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Results 1 - 10 of 21 for conv2 (0.08 sec)
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tensorflow/compiler/mlir/tensorflow/tests/optimize.mlir
// CHECK-DAG: %[[cst:.*]] = "tf.Const{{.*}} dense<8.000000e+00> : tensor<3x3x3x16xf32> // CHECK-DAG: %[[cst_0:.*]] = "tf.Const{{.*}} dense<1.200000e+01> : tensor<16xf32> // CHECK-NEXT: %[[conv:.*]] = "tf.Conv2D"(%arg0, %[[cst]]) // CHECK-NEXT: %[[bias:.*]] = "tf.AddV2"(%[[conv]], %[[cst_0]]) // CHECK-NEXT: return %[[bias]] : tensor<256x8x7x16xf32> } // CHECK-LABEL: convaddv2mul
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir
%conv = "tf.Conv2D"(%dq_input, %dq_weight) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", 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: Wed May 08 19:32:28 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td
(tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<64x3x3x3xf32> %conv = "tfl.conv_2d"(%input_act, %w, %bias) but if it is supported, it will be rewritten as: %q_w = "tfl.pseudo_qconst"() { qtype = tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>> %conv = "tfl.conv_2d"(%input_act, %q_w, %bias)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-conv.mlir
Michael Levesque-Dion <******@****.***> 1706075999 -0800
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 24 06:08:43 UTC 2024 - 1.6K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/java/org/gradle/internal/component/external/model/ivy/IvyConfigurationHelper.java
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Mar 19 19:13:04 UTC 2024 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fuse_mhlo_convolution.mlir
// CHECK: %[[CONV:.+]] = mhlo.convolution(%[[INPUT]], %[[NEW_FILTER]]) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {stride = [1, 1], pad = {{\[\[}}0, 0], [0, 0]], rhs_dilate = [1, 1]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<?x256x256x3xf32>, tensor<1x1x3x2xf32>) -> tensor<?x256x256x2xf32> // CHECK: %[[SHAPE:.+]] = shape.shape_of %[[CONV]] : tensor<?x256x256x2xf32> -> tensor<4xindex>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_lifting.td
[(HasRankOf<1> $add_rhs_value), (HasEqualElementSize<[-1], [0]> $conv_out, $add_rhs)], [], (addBenefit -1)>; // Convert conv+sub+mul pattern to conv+mul+add. // (conv - sub) * mul -> conv * mul + (-sub) * mul // // This is needed to support Conv+BatchNorm pattern from Jax models converted // using jax2tf w/o native serialization. Note that Jax2tf patterns always
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
// CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[ARG1]], %[[ARG2]]) // CHECK-SAME: (tensor<1x3x4x3xf32>, tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>) -> tensor<1x3x4x2xf32> // CHECK: return %[[CONV]] // ----- // Test that per-channel weight-only quantized dot_general op is produced when
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/default_quant_params.mlir
func.return %7 : tensor<1x112x112x32x!quant.uniform<u8:f32, 1.0>> // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %arg1, %arg2) // CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 0.0078431372549019607:128>> // CHECK: %[[cst:.*]] = "tfl.pseudo_qconst"() // CHECK: %[[add:.*]] = tfl.add(%[[conv]], %[[cst]]) // CHECK-SAME: -> tensor<1x112x112x32x!quant.uniform<u8:f32, 1.000000e+00>> // CHECK: return %[[add]] }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.8K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/ivyservice/resolveengine/store/CachedStoreFactoryTest.groovy
def results2 = new Object() def store1 = factory.createCachedStore("conf1") def store1b = factory.createCachedStore("conf1") def store2 = factory.createCachedStore("conf2") expect: store1.load(() -> results1) == results1 store1.load(() -> { assert false }) == results1 store1b.load(() -> { assert false }) == results1
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Apr 16 15:49:50 UTC 2024 - 1.3K bytes - Viewed (0)