- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 18 for shale (0.12 sec)
-
tensorflow/c/c_api_experimental.cc
ShapeHandle shape_handle = c.output(i); TF_ShapeAndType& shape = output_shapes_result->items[i]; shape.num_dims = c.Rank(shape_handle); if (shape.num_dims == InferenceContext::kUnknownRank) { shape.dims = nullptr; continue; } shape.dims = new int64_t[shape.num_dims]; for (size_t j = 0; j < shape.num_dims; ++j) { shape.dims[j] = c.Value(c.Dim(shape_handle, j));
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_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs; const std::vector<int64_t>* shape; Status s = handles[0]->Shape(&shape); ASSERT_TRUE(s.ok()); EXPECT_EQ(0, shape->size()); } TEST(PARALLEL_DEVICE_LIB, TestCancelOnError) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
std::vector<int64_t>* shape_arr = &tf_dlm_tensor_ctx->shape; std::vector<int64_t>* stride_arr = &tf_dlm_tensor_ctx->strides; shape_arr->resize(ndim); stride_arr->resize(ndim, 1); for (int i = 0; i < ndim; i++) { (*shape_arr)[i] = tensor->dim_size(i); } for (int i = ndim - 2; i >= 0; --i) { (*stride_arr)[i] = (*shape_arr)[i + 1] * (*stride_arr)[i + 1]; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
bool found_dtype = false; bool found_shape = false; for (const auto& attr : node_def.attr()) { if (attr.first == "dtype") { if (attr.second.type() == tensorflow::DT_INT32) { found_dtype = true; } else { return false; } } else if (attr.first == "shape") { found_shape = true; } } return found_dtype && found_shape; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/eager/custom_device_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(op.get(), "shape", {}, 0, status.get()); TFE_OpSetAttrString(op.get(), "container", "", 0); TFE_OpSetAttrString(op.get(), "shared_name", "", 0); TFE_OpSetDevice(op.get(), name, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
gtl::ArraySlice<AbstractTensorHandle*> output_gradients, absl::Span<AbstractTensorHandle*> result) const override; // Builds a tensor filled with ones with the same shape and dtype as `t`. Status BuildOnesLike(const TapeTensor& t, AbstractTensorHandle** result) const override; // Looks up the ID of a Gradient.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
// Advance the fake timestamp so that "a" becomes stale via its first block. env->SetNowSeconds(now + 2); // The pruning thread periodically compares env->NowSeconds() with the oldest // block's timestamp to see if it should evict any files. At the current fake // timestamp of `now` + 2, file "a" is stale because its first block is stale, // but file "b" is not stale yet. Thus, once the pruning thread wakes up (in
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_Op* shape_op = ShapeOp(ctx, hgpu); TFE_OpSetDevice(shape_op, gpu_device_name.c_str(), status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_TensorHandle* retvals[1]; int num_retvals = 1; TFE_Execute(shape_op, &retvals[0], &num_retvals, status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
absl::MutexLock lock(&mu_); auto entry = block_map_.find(key); if (entry != block_map_.end()) { if (BlockNotStale(entry->second)) { return entry->second; } else { // Remove the stale block and continue. RemoveFile_Locked(key.first); } } // Insert a new empty block, setting the bookkeeping to sentinel values // in order to update them as appropriate.
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
if (combined_shape.dims() < 0 || combined_shape.dims() != component_shape.dims()) { PartialTensorShape first_shape; TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&first_shape)); return errors::Unimplemented(absl::StrCat( "Computing the shape of a ParallelTensor when the components do " "not all have the same rank is not supported. One tensor had " "shape ",
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)