/aosp_15_r20/external/tensorflow/tensorflow/examples/speech_commands/ |
H A D | models.py | 92 is_training, runtime_settings=None): argument 160 def create_single_fc_model(fingerprint_input, model_settings, is_training): argument 203 def create_conv_model(fingerprint_input, model_settings, is_training): argument 330 is_training): argument 459 is_training, runtime_settings): argument 669 def create_tiny_conv_model(fingerprint_input, model_settings, is_training): argument 762 is_training): argument
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/aosp_15_r20/external/tensorflow/tensorflow/core/kernels/mkl/ |
H A D | mkl_fused_batch_norm_op_test.cc | 81 const bool is_training, const GraphRunner& run, in VerifyTensorsClose() 226 const bool is_training) { in VerifyFusedBatchNorm() 232 Tensor* batch_mean, Tensor* batch_var) { in VerifyFusedBatchNorm() 278 Tensor* batch_mean, Tensor* batch_var) { in VerifyFusedBatchNorm() 482 const bool is_training = true; in TYPED_TEST_P() local 488 const bool is_training = true; in TYPED_TEST_P() local 494 const bool is_training = false; in TYPED_TEST_P() local 500 const bool is_training = false; in TYPED_TEST_P() local
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/aosp_15_r20/external/tensorflow/tensorflow/core/kernels/ |
H A D | fused_batch_norm_ex_op_test.cc | 140 const TensorFormat data_format, bool is_training, in RunFusedBatchNorm() 228 const TensorFormat data_format, bool is_training, in RunFusedBatchNormEx() 358 TensorFormat data_format, bool is_training, in VerifyTensorsNear() 449 TensorFormat data_format, bool is_training, in VerifyFusedBatchNormEx() 572 TensorFormat data_format, bool is_training, in FusedBatchNormEx()
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H A D | fused_batch_norm_op_test.cc | 225 bool is_training, in FusedBatchNormInference() 261 static Graph* FusedBatchNormGrad(int n, int h, int w, int c, bool is_training, in FusedBatchNormGrad()
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H A D | cudnn_rnn_ops.cc | 155 bool has_dropout, bool is_training, RnnMode rnn_mode, in CudnnRnnParameters() 795 const bool is_training, in DoForward() 1581 bool is_training() const { return is_training_; } in is_training() function in tensorflow::CudnnRNNForwardOp
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/aosp_15_r20/external/tensorflow/tensorflow/python/ops/ |
H A D | nn_fused_batchnorm_test.py | 230 is_training=True): argument 293 is_training=True, argument 389 def _runtests(self, x_shape, is_training, gradient_test=False, argument
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/aosp_15_r20/external/pytorch/benchmarks/dynamo/ |
H A D | timm_models.py | 349 def pick_grad(self, name, is_training): argument 358 def get_tolerance_and_cosine_flag(self, is_training, current_device, name): argument
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H A D | huggingface.py | 485 def pick_grad(self, name, is_training): argument 491 def get_tolerance_and_cosine_flag(self, is_training, current_device, name): argument
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H A D | torchbench.py | 399 def pick_grad(self, name, is_training): argument 408 def get_tolerance_and_cosine_flag(self, is_training, current_device, name): argument
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/aosp_15_r20/external/tensorflow/tensorflow/cc/gradients/ |
H A D | nn_grad.cc | 400 bool is_training) { in FusedBatchNormGradAttrs() 434 bool is_training; in BaseFusedBatchNormGrad() local 494 std::vector<Output>* grad_outputs) { in FusedBatchNormV3Grad()
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/aosp_15_r20/external/tensorflow/tensorflow/compiler/xla/stream_executor/ |
H A D | dnn.h | 1173 DeviceMemory<float>* reserve_space_2, bool is_training, in DoBatchNormalizationForward() 1193 DeviceMemory<float>* reserve_space_2, bool is_training, in DoBatchNormalizationForward() 2128 bool is_training, in DoRnnForward() 2150 bool is_training, in DoRnnForward() 2172 bool is_training, in DoRnnForward()
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H A D | stream.cc | 339 bool is_training, ScratchAllocator *reserve_space_allocator, in ThenBatchNormalizationForward() 393 bool is_training, ScratchAllocator *reserve_space_allocator, in ThenBatchNormalizationForward() 2045 DeviceMemory<Eigen::half> *output_c_data, bool is_training, in ThenRnnForward() 2080 DeviceMemory<float> *output_c_data, bool is_training, in ThenRnnForward() 2116 DeviceMemory<double> *output_c_data, bool is_training, in ThenRnnForward()
