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tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle*> outputs, bool use_function); Status BuildImmediateExecutionContext(bool use_tfrt, AbstractContext** ctx); // Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype> Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data, const int64_t* dims, int num_dims,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
// Sets the operation device name. // // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and // the result will be used as a constraint for device placement. See the // documentation for DeviceName for more details. // // The value will override the previous value - that is, no "merging" of // existing and given constraints will be performed. virtual Status SetDeviceName(const char* name) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { /* Given upstream grad U and a BiasAdd: A + bias, the gradients are: * * dA = U * dbias = reduceSum(U, dims = channel_dim) */ AbstractTensorHandle* upstream_grad = grad_outputs[0];
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
TF_Bool include_output_tensor_values, TF_Status* s); // Get the size of input OpInfo::TensorProperties given node name. TF_CAPI_EXPORT extern void TF_GetInputPropertiesListSize( TF_GraphProperties* graph_properties, const char* name, int* num_values, TF_Status* status); // Get the size of output OpInfo::TensorProperties given node name. TF_CAPI_EXPORT extern void TF_GetOutputPropertiesListSize(
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s)); } TF_AbstractFunction* TF_FinalizeFunction(TF_ExecutionContext* ctx,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TF_CAPI_EXPORT extern void TFE_ContextOptionsSetConfig( TFE_ContextOptions* options, const void* proto, size_t proto_len, TF_Status* status); // Controls how to act when we try to run an operation on a given device but // some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
ci/official/containers/linux_arm64/setup.packages.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # # setup.packages.sh: Given a list of Ubuntu packages, install them and clean up. # Usage: setup.packages.sh <package_list.txt> set -e # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 00:26:34 GMT 2023 - 1.1K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.h
#include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/eager/unified_api_testutil.h" namespace tensorflow { namespace gradients { /* Returns numerical grad inside `dtheta_approx` given `forward` model and * parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. *
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# targets. license_query() { bazel cquery --experimental_cc_shared_library "$1" --keep_going \ | grep -e "^//" -e "^@" \ | grep -E -v "^//tensorflow" \ | sed -e 's|:.*||' \ | sort -u } # Verify that, given a build target and a license-list generator target, all of # the dependencies of that target which include a license notice file are then # included when generating that license. Necessary because the license targets
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 12.7K bytes - Viewed (0) -
.github/bot_config.yml
Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below: * Try Google Colab to use TensorFlow.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0)