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Results 1 - 10 of 79 for zipsum (0.17 sec)
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src/cmd/go/internal/modfetch/coderepo_test.go
if needHash { sum, err := dirhash.HashZip(zipfile, dirhash.Hash1) if err != nil { t.Errorf("repo.Zip(%q): %v", tt.version, err) } else if sum != tt.zipSum { t.Errorf("repo.Zip(%q): got file with sum %q, want %q", tt.version, sum, tt.zipSum) } else if zipFileHash := hex.EncodeToString(h.Sum(nil)); zipFileHash != tt.zipFileHash {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 18 20:10:14 UTC 2023 - 29.4K bytes - Viewed (0) -
src/cmd/go/internal/modfetch/zip_sum_test/zip_sum_test.go
) const zipSumsPath = "testdata/zip_sums.csv" type zipSumTest struct { m module.Version wantSum, wantFileHash string } func TestZipSums(t *testing.T) { if !*enableZipSum { // This test is very slow and heavily dependent on external repositories. // Only run it explicitly. t.Skip("TestZipSum not enabled with -zipsum") } if *shardCount < 1 {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 18 19:33:59 UTC 2023 - 6.2K bytes - Viewed (0) -
platforms/native/platform-native/src/testFixtures/groovy/org/gradle/nativeplatform/fixtures/app/CppSum.groovy
import org.gradle.integtests.fixtures.SourceFile import static org.gradle.nativeplatform.fixtures.app.SourceFileElement.ofFile class CppSum extends CppSourceFileElement implements SumElement { final SourceFileElement header final SourceFileElement source CppSum(String publicHeadersDir = "headers") { header = ofFile(new SourceFile(publicHeadersDir, "sum.h", """ #ifdef _WIN32
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Nov 16 20:20:03 UTC 2023 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
// RUN: tf-opt -split-input-file -verify-diagnostics -tf-einsum %s | FileCheck %s func.func @unary_einsum_reduce_sum_transpose(%arg0: tensor<3x4x5x6xf32>) -> tensor<3x5x4xf32> { %0 = "tf.Einsum"(%arg0) {T = "tfdtype$DT_FLOAT", equation = "...gse->...sg"}: (tensor<3x4x5x6xf32>) -> tensor<3x5x4xf32> func.return %0 : tensor<3x5x4xf32> // CHECK-LABEL: unary_einsum_reduce_sum_transpose // CHECK-DAG: %[[cst:.*]] = arith.constant dense<3> : tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/einsum.cc
} struct EinsumDimensionNumbers { // Each field contains the list of dimensions appearing only in the specifed // arguments of the einsum op with natural ordering. For example `rhs_out` // contains the dimensions appearing in the RHS and the OUTPUT of the einsum // but not in the LHS. std::vector<int64_t> lhs; std::vector<int64_t> rhs; std::vector<std::tuple<int64_t, int64_t>> lhs_rhs;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/batchmatmul_to_einsum.mlir
// RUN: tf-opt %s -tf-batch-matmul-to-tf-einsum | FileCheck %s func.func @test_batch_matmul_to_einsum(%arg0: tensor<1x2x3xf32>, %arg1: tensor<3x4xf32>) -> tensor<1x2x4xf32> { // CHECK-LABEL: test_batch_matmul_to_einsum // CHECK: "tf.Einsum"(%arg0, %arg1) <{equation = "...mk,...kn->...mn"}> : (tensor<1x2x3xf32>, tensor<3x4xf32>) -> tensor<1x2x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3K bytes - Viewed (0) -
architecture/standards/0001-use-architectural-decision-records.md
### Format The format for ADR should follow this template: ```markdown # ADR-000X - Title ## Date 20YY-MM-DD ## Context Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Sat Mar 02 21:54:40 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tf_xla_op_to_tf_op.mlir
func.return %0 : tensor<?x2x4x5xf32> } // CHECK: func @xla_dot_v2 // CHECK: %[[einsum:.*]] = "tf.Einsum"(%arg0, %arg1) <{equation = "abc,cde->abde"}> : (tensor<?x2x3xf32>, tensor<3x4x5xf32>) -> tensor<?x2x4x5xf32> // CHECK: return %[[einsum]] : tensor<?x2x4x5xf32> // ----- // dimension_numbers: { // offset_dims: 0 // collapsed_slice_dims: 1 // start_index_map: 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.7K bytes - Viewed (0) -
src/compress/flate/inflate_test.go
// license that can be found in the LICENSE file. package flate import ( "bufio" "bytes" "io" "strings" "testing" ) func TestReset(t *testing.T) { ss := []string{ "lorem ipsum izzle fo rizzle", "the quick brown fox jumped over", } deflated := make([]bytes.Buffer, 2) for i, s := range ss { w, _ := NewWriter(&deflated[i], 1) w.Write([]byte(s)) w.Close() }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 24 23:23:54 UTC 2023 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/lift_as_function_call.td
"\""# func_name #"\", $0...)", returns>; // Add the second argument to the first argument, which is expected to be an // argument list. // bias(einsum(inputs), bias) --> einsum_with_bias(AppendToVector(inputs, bias)) // Since inputs is a vector in case of einsum, we cannot use ArgumentList here. def AppendToVector : NativeCodeCall<"AppendToVector($0, $1)">; // The list of arguments of the composite function.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 25 00:32:20 UTC 2024 - 3.4K bytes - Viewed (0)