38 ASSERT_EQ(reference_output, outputs[0]) in TEST()
41 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
48 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
53 …xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data… in TEST()
56 ASSERT_EQ(reference_output, outputs[i]) in TEST()
59 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
68 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
73 …xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data… in TEST()
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| D | f16-f32-cvt.cc | 31 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
36 xnn_math_f16_f32_cvt__sse2_int16(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
39 ASSERT_EQ(reference_output, float_as_uint32(outputs[i])) in TEST()
42 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
49 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
54 xnn_math_f16_f32_cvt__sse2_int16(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
57 ASSERT_EQ(reference_output, float_as_uint32(outputs[i])) in TEST()
60 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
67 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
69 xnn_math_f16_f32_cvt__sse2_int16(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | f32-roundu.cc | 30 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
32 xnn_math_f32_roundu__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
34 ASSERT_EQ(reference_output, float_as_uint32(outputs[0])) in TEST()
37 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
42 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
44 xnn_math_f32_roundu__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
46 ASSERT_EQ(reference_output, float_as_uint32(outputs[0])) in TEST()
49 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
54 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
59 xnn_math_f32_roundu__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | f32-roundd.cc | 30 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
32 xnn_math_f32_roundd__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
34 ASSERT_EQ(reference_output, float_as_uint32(outputs[0])) in TEST()
37 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
42 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
44 xnn_math_f32_roundd__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
46 ASSERT_EQ(reference_output, float_as_uint32(outputs[0])) in TEST()
49 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[0]); in TEST()
54 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
59 xnn_math_f32_roundd__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | f32-roundz.cc | 30 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
35 xnn_math_f32_roundz__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
38 ASSERT_EQ(reference_output, float_as_uint32(outputs[i])) in TEST()
41 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
48 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
53 xnn_math_f32_roundz__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
56 ASSERT_EQ(reference_output, float_as_uint32(outputs[i])) in TEST()
59 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
66 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
71 xnn_math_f32_roundz__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | f32-roundne.cc | 30 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
35 xnn_math_f32_roundne__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
38 ASSERT_EQ(reference_output, float_as_uint32(outputs[i])) in TEST()
41 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
48 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
53 xnn_math_f32_roundne__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
56 ASSERT_EQ(reference_output, float_as_uint32(outputs[i])) in TEST()
59 …", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << float_as_uint32(outputs[i]); in TEST()
66 std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize); in TEST() local
71 xnn_math_f32_roundne__sse_addsub(kBlockSize * sizeof(float), inputs.data(), outputs.data()); in TEST()
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| D | u64-sqrt.cc | 49 std::vector<uint64_t, AlignedAllocator<uint64_t, 64>> outputs(kBlockSize); in TEST() local
54 …qrt__scalar_cvtu32_sqrt_cvtsatu32f64(kBlockSize * sizeof(uint64_t), inputs.data(), outputs.data()); in TEST()
57 const uint64_t output = outputs[i]; in TEST()