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/aosp_15_r20/external/pytorch/torch/ao/quantization/fx/ |
H A D | pattern_utils.py | 67 is_training, argument
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/aosp_15_r20/external/pytorch/torch/csrc/jit/passes/ |
H A D | remove_dropout.cpp | 16 const bool is_training = val.toBool(); in isDropoutRemovable() local
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/aosp_15_r20/external/tensorflow/tensorflow/python/distribute/ |
H A D | zero_batch_test.py | 56 def step_fn(is_training, inputs, targets=None): argument
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/aosp_15_r20/external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/ |
H A D | tpu_update_embedding_enqueue_op_inputs.cc | 115 bool is_training = send_gradient_op_map.count(embedding_attr); in UpdateEmbeddingEnqueueOpInput() local
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/aosp_15_r20/external/tensorflow/tensorflow/core/grappler/optimizers/ |
H A D | remapper.cc | 1537 bool is_training = false; in FindMklLayerNorm() local 1593 bool is_training = true; in FindFusedBatchNorm() local 1678 bool is_training; in FindFusedBatchNormEx() local 1799 bool is_training; in FindFusedBatchNormGradEx() local 3353 bool is_training = true; in RequiresInferredShapes() local
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/aosp_15_r20/external/tensorflow/tensorflow/python/compiler/tensorrt/test/ |
H A D | quantization_mnist_test.py | 190 def _Run(self, is_training, use_trt, batch_size, num_epochs, model_dir): argument
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/aosp_15_r20/external/pytorch/torch/csrc/jit/mobile/model_tracer/ |
H A D | TracerRunner.cpp | 100 bool is_training = false; in call_dependent_methods() local
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/aosp_15_r20/external/tensorflow/tensorflow/stream_executor/rocm/ |
H A D | rocm_dnn.cc | 2149 DeviceMemory<T>* output_c_data, bool is_training, in DoRnnForwardImpl() 2646 DeviceMemory<Eigen::half>* output_c_data, bool is_training, in DoRnnForward() 2689 DeviceMemory<float>* output_c_data, bool is_training, in DoRnnForward() 2733 DeviceMemory<double>* output_c_data, bool is_training, in DoRnnForward() 3648 bool is_training, ScratchAllocator* reserve_space_allocator, in DoBatchNormalizationForward() 3668 bool is_training, ScratchAllocator* reserve_space_allocator, in DoBatchNormalizationForward() 3690 bool is_training) { in DoBatchNormalizationForwardImpl()
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/aosp_15_r20/external/pytorch/torch/csrc/jit/mobile/ |
H A D | module.cpp | 222 bool Module::is_training() const { in is_training() function in torch::jit::mobile::Module
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/aosp_15_r20/external/tensorflow/tensorflow/core/ops/ |
H A D | nn_ops_test.cc | 185 string data_format) { in TEST()
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/aosp_15_r20/external/tensorflow/tensorflow/compiler/xla/stream_executor/cuda/ |
H A D | cuda_dnn.cc | 1943 DeviceMemory<T>* output_c_data, bool is_training, in DoRnnForwardImpl() 2484 DeviceMemory<Eigen::half>* output_c_data, bool is_training, in DoRnnForward() 2527 DeviceMemory<float>* output_c_data, bool is_training, in DoRnnForward() 2571 DeviceMemory<double>* output_c_data, bool is_training, in DoRnnForward() 5419 bool is_training, ScratchAllocator* reserve_space_allocator, in DoBatchNormalizationForward() 5443 bool is_training, ScratchAllocator* reserve_space_allocator, in DoBatchNormalizationForward() 5468 bool is_training, ScratchAllocator* reserve_space_allocator, in DoBatchNormalizationForwardImpl()
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/aosp_15_r20/external/pytorch/torch/csrc/api/src/nn/ |
H A D | module.cpp | 250 bool Module::is_training() const noexcept { in is_training() function in torch::nn::Module
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/aosp_15_r20/external/pytorch/torch/_dynamo/variables/ |
H A D | nn_module.py | 200 def is_training(self, tx): member in NNModuleVariable
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