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Results 31 - 37 of 37 for 1x1x8x1xf32 (0.16 sec)
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tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
func.func @simple_folding(%arg0: tensor<1x1x1x1xi32>, %arg1: tensor<1x1x1x1xf32>) -> tensor<?x?x?x?xf32> { // CHECK: %[[SHAPE:.*]] = "tf.Shape" // CHECK: %[[CONV:.*]] = "tf.Conv2DBackpropInput"(%[[SHAPE]] // CHECK-SAME: (tensor<4xi32>, tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<1x1x1x1xf32> // CHECK: return %[[CONV]] : tensor<1x1x1x1xf32> %0 = "tf.Shape"(%arg0) : (tensor<1x1x1x1xi32>) -> tensor<4xi32>
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/tests/prepare-quantize.mlir
} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> func.return %1 : tensor<1x1x1x16xf32> // CHECK: %0 = "tfl.dequantize"(%arg0) // CHECK: %1 = "tfl.average_pool_2d"(%0) // CHECK: %2 = "tfl.quantize"(%1) // CHECK: %3 = "tfl.dequantize"(%2) // CHECK: return %3 : tensor<1x1x1x16xf32> } // CHECK-LABEL: QuantizeMaximum
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert-tf-quant-types.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[VAL_7:.*]] = "tf.Const"() <{value = dense<[3, 1, 2, 0]> : tensor<4xi64>}> : () -> tensor<4xi64> // CHECK: %[[VAL_8:.*]] = "tf.Transpose"(%[[VAL_6]], %[[VAL_7]]) : (tensor<1x8x8x16xf32>, tensor<4xi64>) -> tensor<16x8x8x1xf32> // CHECK: return %[[VAL_8]] : tensor<16x8x8x1xf32> // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// CHECK-LABEL: func @tfAssertTrue func.func @tfAssertTrue(%arg0: tensor<1x1x6x2xf32>) { %t = arith.constant dense<true> : tensor<i1> // CHECK-NOT: tf.Assert "tf.Assert"(%t, %arg0) {summarize = 3} : (tensor<i1>, tensor<1x1x6x2xf32>) -> () func.return } // CHECK-LABEL: func @tfAssertFalse func.func @tfAssertFalse(%arg0: tensor<1x1x6x2xf32>) { %f = arith.constant dense<false> : tensor<i1> // CHECK: tf.Assert
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
func.func @conv_valid_padding(%arg0: tensor<1x4x5x1xf32>, %arg1: tensor<3x3x1x1xf32>) -> tensor<1x2x3x1xf32> { // CHECK: mhlo.convolution(%arg0, %arg1) %0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", dilations = [1, 1, 1, 1], padding = "VALID", strides = [1, 1, 1, 1]} : (tensor<1x4x5x1xf32>, tensor<3x3x1x1xf32>) -> tensor<1x2x3x1xf32> func.return %0 : tensor<1x2x3x1xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
// Move binary op batched RHS before reshape: // binary(reshape(lhs), rhs) => reshape(binary(lhs, flatten(rhs))) // Pattern targetted here is as follows- // [input, lhr, rhs] == [<1x1024x128>, <1x1024x8x16>, <1x1x8x16xf32>] // This is valid only when the- // 1.last dimension of lhs is equal to the number of elements in constant rhs. // 2.Reduded shape of rhs, here <8x16> is equal to last dimensions of lhs.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0)