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Results 1 - 9 of 9 for 512x64xf32 (0.12 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%w = arith.constant dense<127.0> : tensor<512x12xf32> %b = arith.constant dense<0.0> : tensor<512xf32> %fc = "tfl.fully_connected"(%0, %w, %b) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<1x224x224x3xf32>, tensor<512x12xf32>, tensor<512xf32>) -> tensor<1x112x112x512xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir
%0 = stablehlo.constant dense<0.000000e+00> : tensor<1x64xf32> %1 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x3xf32>, tensor<3x64xf32>) -> tensor<1x64xf32> %2 = stablehlo.add %1, %arg2 : tensor<1x64xf32> %3 = stablehlo.maximum %2, %0 : tensor<1x64xf32> return %3 : tensor<1x64xf32> } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir
// CHECK: "tfl.slice" // ----- func.func @fullyConnectedToConv(%arg0: tensor<384x384xf32>, %arg1: tensor<512x384xf32>, %arg2: tensor<512xf32>) -> tensor<384x512xf32> { %0 = "tfl.fully_connected"(%arg0, %arg1, %arg2) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<384x384xf32>, tensor<512x384xf32>, tensor<512xf32>) -> tensor<384x512xf32> func.return %0: tensor<384x512xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir
%0 = "mhlo.dot_general"(%arg0, %arg3) { dot_dimension_numbers = #mhlo.dot< lhs_contracting_dimensions = [2], rhs_contracting_dimensions = [0] >} : (tensor<1x1x512xf32>, tensor<512x13xf32>) -> tensor<1x1x13xf32> %1 = "mhlo.dot_general"(%arg1, %arg3) { dot_dimension_numbers = #mhlo.dot<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 22.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph_test.cc
func.func @main() -> (tensor<32x64xf32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"}) { %cst = "tf.Const"() {value = dense<[524170, 523952]> : tensor<2xi32>} : () -> tensor<2xi32> %cst_0 = "tf.Const"() {value = dense<[32, 64]> : tensor<2xi32>} : () -> tensor<2xi32> %0 = "tf.StatelessRandomNormal"(%cst_0, %cst) : (tensor<2xi32>, tensor<2xi32>) -> tensor<32x64xf32> return %0 : tensor<32x64xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:08:57 UTC 2024 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
// CHECK-LABEL: RemoveReshapeBeforeFullyConnectedExpandDims0 func.func @RemoveReshapeBeforeFullyConnectedExpandDims0(%arg0: tensor<128x64xf32>, %arg1: tensor<32x64xf32>, %arg2: tensor<32xf32>) -> tensor<128x32xf32> { %cst = arith.constant dense<[1, 128, 64]> : tensor<3xi32> %0 = "tfl.reshape"(%arg0, %cst) : (tensor<128x64xf32>, tensor<3xi32>) -> tensor<1x128x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range.mlir
%w = arith.constant dense<127.0> : tensor<512x12xf32> %b = arith.constant dense<0.0> : tensor<512xf32> %fc = "tfl.fully_connected"(%arg0, %w, %b) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<1x224x224x3xf32>, tensor<512x12xf32>, tensor<512xf32>) -> tensor<1x112x112x512xf32> func.return %fc : tensor<1x112x112x512xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 23 21:09:00 UTC 2024 - 23.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%arg5 : tensor<!tf_type.resource<tensor<256x640xf32>>>, %arg6 : tensor<!tf_type.resource<tensor<640xf32>>>, %arg7 : tensor<!tf_type.resource<tensor<512x640xf32>>>, %arg8 : tensor<!tf_type.resource<tensor<640x640xf32>>>, %arg9 : tensor<!tf_type.resource<tensor<4096xf32>>>, %arg10 : tensor<!tf_type.resource<tensor<640x4096xf32>>>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// dimensions into a single dimension. For example, // // %shape = arith.constant dense<[1, 128, 64]> : tensor<3xi32> // %reshape = tfl.reshape(%input, %shape) // %input: tensor<128x64xf32> // %fc = tfl.fully_connected(%reshape, %filter, %bias) // {keep_num_dims = false, weights_format = "DEFAULT"} // // can be canonicalized to //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0)