/external/tensorflow/tensorflow/lite/kernels/ |
D | pad_test.cc | 346 template <typename integer_type, TensorType tensor_dtype> 351 PadOpConstModel m({tensor_dtype, {1, 2, 2, 1}, 1.0, 2.0}, {4, 2}, in ZeroNotInQuantizationRange() 352 {0, 0, 1, 1, 1, 1, 0, 0}, {tensor_dtype, {}, 1.0, 2.0}), in ZeroNotInQuantizationRange() 367 template <typename integer_type, TensorType tensor_dtype> 373 const float kMax = tensor_dtype == TensorType_INT16 ? 32767.f / 32768.f : 1.f; in SimpleConstTest() 375 PadOpConstModel m({tensor_dtype, {1, 2, 2, 1}, kMin, kMax}, {4, 2}, in SimpleConstTest() 376 {0, 0, 1, 1, 1, 1, 0, 0}, {tensor_dtype, {}, kMin, kMax}); in SimpleConstTest() 396 template <typename integer_type, TensorType tensor_dtype> 399 const float kMax = tensor_dtype == TensorType_INT16 ? 32767.f / 32768.f : 1.f; in SimpleDynamicTest() 401 PadOpDynamicModel m({tensor_dtype, {1, 2, 2, 1}, kMin, kMax}, {4, 2}, in SimpleDynamicTest() [all …]
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D | reduce_test.cc | 431 template <typename integer_type, TensorType tensor_dtype> 435 MeanOpConstModel m({tensor_dtype, {1, 1, 2, 4}, -255.0, 255.0}, in MeanOpConstModelTest() 436 {tensor_dtype, {1, 2, 4}, -255, 255.0}, {1}, {1}, false); in MeanOpConstModelTest() 454 template <typename integer_type, TensorType tensor_dtype> 458 MeanOpConstModel m({tensor_dtype, {1, 1, 2, 4}, -1.0, 1.0}, in ConstMeanOpTestNonSameScale() 459 {tensor_dtype, {1, 2}, -5.0, 5.0}, {2}, {1, 3}, false); in ConstMeanOpTestNonSameScale() 478 template <typename integer_type, TensorType tensor_dtype> 485 MeanOpConstModel m({tensor_dtype, {1, 2, 2, 9}, -1.0, 1.0}, in MeanOpTestQuantizedSameScale() 486 {tensor_dtype, {2}, -1.0, 1.0}, {2}, {1, 2}, true); in MeanOpTestQuantizedSameScale() 506 template <typename integer_type, TensorType tensor_dtype> [all …]
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/external/tensorflow/tensorflow/lite/delegates/hexagon/builders/tests/ |
D | arg_min_max_test.cc | 77 template <typename integer_type, TensorType tensor_dtype> 79 ArgMinOpModel model({1, 1, 1, 4}, tensor_dtype); in ArgMinTestImpl() 83 if (tensor_dtype == TensorType_UINT8) { in ArgMinTestImpl() 93 template <typename integer_type, TensorType tensor_dtype> 95 ArgMinOpModel model({1, 1, 2, 4}, tensor_dtype); in ArgMinNegativeTestImpl() 99 if (tensor_dtype == TensorType_UINT8) { in ArgMinNegativeTestImpl() 110 template <typename integer_type, TensorType tensor_dtype> 112 ArgMaxOpModel model({1, 1, 1, 4}, tensor_dtype); in ArgMaxTestImpl() 116 if (tensor_dtype == TensorType_UINT8) { in ArgMaxTestImpl()
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D | activations_test.cc | 81 template <typename integer_type, TensorType tensor_dtype> 86 /*input=*/{tensor_dtype, {1, 3}, kMin, kMax}, in ReluTestImpl() 87 /*output=*/{tensor_dtype, {1, 3}, kMin, kMax}); in ReluTestImpl() 97 template <typename integer_type, TensorType tensor_dtype> 102 /*input=*/{tensor_dtype, {1, 3}, kMin, kMax}, in Relu6TestImpl() 103 /*output=*/{tensor_dtype, {1, 3}, kMin, kMax}); in Relu6TestImpl() 113 template <typename integer_type, TensorType tensor_dtype> 119 /*input=*/{tensor_dtype, {1, 3}, 8 * kMin, 8 * kMax}, in TanhTestImpl() 120 /*output=*/{tensor_dtype, {1, 3}, kMin, kMax}); in TanhTestImpl() 130 template <typename integer_type, TensorType tensor_dtype> [all …]
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D | split_test.cc | 57 template <typename integer_type, TensorType tensor_dtype> 72 SplitOpModel const_m({tensor_dtype, input_shape, kMin, kMax}, in CheckSplitBehavior() 73 {tensor_dtype, output_shape, kMin, kMax}, num_splits, in CheckSplitBehavior() 87 template <typename integer_type, TensorType tensor_dtype> 89 CheckSplitBehavior<integer_type, tensor_dtype>( in CheckFourDimSplitImpl() 96 CheckSplitBehavior<integer_type, tensor_dtype>( in CheckFourDimSplitImpl() 103 CheckSplitBehavior<integer_type, tensor_dtype>( in CheckFourDimSplitImpl() 110 CheckSplitBehavior<integer_type, tensor_dtype>( in CheckFourDimSplitImpl()
