/external/tensorflow/tensorflow/c/eager/ |
D | gradient_checker.cc | 188 TF_Tensor* grad_tensor; in CalcNumericalGrad() local 189 TF_RETURN_IF_ERROR(GetValue(diff_quotient.get(), &grad_tensor)); in CalcNumericalGrad() 191 memcpy(&grad_data[0], TF_TensorData(grad_tensor), in CalcNumericalGrad() 192 TF_TensorByteSize(grad_tensor)); in CalcNumericalGrad() 193 TF_DeleteTensor(grad_tensor); in CalcNumericalGrad()
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D | tape.h | 999 Gradient* grad_tensor = grad[grad_index]; in ForwardpropFromTape() local 1000 if (grad_tensor != nullptr) { in ForwardpropFromTape() 1001 int64_t tensor_id = vspace_.TensorId(grad_tensor); in ForwardpropFromTape() 1005 tensor_id, vspace_.TapeTensorFromGradient(grad_tensor)); in ForwardpropFromTape()
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/external/tensorflow/tensorflow/core/kernels/ |
D | conditional_accumulator.h | 119 const Tensor* grad_tensor; in GetAndValidateTensorInputForApplyGrad() local 120 OP_REQUIRES_OK_BOOLEAN(ctx, ctx->input("gradient", &grad_tensor)); in GetAndValidateTensorInputForApplyGrad() 121 *tensor = grad_tensor; in GetAndValidateTensorInputForApplyGrad()
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/external/tensorflow/tensorflow/compiler/tests/ |
D | concat_ops_test.py | 145 grad_tensor = constant_op.constant( 147 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 172 grad_tensor = constant_op.constant( 174 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 200 grad_tensor = constant_op.constant( 202 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 237 grad_tensor = constant_op.constant( 239 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor])
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/external/tensorflow/tensorflow/python/kernel_tests/array_ops/ |
D | concat_op_test.py | 213 grad_tensor = constant_op.constant( 215 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 242 grad_tensor = constant_op.constant( 244 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 270 grad_tensor = constant_op.constant( 272 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 301 grad_tensor = constant_op.constant(grad_inp.flatten(), shape=output_shape) 302 grad = gradients_impl.gradients([c], inp_tensors, [grad_tensor]) 322 grad_tensor = constant_op.constant( 325 grad = gradients_impl.gradients([c], [x, y], [grad_tensor]) [all …]
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D | shape_ops_test.py | 571 grad_tensor = constant_op.constant( 573 grad = gradients_impl.gradients([tiled], [a], [grad_tensor])[0] 587 grad_tensor = constant_op.constant( 589 grad = gradients_impl.gradients([tiled], [a], [grad_tensor])[0] 607 grad_tensor = constant_op.constant( 609 grad = gradients_impl.gradients([tiled], [a], [grad_tensor])[0] 622 grad_tensor = constant_op.constant( 624 grad = gradients_impl.gradients([tiled], [a], [grad_tensor])[0]
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D | slice_op_test.py | 331 grad_tensor = constant_op.constant(grads) 332 grad = gradients_impl.gradients(slice_t, [a], grad_tensor)[0] 356 grad_tensor = constant_op.constant(grads) 357 grad = tape.gradient(slice_t, [a], grad_tensor)[0]
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/external/tensorflow/tensorflow/core/kernels/mkl/ |
D | mkl_avgpooling_op.cc | 191 const Tensor& grad_tensor = in Compute() local 229 : is_pool2d ? TFShapeToMklDnnDimsInNCHW(grad_tensor.shape(), in Compute() 231 : TFShapeToMklDnnDimsInNCDHW(grad_tensor.shape(), in Compute() 278 grad_dnn_data.SetUsrMem(diff_dst_md, &grad_tensor); in Compute() 285 static_cast<T*>(const_cast<T*>(grad_tensor.flat<T>().data())); in Compute()
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D | mkl_maxpooling_op.cc | 245 const Tensor& grad_tensor = in Compute() local 281 : is_pool2d ? TFShapeToMklDnnDimsInNCHW(grad_tensor.shape(), in Compute() 283 : TFShapeToMklDnnDimsInNCDHW(grad_tensor.shape(), in Compute() 327 grad_dnn_data.SetUsrMem(diff_dst_md, &grad_tensor); in Compute() 334 static_cast<T*>(const_cast<T*>(grad_tensor.flat<T>().data())); in Compute()
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/external/pytorch/torch/distributed/algorithms/ddp_comm_hooks/ |
D | optimizer_overlap_hooks.py | 147 for grad_tensor, model_param in zip(gradient_tensors, model_params): 154 grad_tensor,
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/external/tensorflow/tensorflow/python/ops/ |
D | image_grad_test_base.py | 171 grad_tensor = tape.gradient(resized_tensor, input_tensor) 172 self.assertEqual(in_shape, list(grad_tensor.get_shape())) 176 grad_values = self.evaluate(grad_tensor)
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/external/tensorflow/tensorflow/python/eager/ |
D | forwardprop_test.py | 409 grad_tensor = constant_op.constant(array_ops.zeros([100])) 410 grad_tensor_weak = weakref.ref(grad_tensor) 411 with forwardprop.ForwardAccumulator(x, grad_tensor) as acc: 413 del grad_tensor
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/external/pytorch/test/profiler/ |
D | test_memory_profiler.py | 103 grad_tensor: torch.Tensor, 121 if node.tag == ctx and key_matches_tensor(p_grad_key, grad_tensor):
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/external/pytorch/test/ |
D | test_expanded_weights.py | 154 grad_tensor = torch.randn(4, requires_grad=True, device=device) 159 set_grad_sample_if_exists(grad_tensor, test_fn)
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D | test_nn.py | 5514 grad_tensor = torch.rand(grid.shape, device=device) 5517 grad_tensor_cl = grad_tensor.contiguous(memory_format=memory_format_cl) 5524 grid.backward(grad_tensor)
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