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tensorflow/c/eager/tape.h
// is used as an input to an op (so we know when we're done computing gradients // for that Tensor). We also count, for each tape entry, how many of its output // Tensors need gradients to be computed (Tensors which are not used do not need // any gradients to be computed). // // Finally, we start a backprop stack with a set of tape entries for which we // have all gradients available. This set usually is a subset of the set of
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/c_api_test.cc
class TestUnavailableErrorOp : public tensorflow::OpKernel { public: explicit TestUnavailableErrorOp(tensorflow::OpKernelConstruction* ctx) : tensorflow::OpKernel(ctx) {} void Compute(tensorflow::OpKernelContext* ctx) override { ctx->SetStatus(tensorflow::errors::Unavailable("Test error.")); } }; REGISTER_KERNEL_BUILDER( Name("TestNonCommUnavailable").Device(tensorflow::DEVICE_DEFAULT),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/c_api_test.cc
TF_DeleteBuffer(op_list_buf); } class DummyKernel : public tensorflow::OpKernel { public: explicit DummyKernel(tensorflow::OpKernelConstruction* context) : OpKernel(context) {} void Compute(tensorflow::OpKernelContext* context) override {} }; // Test we can query kernels REGISTER_OP("TestOpWithSingleKernel") .Input("a: float") .Input("b: float") .Output("o: float");
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_Message(first_bad_status.get())); return result; } // For each output of the original operation, pack the per-device // TensorHandles we've computed into a single parallel TensorHandle. std::vector<std::unique_ptr<ParallelTensor>> per_device_outputs; per_device_outputs.reserve(first_op_output_count); for (int i = 0; i < first_op_output_count; ++i) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/c_test.c
TF_Status* s = TF_NewStatus(); TF_OpKernelConstruction_GetAttrType(ctx, "foobar", &type, s); TF_DeleteStatus(s); return NULL; } // A compute function. This will never actually get called in this test, it's // just nice to know that it compiles. void compute(void* kernel, TF_OpKernelContext* ctx) { TF_Tensor* input; TF_Status* s = TF_NewStatus(); TF_GetInput(ctx, 0, &input, s); TF_DeleteTensor(input);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
: forward_outputs_(f_outputs) { for (auto output : forward_outputs_) { if (output) { output->Ref(); } } } Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { 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) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
- The choice of symbol is arbitrary. The static address we obtain - by constructing a non GOT reference to the symbol, the dynamic - address of the symbol we compute using adrp/add to compute the - symbol's address relative to the PC. */ - - ElfW(Addr) static_addr; - ElfW(Addr) dynamic_addr; - - asm (" \n\ - adrp %1, _dl_start; \n\
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// Struct to be filled in to define a custom device tensor handle. Fields are // required except where indicated. typedef struct TFE_CustomDeviceTensorHandleMethods { int version = TFE_CUSTOM_DEVICE_VERSION; // Computes the rank of the tensor handle. // // Shapes are specified via callbacks because retrieving the shape of a tensor // is a blocking operation for async eager; custom devices should avoid
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
ci/official/wheel_test/update_requirements.sh
# Move the updated file to the appropriate directory mv "$REQUIREMENTS_LOCK_FILE" ../wheel_test/
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 31 18:17:57 GMT 2023 - 1.9K bytes - Viewed (0) -
RELEASE.md
* TF Core: * Corrected higher-order gradients of control flow constructs (`tf.cond`, `tf.while_loop`, and compositions like `tf.foldl`) computed with `tf.GradientTape` inside a `tf.function`. * Changed the default step size in `gradient_checker_v2.compute_gradients` to be exactly representable as a binary floating point numbers. This
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)