65 std::vector<uint64_t, AlignedAllocator<uint64_t, 64>> outputs(kBlockSize); in TEST() local
70 …qrt__scalar_cvtu32_sqrt_cvtsatu32f64(kBlockSize * sizeof(uint64_t), inputs.data(), outputs.data()); in TEST()
73 const uint64_t output = outputs[i]; in TEST()
81 std::vector<uint64_t, AlignedAllocator<uint64_t, 64>> outputs(kBlockSize); in TEST() local
86 …qrt__scalar_cvtu32_sqrt_cvtsatu32f64(kBlockSize * sizeof(uint64_t), inputs.data(), outputs.data()); in TEST()
89 const uint64_t output = outputs[i]; in TEST()
97 std::vector<uint64_t, AlignedAllocator<uint64_t, 64>> outputs(kBlockSize); in TEST() local
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| D | u32-sqrt.cc | 25 std::vector<uint32_t, AlignedAllocator<uint32_t, 64>> outputs(kBlockSize); in TEST() local
30 … xnn_math_u32_sqrt__scalar_bitmanip(kBlockSize * sizeof(uint32_t), inputs.data(), outputs.data()); in TEST()
33 const uint32_t output = outputs[i]; in TEST()
51 std::vector<uint32_t, AlignedAllocator<uint32_t, 64>> outputs(kBlockSize);
56 … xnn_math_u32_sqrt__scalar_bitmanip(kBlockSize * sizeof(uint32_t), inputs.data(), outputs.data());
59 const uint32_t output = outputs[i];
69 std::vector<uint32_t, AlignedAllocator<uint32_t, 64>> outputs(kBlockSize); in TEST() local
74 …xnn_math_u32_sqrt__scalar_clz_binsearch(kBlockSize * sizeof(uint32_t), inputs.data(), outputs.data… in TEST()
77 const uint32_t output = outputs[i]; in TEST()
95 std::vector<uint32_t, AlignedAllocator<uint32_t, 64>> outputs(kBlockSize);
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| /external/llvm/lib/Target/Hexagon/ |
| D | HexagonBitTracker.cpp | 126 CellMapType &Outputs) const { in evaluate()
142 return evaluateLoad(MI, Inputs, Outputs); in evaluate()
159 if (evaluateFormalCopy(MI, Inputs, Outputs)) in evaluate()
188 auto rr0 = [this,Reg] (const BT::RegisterCell &Val, CellMapType &Outputs) in evaluate()
190 putCell(Reg[0], Val, Outputs); in evaluate()
253 return rr0(eIMM(im(1), W0), Outputs); in evaluate()
255 return rr0(RegisterCell(W0).fill(0, W0, BT::BitValue::Zero), Outputs); in evaluate()
257 return rr0(RegisterCell(W0).fill(0, W0, BT::BitValue::One), Outputs); in evaluate()
265 return rr0(RC, Outputs); in evaluate()
273 return rr0(rc(1), Outputs); in evaluate()
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| /external/swiftshader/third_party/llvm-10.0/llvm/lib/Target/Hexagon/ |
| D | HexagonBitTracker.cpp | 189 CellMapType &Outputs) const { in evaluate()
215 return evaluateLoad(MI, Inputs, Outputs); in evaluate()
234 if (evaluateFormalCopy(MI, Inputs, Outputs)) in evaluate()
260 auto rr0 = [this,Reg] (const BT::RegisterCell &Val, CellMapType &Outputs) in evaluate()
262 putCell(Reg[0], Val, Outputs); in evaluate()
325 return rr0(eIMM(im(1), W0), Outputs); in evaluate()
327 return rr0(RegisterCell(W0).fill(0, W0, BT::BitValue::Zero), Outputs); in evaluate()
329 return rr0(RegisterCell(W0).fill(0, W0, BT::BitValue::One), Outputs); in evaluate()
337 return rr0(RC, Outputs); in evaluate()
345 return rr0(rc(1), Outputs); in evaluate()
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| /external/tensorflow/tensorflow/python/kernel_tests/strings_ops/ |
| D | unicode_transcode_op_test.py | 35 outputs = string_ops.unicode_transcode(
42 values = self.evaluate(outputs)
45 outputs = string_ops.unicode_transcode(
52 values = self.evaluate(outputs)
55 outputs = string_ops.unicode_transcode(
62 values = self.evaluate(outputs)
70 outputs = string_ops.unicode_transcode(
77 values = self.evaluate(outputs)
83 outputs = string_ops.unicode_transcode(
90 values = self.evaluate(outputs)
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| /external/tensorflow/tensorflow/core/tfrt/saved_model/tests/ |
| D | saved_model_test.cc | 75 std::vector<tensorflow::Tensor> outputs; in TEST_P() local
76 TF_ASSERT_OK(saved_model->Run(run_options, "toy", inputs, &outputs)); in TEST_P()
77 ASSERT_EQ(outputs.size(), 1); in TEST_P()
79 EXPECT_THAT(GetTfTensorData<int32_t>(outputs[0]), in TEST_P()
121 std::vector<tensorflow::Tensor> outputs; in TEST() local
122 TF_ASSERT_OK(saved_model->Run(run_options, "toy", inputs, &outputs)); in TEST()
123 ASSERT_EQ(outputs.size(), 1); in TEST()
125 EXPECT_THAT(GetTfTensorData<int32_t>(outputs[0]), in TEST()
156 std::vector<tensorflow::Tensor> outputs; in TEST() local
158 test.GetSavedModel()->Run({}, "serving_default", inputs, &outputs)); in TEST()