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D | concat_test.cc | 85 template <typename integer_type, TensorType tensor_dtype> 87 QuantizedConcatenationOpModel m0({{tensor_dtype, {2, 1, 1, 2}, -12.7, 12.8}, in FourInputsQuantizedSameRangeImpl() 88 {tensor_dtype, {2, 1, 1, 2}, -12.7, 12.8}, in FourInputsQuantizedSameRangeImpl() 89 {tensor_dtype, {2, 1, 1, 2}, -12.7, 12.8}, in FourInputsQuantizedSameRangeImpl() 90 {tensor_dtype, {2, 1, 1, 2}, -12.7, 12.8}}, in FourInputsQuantizedSameRangeImpl() 91 /*axis=*/3, {tensor_dtype, {}, -12.7, 12.8}); in FourInputsQuantizedSameRangeImpl() 115 template <typename integer_type, TensorType tensor_dtype> 119 QuantizedConcatenationOpModel m0({{tensor_dtype, in TwoInputsNegativeAxisImpl() 123 {tensor_dtype, in TwoInputsNegativeAxisImpl() 128 {tensor_dtype, in TwoInputsNegativeAxisImpl()
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D | pad_test.cc | 61 template <typename integer_type, TensorType tensor_dtype> 66 PadOpConstModel m({tensor_dtype, {1, 2, 2, 1}, -1.0, 1.0}, {4, 2}, in SimpleConstTestImpl() 67 {0, 0, 1, 1, 1, 1, 0, 0}, {tensor_dtype, {}, -1.0, 1.0}); in SimpleConstTestImpl() 77 template <typename integer_type, TensorType tensor_dtype> 80 PadOpConstModel m({tensor_dtype, {1, 2, 3, 1}, -1.0, 1.0}, {4, 2}, in AdvancedConstTestImpl() 81 {0, 0, 0, 2, 1, 3, 0, 0}, {tensor_dtype, {}, -1.0, 1.0}); in AdvancedConstTestImpl()
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/external/tensorflow/tensorflow/python/framework/ |
D | tensor_util.py | 594 tensor_dtype = dtypes.as_dtype(tensor.dtype) 595 dtype = tensor_dtype.as_numpy_dtype 601 if tensor_dtype == dtypes.string: 610 if tensor_dtype == dtypes.float16 or tensor_dtype == dtypes.bfloat16: 614 values.dtype = tensor_dtype.as_numpy_dtype 615 elif tensor_dtype == dtypes.float32: 617 elif tensor_dtype == dtypes.float64: 619 elif tensor_dtype in [ 624 elif tensor_dtype == dtypes.int64: 626 elif tensor_dtype == dtypes.uint32: [all …]
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/external/tensorflow/tensorflow/lite/delegates/nnapi/ |
D | nnapi_delegate_test.cc | 5237 template <typename integer_type, TensorType tensor_dtype> 5242 {tensor_dtype, {1, 2, 2, 1}, -1.0, 1.0}, {4, 2}, {0, 0, 1, 1, 1, 1, 0, 0}, in SimpleConstTestV2() 5243 {tensor_dtype, {1}, -1.0, 1.0}, {tensor_dtype, {}, -1.0, 1.0}); in SimpleConstTestV2() 5261 template <typename integer_type, TensorType tensor_dtype> 5263 PadV2OpDynamicModel<integer_type> m({tensor_dtype, {1, 2, 2, 1}, -1.0, 1.0}, in SimpleDynamicTestV2() 5264 {4, 2}, {tensor_dtype, {1}, -1.0, 1.0}, in SimpleDynamicTestV2() 5265 {tensor_dtype, {}, -1.0, 1.0}); in SimpleDynamicTestV2() 5284 template <typename integer_type, TensorType tensor_dtype> 5287 {tensor_dtype, {1, 2, 3, 1}, -1.0, 1.0}, {4, 2}, {0, 0, 0, 2, 1, 3, 0, 0}, in AdvancedConstTestV2() 5288 {tensor_dtype, {1}, -1.0, 1.0}, {tensor_dtype, {}, -1.0, 1.0}); in AdvancedConstTestV2() [all …]
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/external/tensorflow/tensorflow/core/debug/ |
D | debug_io_utils.cc | 64 const DataType& tensor_dtype, in PrepareChunkEventProto() argument 105 value->mutable_tensor()->set_dtype(tensor_dtype); in PrepareChunkEventProto()
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/external/tensorflow/tensorflow/python/ops/ |
D | array_ops.py | 3128 tensor_dtype = tensor.dtype 3131 if dtype is not None and dtype != tensor_dtype: 3140 tensor_dtype != dtypes.variant): 3143 return zeros(tensor_shape, dtype=dtype or tensor_dtype, name=name) 3145 if dtype is not None and dtype != tensor_dtype and dtype != dtypes.variant:
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D | math_ops.py | 4071 def accumulate_n(inputs, shape=None, tensor_dtype=None, name=None): argument 4141 if tensor_dtype is not None and tensor_dtype != inputs[0].dtype:
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.math.pbtxt | 13 …argspec: "args=[\'inputs\', \'shape\', \'tensor_dtype\', \'name\'], varargs=None, keywords=None, d…
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D | tensorflow.pbtxt | 733 …argspec: "args=[\'inputs\', \'shape\', \'tensor_dtype\', \'name\'], varargs=None, keywords=None, d…
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.math.pbtxt | 13 …argspec: "args=[\'inputs\', \'shape\', \'tensor_dtype\', \'name\'], varargs=None, keywords=None, d…
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