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Results 1 - 10 of 75 for X_dims (0.19 sec)
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tensorflow/c/experimental/gradients/nn_grad_test.cc
float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 10.0f, -1.0f}; int64_t X_dims[] = {3, 3}; AbstractTensorHandlePtr X; { AbstractTensorHandle* X_raw; status_ = TestTensorHandleWithDims<float, TF_FLOAT>( immediate_execution_ctx_.get(), X_vals, X_dims, 2, &X_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); X.reset(X_raw); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
EXPECT_EQ(2, num_dims); // Resize the dimension vector appropriately. int64_t returned_dims[2]; TF_GraphGetTensorShape(graph, feed_out_0, returned_dims, num_dims, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ(dims[0], returned_dims[0]); EXPECT_EQ(dims[1], returned_dims[1]); // Set to a new valid shape: [2, 3] dims[1] = 3;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
num_dims_i, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), ".")); } if (num_dims_i < 0) { proto[i].set_unknown_rank(true); } else { const int64_t* dims_i = dims[i]; auto proto_i = &proto[i]; for (int d = 0; d < num_dims_i; ++d) { proto_i->add_dim()->set_size(dims_i[d]); } } }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.cc
const int64_t* dims, int num_dims) { DCHECK(index >= 0 && index < shape_list->num_items); 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];
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
num_dims_i, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), ".")); } if (num_dims_i < 0) { proto[i].set_unknown_rank(true); } else { const int64_t* dims_i = dims[i]; auto proto_i = &proto[i]; for (int d = 0; d < num_dims_i; ++d) { proto_i->add_dim()->set_size(dims_i[d]); } } }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
} TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values) { int64_t num_values = 1; for (int i = 0; i < num_dims; ++i) { num_values *= dims[i]; } TF_Tensor* t = TF_AllocateTensor(TF_INT8, dims, num_dims, sizeof(char) * num_values); memcpy(TF_TensorData(t), values, sizeof(char) * num_values); return t; } TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
absl::Span<const int64_t> dims, double abs_error) { TF_Tensor* analytical_tensor; auto s = GetValue(t, &analytical_tensor); ASSERT_EQ(errors::OK, s.code()) << s.message(); int64_t num_elem_analytical = 1; auto num_dims_analytical = TF_NumDims(analytical_tensor); ASSERT_EQ(dims.size(), num_dims_analytical); for (int j = 0; j < num_dims_analytical; j++) {
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out}; Range(&vals, 0, num_dims_out); AbstractTensorHandle* sum_dims_raw = nullptr; TF_RETURN_IF_ERROR(TestTensorHandleWithDims<int32_t, TF_INT32>( ctx, vals.data(), vals_shape, 1, &sum_dims_raw)); sum_dims.reset(sum_dims_raw); }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad_test.cc
GTEST_SKIP(); float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f}; int64_t A_dims[] = {3, 3}; AbstractTensorHandlePtr A; { AbstractTensorHandle* A_raw; status_ = TestTensorHandleWithDims<float, TF_FLOAT>( immediate_execution_ctx_.get(), A_vals, A_dims, 2, &A_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); A.reset(A_raw); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get())); AbstractTensorHandle* expand_dims_outputs; TF_RETURN_IF_ERROR( ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims")); TF_RETURN_IF_ERROR( ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul")); expand_dims_outputs->Unref(); return absl::OkStatus(); } class SparseSoftmaxCrossEntropyWithLogitsGradientFunction
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)