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| /external/icu/icu4c/source/layoutex/ |
| D | layoutex.vcxproj | 156 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">..\..\include\layout\%(Filename…
159 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">..\..\include\layout\%(Filename)%…
162 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">..\..\include\layout\%(Filena…
165 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Release|x64'">..\..\include\layout\%(Filename…
170 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">..\..\include\layout\%(Filename…
173 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">..\..\include\layout\%(Filename)%…
176 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">..\..\include\layout\%(Filena…
179 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Release|x64'">..\..\include\layout\%(Filename…
184 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">..\..\include\layout\%(Filename…
187 …<Outputs Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">..\..\include\layout\%(Filename)%…
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| /external/tensorflow/tensorflow/python/compiler/xla/ |
| D | xla.py | 97 3) Operation-only outputs: a NoOp would be returned which
243 # ignore ops which don't have outputs. TODO(phawkins): fix that.
247 array_ops.identity(x.outputs[0]).op
249 if x.outputs
256 # Mark op's outputs as seen by this context and any outer contexts.
257 output_names = [x.name for x in op.outputs]
322 value output 3) Operation-only outputs
324 ValueError: If any element in computation outputs is neither an operations
326 ValueError: If computation outputs is non-flat and contains any Operations.
364 outputs = computation(*computation_inputs)
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| /external/tensorflow/tensorflow/lite/nnapi/sl/public/ |
| D | NeuralNetworksSupportLibraryImpl.h | 355 * Gets the type of tensors used for outputs.
631 * Behavior, arguments, and outputs match NNAPI Runtime function
640 * Behavior, arguments, and outputs match NNAPI Runtime function
649 * outputs match NNAPI Runtime function
659 * Behavior, arguments, and outputs match NNAPI Runtime function
668 * Behavior, arguments, and outputs match NNAPI Runtime function
678 * arguments, and outputs match NNAPI Runtime function
689 * arguments, and outputs match NNAPI Runtime function
700 * arguments, and outputs match NNAPI Runtime function
711 * arguments, and outputs match NNAPI Runtime function
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| /external/tensorflow/tensorflow/cc/client/ |
| D | client_session_test.cc | 81 std::vector<Tensor> outputs; in TEST() local
83 TF_EXPECT_OK(session.Run({c}, &outputs)); in TEST()
84 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({1, 1}, {1, 2})); in TEST()
93 std::vector<Tensor> outputs; in TEST() local
95 TF_EXPECT_OK(session.Run({{a, 1}, {b, 41}}, {c}, &outputs)); in TEST()
96 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({42}, {})); in TEST()
104 std::vector<Tensor> outputs; in TEST() local
106 TF_EXPECT_OK(session.Run({{a, {1, 1}}}, {c}, &outputs)); in TEST()
107 test::ExpectTensorEqual<int>(outputs[0], test::AsTensor<int>({3, 3}, {2})); in TEST()
110 outputs.clear(); in TEST()
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| /external/tensorflow/tensorflow/core/common_runtime/ |
| D | direct_session_test.cc | 144 std::vector<Tensor> outputs; in TEST_F() local
145 Status s = session->Run(inputs, output_names, target_nodes, &outputs); in TEST_F()
148 ASSERT_EQ(1, outputs.size()); in TEST_F()
151 auto mat = outputs[0].matrix<float>(); in TEST_F()
152 ASSERT_TRUE(outputs[0].IsInitialized()); in TEST_F()
170 std::vector<Tensor> outputs; in TEST_F() local
171 TF_ASSERT_OK(session->RunCallable(handle, {}, &outputs, nullptr)); in TEST_F()
173 ASSERT_EQ(1, outputs.size()); in TEST_F()
176 auto mat = outputs[0].matrix<float>(); in TEST_F()
177 ASSERT_TRUE(outputs[0].IsInitialized()); in TEST_F()
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| /external/tensorflow/tensorflow/python/saved_model/ |
| D | signature_def_utils_test.py | 44 def _make_signature(inputs, outputs, name=None): argument
51 for output_name, tensor in outputs.items()
71 outputs = {}
72 outputs["foo-output"] = y_tensor_info
75 inputs, outputs, "foo-method-name")
86 # Check outputs in signature def.
