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tensorflow/compiler/mlir/quantization/stablehlo/instrumentations/save_report_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 02:59:01 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list-default-to-single-batch.mlir
func.func @tensorlistReserveConstantUnknownElementShapeDim(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<?x7xf32> { %cst = arith.constant dense<[-1, 7]> : tensor<2xi32> %0 = "tf.TensorListReserve"(%cst, %arg0) : (tensor<2xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<?x7xf32>>> %1 = "tf.TensorListGetItem"(%0, %arg1, %cst) : (tensor<!tf_type.variant<tensor<?x7xf32>>>, tensor<i32>, tensor<2xi32>) -> tensor<?x7xf32> func.return %1 : tensor<?x7xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 14:24:59 UTC 2022 - 766 bytes - Viewed (0) -
src/net/http/sniff_test.go
func testServerIssue5953(t *testing.T, mode testMode) { cst := newClientServerTest(t, mode, HandlerFunc(func(w ResponseWriter, r *Request) { w.Header()["Content-Type"] = []string{""} fmt.Fprintf(w, "<html><head></head><body>hi</body></html>") })) resp, err := cst.c.Get(cst.ts.URL) if err != nil { t.Fatal(err) } got := resp.Header["Content-Type"]
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Oct 07 16:53:14 UTC 2022 - 9.6K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/java/org/gradle/api/internal/artifacts/ModuleComponentSelectorSerializer.java
} public void writeVersionConstraint(Encoder encoder, VersionConstraint cst) throws IOException { encoder.writeString(cst.getRequiredVersion()); encoder.writeString(cst.getPreferredVersion()); encoder.writeString(cst.getStrictVersion()); List<String> rejectedVersions = cst.getRejectedVersions(); encoder.writeSmallInt(rejectedVersions.size());
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/external_constant.mlir
func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> { ^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>): %cst = arith.constant dense<1.0> : tensor<40xf32> %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/fallback_to_flex_patterns.td
// make it easier to create Relu1 matching patterns. def SwapMaximumOperands : Pat< (TF_MaximumOp (TF_ConstOp:$cst $cst_val), $input), (TF_MaximumOp $input, $cst)>; def SwapMinimumOperands : Pat< (TF_MinimumOp (TF_ConstOp:$cst $cst_val), $input), (TF_MinimumOp $input, $cst)>; // Relu1 activation is represented as a couple of Max and Min ops, The following
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 29 21:02:21 UTC 2022 - 3.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir
%cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32> %0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", dilations = [1, 1, 2, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf-while.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir
// CHECK-NEXT: %[[V1:.*]] = "tf.PartitionedCall"(%[[ARG0]], %[[CST]], %[[CST_0]]) <{config = "", config_proto = "", executor_type = "", f = @quantize_i8}> : (tensor<1x3x4x3xf32>, tensor<f32>, tensor<i32>) -> tensor<1x3x4x3xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.5K bytes - Viewed (0)