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tensorflow/c/eager/c_api.cc
attr_name, static_cast<const char*>(value), length); if (!s.ok()) { LOG(WARNING) << "Unable to set attribute: " << attr_name; } } void TFE_OpSetAttrInt(TFE_Op* op, const char* attr_name, int64_t value) { auto s = tensorflow::unwrap(op)->SetAttrInt(attr_name, value); if (!s.ok()) { LOG(WARNING) << "Unable to set attribute: " << attr_name; } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/c_api_test_util.cc
const string dev_name(TF_DeviceListName(devices, i, status.get())); CHECK_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get()); if (dev_type == device_type) { *device_name = dev_name; LOG(INFO) << "Found " << device_type << " device " << *device_name; TF_DeleteDeviceList(devices); return true; } } TF_DeleteDeviceList(devices); return false; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/experimental/gradients/math_grad.cc
absl::Span<AbstractTensorHandle*> grad_inputs) override { // TODO(vnvo2409): Add control dependency /* Given upstream grad U and a Log1p op: Y = log(1 + X), the gradients are: * * dX = U / (1 + X) * */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; AbstractTensorHandle* X = forward_inputs_[0];
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)