87 self.assertEqual(1, len(signature_def.outputs))
88 y_tensor_info_actual = signature_def.outputs["foo-output"]
114 # Check outputs in signature def.
115 self.assertEqual(1, len(signature_def.outputs))
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| /external/tensorflow/tensorflow/python/ops/ |
| D | cond_v2.py | 111 if_op = op.outputs[0].op
150 # Make outputs match by adding none optionals.
154 true_graph.outputs.extend(extra_true_outputs)
155 false_graph.outputs.extend(extra_false_outputs)
180 outputs = _build_cond(
190 return [None] + outputs
219 A list of Tensors which are the outputs of the If op. Does not include added
220 intermediate outputs.
232 # Add all intermediate tensors as function outputs so they're available for
233 # the gradient computation. Since the outputs of the two functions must
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| D | while_v2.py | 200 outputs = body(
202 if not nest.is_nested(outputs):
203 outputs = [outputs]
207 nest.assert_same_structure(outputs, orig_loop_vars, check_types=False,
212 vars1 = variable_utils.convert_variables_to_tensors(outputs)
216 outputs = _tensor_array_to_flow(outputs)
219 # is_constant=True for inputs that are directly passed to outputs.
220 return [loop_counter + 1, maximum_iterations_arg] + list(outputs)
242 # is_constant=True for inputs that are directly passed to outputs.
243 body_graph.outputs.extend(body_graph.internal_captures)
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| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| D | propagate_array_data_types.cc | 29 for (const auto& output : op->outputs) { in SetDataTypeForAllOutputs()
52 for (const auto& output : op->outputs) { in Run()
58 // These operators unconditionally produce float outputs in Run()
71 // These operators unconditionally produce bool outputs in Run()
75 // These operators only produce int32 outputs. in Run()
110 CHECK_EQ(op->outputs.size(), 1); in Run()
112 model->GetArray(op->outputs[0]).data_type = cast_op->dst_data_type; in Run()
117 CHECK_EQ(op->outputs.size(), 1); in Run()
119 model->GetArray(op->outputs[0]).data_type = argmax_op->output_data_type; in Run()
124 CHECK_EQ(op->outputs.size(), 1); in Run()
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| /external/tensorflow/tensorflow/lite/java/src/test/java/org/tensorflow/lite/ |
| D | NativeInterpreterWrapperTest.java | 140 Map<Integer, Object> outputs = new HashMap<>(); in testRunWithFloat() local
141 outputs.put(0, parsedOutputs); in testRunWithFloat()
142 wrapper.run(inputs, outputs); in testRunWithFloat()
159 Map<Integer, Object> outputs = new HashMap<>(); in testRunWithBufferOutput() local
160 outputs.put(0, parsedOutput); in testRunWithBufferOutput()
161 wrapper.run(inputs, outputs); in testRunWithBufferOutput()
179 Map<Integer, Object> outputs = new HashMap<>(); in testRunWithInputsOfSameDims() local
180 outputs.put(0, parsedOutputs); in testRunWithInputsOfSameDims()
181 wrapper.run(inputs, outputs); in testRunWithInputsOfSameDims()
186 outputs.put(0, parsedOutputs); in testRunWithInputsOfSameDims()
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