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Results 1 - 3 of 3 for negative (0.21 sec)
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tensorflow/c/c_api_experimental.cc
TF_ShapeAndType& shape = shape_list->items[index]; DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!"; DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!"; shape.num_dims = num_dims; shape.dims = new int64_t[num_dims]; memcpy(shape.dims, dims, sizeof(int64_t) * num_dims); } void TF_ShapeAndTypeListSetUnknownShape(TF_ShapeAndTypeList* shape_list,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); TensorHandlePtr negative_one_cpu(FloatTensorHandle(3., status.get())); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); components[0] = negative_one_cpu.get(); components[1] = negative_one_cpu.get(); TensorHandlePtr first_negative_one = CreatePerDeviceValues( context.get(), components, first_device_name, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/math_grad.cc
* dA = U * dB = -U * */ // Grad for A DCHECK(grad_outputs[0]); grad_inputs[0] = grad_outputs[0]; grad_inputs[0]->Ref(); // Grad for B // negate the upstream grad std::string name = "Neg_Sub_Grad_B"; TF_RETURN_IF_ERROR( ops::Neg(ctx, grad_outputs[0], &grad_inputs[1], name.c_str())); return absl::OkStatus(); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0)